// Service Catalogue

The Full Service
Catalogue.

Every service we deliver, across all four disciplines and three specialist practices, on one page. Each one comes with a defined scope, a typical duration, and a format – a fixed-scope Quickstart, a Programme, or a Recurring service – so you can see exactly what we do before we talk.


// All Offerings

Every Service, One Catalogue

44 services across 7 areas


// Discipline

AI & Automation

Open the AI & Automation page

A Working, Governed AI Agent in Production. In Weeks, Not Quarters.

Dubai has given its private sector two years to adopt agentic AI. The training on offer will teach your teams what agents can do. It will not get one running safely inside your business. That is the hard part, and it is an infrastructure and governance problem rather than a training one.

The AI Proof Sprint is where you start with something real.

What It Is

A fixed-price engagement of two to three weeks, delivery-led rather than a slide assessment. We take one high-value, well-bounded process in your business and put a working, governed AI agent into it, with the integrations, guardrails, security, and monitoring in place from day one.

What You Walk Away With
Something That Works
  • A live agent running in a real process, not a demo
The Real Blocker, Named
  • A clear read on what actually stands between you and scaling agents across the business
A Costed Path to Scale
  • What it takes to go further, with numbers you can plan around
Who It Is For

Mid-to-large firms in financial services, professional services, retail, and logistics, where an agent has real operational leverage and running it safely is not optional. If you are weighing what agentic AI looks like inside your business, rather than inside an announcement, this is the way in.

Why Vertex Agility
  • Enterprise-grade. We put agents into regulated enterprises and stand behind them. Governance and human-in-the-loop controls are built in from the start, never bolted on.
  • Proven. Delivery credentials with tier-one financial services and professional services clients.
  • Efficient. Delivery teams across the UK, India, and Poland give you cost and capacity most local providers cannot match.
  • Full-stack. Software, data, cloud, DevOps, and platform engineering under one roof. The plumbing agents need to run.
Timeline
2–3 weeks
Engagement Model
Fixed price
Start With a Proof

Two years is a countdown, not a press release. The firms that start now will be the ones everyone else spends the next two years trying to catch.

The Problem

You're rushing into AI without the foundations. If data quality, governance, and culture aren't ready, AI initiatives fail expensively and breed scepticism.

The Challenge
  • AI projects fail from weak data foundations and governance gaps
  • Teams lack the skills and culture to adopt AI
  • Your infrastructure isn't ready to run AI at scale
  • Regulatory and ethical needs get noticed too late
The Why

AI needs the right data, infrastructure, governance, and culture. This diagnostic shows exactly what to build before you launch, so you avoid costly failures and set up sustainable success.

Get a first read today with the free AI Readiness Audit – 15 minutes, a maturity scorecard, and a personalised report to your inbox.

Why It Matters
  • Failed AI wastes effort and kills momentum
  • Without foundations, AI won't scale or deliver value
  • Data quality and governance are prerequisites, not afterthoughts
  • Culture drives adoption more than algorithms do
What You Get (Deliverables)
Infrastructure Maturity Assessment
  • Readiness of compute, storage, and networking for AI workloads
  • Assessment of your MLOps and deployment pipelines
  • Security and compliance frameworks for AI governance
Data & Governance Review
  • Analysis of data quality, lineage, and accessibility
  • Privacy, ethics, and regulatory compliance assessment
  • Evaluation of cataloguing and metadata management
Cultural & Skills Assessment
  • Capability analysis across technical and business teams
  • Change readiness and adoption barriers
  • Training and upskilling recommendations
Strategic AI Roadmap
  • Prioritised use cases with ROI and risk
  • A phased plan with clear milestones
  • Investment requirements and resourcing
Timeline
2 weeks
Engagement Model
Fixed scope
The Outcome

Avoid costly AI missteps. Get a clear, fundable roadmap so leaders can prioritise investment with confidence and deliver ROI.

Ready to Get Started?
The Problem

You struggle to find, validate, and scale AI use cases that deliver measurable value – and you get stuck in proof-of-concept purgatory.

The Challenge
  • Use cases stall in PoC and never make production
  • No systematic approach to find high-value AI opportunities
  • Teams focus on tech over business outcomes
  • Integration challenges prevent real user impact
  • Measurement doesn't capture actual business value
The Why

A factory approach drives rapid iteration, value validation, and scaled deployment so you ship AI that actually pays off.

Why It Matters
  • Systematic delivery raises your AI success rate
  • Business-first focus delivers real value
  • Rapid iteration cuts time-to-value
  • Scalable deployment enables org-wide adoption
What You Get (Deliverables)
Use Case Identification & Validation
  • Process analysis to spot AI opportunities
  • ROI modelling and business case development
  • Technical feasibility checks and PoCs
Iterative Development Process
  • Agile AI with rapid prototyping
  • Continuous user feedback and model improvement
  • A/B testing to validate outcomes
Production Deployment & Scaling
  • MLOps pipelines for deploy and monitor
  • Integration with your systems and workflows
  • Performance monitoring and continuous improvement
Value Measurement & Optimisation
  • Business impact measurement and ROI tracking
  • Model performance monitoring and drift detection
  • Ongoing optimisation from usage patterns
Timeline
12–24 weeks
Engagement Model
Programme
The Outcome

Deliver multiple AI use cases that generate substantial value. Escape PoC purgatory and scale what works.

Ready to Get Started?
The Problem

Your processes are still manual and inefficient despite available AI. That creates bottlenecks and puts you behind on cost, speed, and accuracy.

The Challenge
  • Manual steps create bottlenecks and limit scale
  • Human error in routine tasks reduces quality and consistency
  • Inefficient processes increase cost and reduce competitiveness
  • Your team wastes time on repetitive work, not strategy
  • Traditional automation can't handle judgment-based steps
The Why

Combine human judgment with AI to unlock efficiency, accuracy, and scalability – and free your people for higher-value work.

Why It Matters
  • AI can transform your operational efficiency and position
  • Automated processes scale without proportional headcount
  • Consistency from AI reduces errors and rework
  • Your staff can focus on strategic and customer-facing work
What You Get (Deliverables)
Process Analysis & AI Opportunity Mapping
  • End-to-end documentation and analysis of key processes
  • AI opportunity identification and impact assessment
  • Change management planning for adoption
AI Solution Development & Integration
  • Custom AI for document processing, decision support, and automation
  • Workflow integration with your systems
  • Interfaces for effective human-AI collaboration
Pilot Implementation & Validation
  • A controlled pilot with success metrics
  • User training and change support
  • Performance validation and optimisation from real use
Full-Scale Deployment & Support
  • Phased rollout across the organisation
  • Ongoing monitoring, maintenance, and improvement
  • ROI tracking and success reporting
Timeline
6–12 weeks
Engagement Model
Programme
Proven Results
AI-Powered Inventory Management
Leading UK Retail Chain

Developed ML-powered demand forecasting system with automated reordering and real-time inventory optimisation.

85%
 
Stockout Reduction
-40%
 
Excess Inventory
94%
 
Forecast Accuracy
Why Vertex Agility Rapid Delivery – Agile methodology with weekly sprints and continuous stakeholder feedback.
The Outcome

Achieve sizeable efficiency gains in core processes, cut costs meaningfully, and improve speed and accuracy.

Ready to Get Started?

Know Exactly What It Takes to Run Your AI Properly – Before You Commit to Anything.

A fixed-fee engagement of two to three weeks. We map your stack, and where model monitoring does not already exist – which is the usual case – we deploy and tune off-the-shelf tooling to your models, in your own cloud environment, so your data never leaves it. Where we did not build the system, this is how we learn to run it.

What You Get (Deliverables)
A Run-Readiness Report
  • The stack mapped: models, pipelines, endpoints, and where the risk sits today
  • The gaps a risk function would flag, named plainly
  • An SLA baseline set against how the system actually behaves
Monitoring Deployed & Tuned
  • Standard, proven tooling deployed into your tenant – not a platform of ours you get locked into
  • Tuned to your models and thresholds, not left at defaults
  • Live instrumentation, not a slide about instrumentation
A Costed Bill of Materials
  • The running costs you will bear – data capture, storage, compute, licences – surfaced up front
  • The cost that usually bites (prediction logging) identified before it does
  • No mid-contract surprises, by design
A Clean Route Into the Run
  • The managed transition scoped on the face of the report
  • Part of the audit fee credited against the retainer on conversion
  • Walk away after the audit if you choose – the report is yours either way
Who It Is For

Organisations with AI or data systems live in production – whether we built them or someone else did. It is also the natural next step when a free AI Health Scan comes back red or amber: the scan shows you the symptom on one model, the audit instruments the estate and confirms what it means.

Timeline
2–3 weeks
Engagement Model
Fixed fee
The Outcome

You decide about the retainer with the facts in hand: what is monitored, what it costs to run, and where the risk sits today.

The Recurring Assurance Layer That Keeps Your AI Accurate, Governed and in Control.

An AI system in production is not a finished thing. It is a living system that decays quietly. Accuracy drifts as the world moves under the model, nothing crashes, and the first anyone hears of it is a bad decision, a complaint, or a regulator's question.

We built it, or we adopt what you have built. Then we run it – on an SLA, with a named owner, and evidence you can show your own risk function.

The Problem
  • Models rot silently – accuracy drifts while the dashboards stay green
  • Nobody owns the run – the people who built it move on, and your team can keep the servers up but cannot diagnose a drifting model
  • The bill creeps – inference and compute cost drifts upward because no one watches it as a discipline
  • The evidence does not exist – when risk, audit or a regulator asks “prove this model is behaving”, there is no lineage, no eval history, no model card
What It Is

A managed service built on two layers. The platform layer – infrastructure, pipelines, uptime, cost – is the floor. The ModelOps layer is the product: model accuracy and performance, data and concept drift, retraining, eval scoring, guardrail and RAG monitoring, lineage and model cards. Generic managed DevOps watches the infrastructure; we watch the thing that actually degrades.

How It Starts

Every engagement opens with the fixed-fee Onboarding & Assurance Audit above: two to three weeks to map the stack, deploy and tune monitoring in your own environment, and set the SLA baseline – with part of the fee credited against the retainer on conversion. Not sure you need any of this yet? Start with the free AI Health Scan on one model.

What You Get (Deliverables)
Someone Watching the Model
  • Models, pipelines and endpoints monitored against defined SLAs
  • Data and concept drift detection, so degradation is caught before your users feel it
  • Eval scoring and guardrail monitoring for LLM and RAG systems
Accuracy Kept, Not Just Checked
  • A defined retraining and re-validation cadence
  • A committed block of ML engineering days each month, drawn against a change menu
  • Model tuning, threshold work, pipeline changes, and new models brought into scope
Accountability & Cost Control
  • Incident response to an agreed SLA, with a named contact rather than a ticket queue
  • FinOps discipline on inference and compute spend – frequently self-funding
  • A UK-fronted service owner, with delivery teams across the UK, India, and Poland
The Monthly Assurance Pack
  • Audit logs, lineage, model cards and eval reports, produced monthly
  • The evidence a regulated client can show its own risk function
  • A monthly service review against the SLA baseline
Who It Is For

Mid-market organisations with AI or data systems live in production – whether we built them or someone else did. Two tiers: Foundation, business-hours monitoring of a small model estate with a monthly assurance pack, and Managed, extended cover with a defined incident SLA, a monthly retrain cadence, and the committed evolve block.

Timeline
Ongoing
Engagement Model
Audit, then retainer
The Outcome

Your AI stays accurate, governed and provably in control – continuity and accountability, evidenced monthly, instead of an incident explained after the fact.

The Problem

You need 24/7 intelligent automation that traditional software can't deliver, and hiring in-house AI expertise is costly and complex.

The Challenge
  • Your functions need intelligence beyond traditional automation
  • Round-the-clock operations require consistency without human oversight
  • AI agent development and maintenance need specialised skills
  • Integrating with your existing systems is complex and time-consuming
  • Performance optimisation requires ongoing attention
The Why

AI agents run business functions autonomously, deliver consistent performance, and free your team for strategic, creative, relationship-focused work.

Why It Matters
  • Operate 24/7 without constant human intervention
  • Scale operations without scaling headcount
  • Consistency improves service quality and satisfaction
  • Reallocate talent to innovation and growth
What You Get (Deliverables)
Custom AI Agent Development
  • Intelligent chatbots and virtual assistants for customer service
  • Process automation agents for complex workflows
  • Decision agents for routine, judgement-based tasks
Integration & Deployment
  • Direct integration with your systems and databases
  • Multi-channel deployment across web, mobile, and messaging
  • A management UI for agent control and monitoring
Performance Management
  • Continuous learning and improvement from usage
  • Performance monitoring tuned to business outcomes
  • A/B testing for agent improvements
Ongoing Support & Enhancement
  • 24/7 monitoring and maintenance
  • Regular capability updates and enhancements
  • Business impact reporting and ROI measurement
Timeline
Ongoing
Engagement Model
Managed Service
The Outcome

Deliver notable productivity gains and reduce manual workload, freeing high-value staff for strategic work while maintaining round-the-clock operations.

Ready to Get Started?
// Discipline

Cloud & Platform

Open the Cloud & Platform page
The Problem

Cloud migrations often fail because planning is thin, complexity is underestimated, and expectations don't match reality. Without proper assessment, you risk budget overruns, delays, performance issues, or outright failure.

The Challenge
  • You underestimated migration complexity, causing budget and timeline overruns
  • Your legacy apps weren't assessed for cloud compatibility
  • Hidden dependencies trigger unexpected failures during migration
  • Security and compliance needs weren't planned properly
  • Your teams lack cloud-native skills and operating models
The Why

Successful cloud adoption starts with knowing what you're moving, why, and how it will work in the cloud. This assessment gives you the clarity and confidence to migrate successfully and avoid common pitfalls.

Why It Matters
  • Failed migrations can cost millions and disrupt operations
  • Without assessment, you just move technical debt to expensive cloud
  • Most teams underestimate cultural and operational changes
  • Cloud success requires new skills, processes, and operating models
What You Get (Deliverables)
Application Portfolio Analysis
  • A detailed inventory of apps, dependencies, and cloud compatibility
  • Migration recommendations (re-host, re-factor, re-build, re-platform, retire)
  • Risk assessment and mitigation for each workload
Infrastructure & Architecture Review
  • Current state documentation and target cloud architecture
  • Analysis of network, security, and integration requirements
  • Performance and scalability considerations
Cost & Resource Planning
  • Detailed cost modelling for cloud infrastructure and operations
  • Resource requirements and team skill gap analysis
  • ROI projections and a defensible business case
Migration Roadmap
  • A phased migration plan with clear priorities and dependencies
  • Timeline, milestones, and success criteria
  • Risk mitigation and rollback strategies
Timeline
2–3 weeks
Engagement Model
Fixed scope
The Outcome

Avoid costly migration mistakes. Get a clear view of risks and costs and a plan that prevents overruns and downtime.

Ready to Get Started?
The Problem

On-premises infrastructure constrains your agility, raises operational costs, and blocks access to modern cloud capabilities and global scale.

The Challenge
  • On-premises demands heavy capital and ongoing maintenance
  • Legacy systems can't scale quickly with demand
  • Disaster recovery and continuity are expensive and complex
  • Global expansion needs significant infrastructure investment
  • Security and compliance management consumes resources
The Why

Migrating to cloud increases agility, reduces overhead, and opens up advanced services that drive advantage.

Before anything moves, download the free Cloud Migration Readiness Checklist – the dependencies most organisations only discover once the project is already behind.

Why It Matters
  • Cloud infrastructure lets you scale rapidly to meet demand
  • Costs shift from capital to operating expenditure
  • Global reach and redundancy improve customer experience
  • Cloud-native services accelerate innovation
What You Get (Deliverables)
Migration Strategy & Execution
  • A comprehensive plan with risk mitigation
  • Application assessment and migration pathways
  • Phased execution with minimal disruption
Cloud Architecture & Deployment
  • Cloud-native architecture for scale and resilience
  • Infrastructure as Code for consistent deployments
  • Multi-region setup for reach and disaster recovery
Security & Compliance
  • Cloud security framework and continuous monitoring
  • Identity and access management with SSO
  • Compliance automation for regulations
Operations & Optimisation
  • Cloud ops training and capability transfer
  • Cost optimisation and resource management
  • Performance monitoring and continuous improvement
Timeline
3–12 months
Engagement Model
Programme
The Outcome

Save substantially on run costs and cut operational burden while improving scalability and speed.

Ready to Get Started?
The Problem

Your teams spend too much time on infrastructure instead of building features, and inconsistent platforms add deployment complexity and operational overhead.

The Challenge
  • Developers lose time to infrastructure instead of features
  • Inconsistent deployments cause errors and delays
  • Platform complexity requires specialist knowledge
  • Manual infrastructure doesn't scale with growth
  • Lack of standards increases security and compliance risk
The Why

A developer platform abstracts infrastructure, standardises delivery, and lets your teams focus on business value.

Benchmark where you stand first with the free Platform Engineering Maturity Assessment – a five-pillar model for an honest read on your internal developer platform.

Why It Matters
  • Developer productivity directly affects feature delivery
  • Standardised platforms cut operational overhead and risk
  • Self-service capabilities speed development
  • Abstractions enable rapid scaling and adoption
What You Get (Deliverables)
Platform Strategy & Design
  • A developer experience assessment and platform requirements
  • Architecture for a scalable, self-service developer platform
  • Technology selection and integration plan
Platform Development & Implementation
  • Kubernetes setup with automated scaling and management
  • CI/CD templates and deployment automation
  • Service mesh for microservices communication
Developer Tools & Self-Service
  • A developer portal with documentation and self-service
  • Infrastructure as Code templates for common patterns
  • Monitoring and observability for application insights
Team Enablement & Support
  • Training on platform capabilities and best practices
  • Migration support for existing apps
  • Ongoing evolution based on developer feedback
Timeline
8–16 weeks
Engagement Model
Programme
The Outcome

Increase developer velocity and reduce operational burden so teams focus on revenue-generating features.

Ready to Get Started?
The Problem

Your cloud costs spiral because of over-provisioning, unused resources, and poor visibility – consuming budget you need for growth.

The Challenge
  • Cloud costs grow unpredictably without monitoring and controls
  • Over-provisioned resources waste money without more performance
  • Low visibility keeps optimisation reactive and ineffective
  • Teams aren't aware of the cost impact of their decisions
  • Manual optimisation doesn't scale as you grow
The Why

Cost engineering gives you continuous optimisation, automated guardrails, and education so you stay efficient while scaling.

Why It Matters
  • Uncontrolled cloud costs can swallow your IT budget
  • Savings free budget for innovation and growth
  • Automated controls prevent cost surprises
  • Cost awareness improves architecture and operations
What You Get (Deliverables)
Cost Analysis & Optimisation
  • A comprehensive spend analysis with opportunities
  • Right-sizing based on actual usage patterns
  • Reserved and spot instance strategy
Automated Cost Controls
  • IaC with cost guardrails and limits
  • Automated cleanup and lifecycle management
  • Budget alerts and approval workflows
Monitoring & Reporting
  • Real-time cost dashboards with trend analysis
  • Chargeback/showback reporting by business unit
  • Anomaly detection with automated alerts
Team Education & Governance
  • Developer training on cost-effective practices
  • Cost governance policies and approvals
  • Regular optimisation reviews and actions
Timeline
Ongoing
Engagement Model
Managed Service
The Outcome

Maintain ongoing savings year-on-year while keeping performance where you need it.

Ready to Get Started?
The Problem

Your cloud estate lacks real resilience testing and compliance controls, raising the risk of outages, breaches, and regulatory penalties.

The Challenge
  • System failures can disrupt revenue and operations
  • Compliance requirements are complex and constantly changing
  • DR plans are untested and may fail when needed
  • Security vulnerabilities expose business and customer data
  • Regulatory violations can lead to fines and restrictions
The Why

Proactive resilience and compliance engineering prevents costly outages and violations while building trust and continuity.

Want the 15-minute version first? The free Downtime Defence Audit scores your DR, backups, and incident readiness – with a personalised report to share internally.

Why It Matters
  • Outages hit revenue and customer satisfaction
  • Compliance failures cause fines and reputation damage
  • Proactive testing prevents peak-time failures
  • A strong posture enables expansion and customer trust
What You Get (Deliverables)
Resilience Assessment & Testing
  • Chaos engineering to test real-world failures
  • Disaster recovery testing and validation
  • Business continuity planning and failover strategies
Compliance Framework Implementation
  • Automated compliance monitoring and reporting
  • Policy as code for consistent governance
  • Audit trail automation and documentation
Security & Risk Management
  • Security architecture review and vulnerability assessment
  • Incident response procedures and automation
  • Risk assessment and mitigation planning
Continuous Improvement
  • Regular resilience and compliance health checks
  • Updates for evolving regulatory requirements
  • Lessons learned baked into your process
Timeline
6–12 weeks
Engagement Model
Programme
The Outcome

Improve resilience and compliance to protect revenue and avoid costly fines and reputation damage.

Ready to Get Started?
// Discipline

Data & Analytics

Open the Data & Analytics page
The Problem

You're flying blind on data. Without a clear view of your estate or alignment with business outcomes, you waste time and money on work that doesn't scale, integrate, or deliver value – and you often lack visibility into reliability, security, and compliance.

The Challenge
  • Limited visibility into your data estate leads to misaligned initiatives
  • You spend on solutions that don't scale or integrate
  • Poor data quality slows decisions and progress
  • You lack clarity on security, compliance, and governance
  • Hidden risks increase your regulatory and operational exposure
The Why

Data only creates value when it's trusted, secure, and aligned to your goals. This Discovery Quickstart shows where you stand and what to do next – what's valuable, what's redundant, what's missing, and what to prioritise.

Why It Matters
  • Data delivers value only when it's trusted, secure, and aligned to goals
  • Without a baseline, you can't scale data initiatives confidently
  • You may not know what data to keep, use, or retire
  • Poor visibility leads to duplication, inefficiency, and missed opportunities
  • It's not just cleaning data – it's making data work for the business
What You Get (Deliverables)
Current State Assessment
  • Review of your data sources, architecture, tooling, and platforms
  • Evaluation of your cataloguing, governance, and lineage
  • Identification of gaps, redundancies, and high-risk areas
Data Pipeline & Integration Review
  • Mapping of your key pipelines and dependencies
  • Assessment of performance, scalability, and technical debt
  • Insights into data quality, latency, and transformations
Capability Maturity Snapshot
  • Benchmarking against DAMA and CDMC
  • A clear view of team capability, tooling effectiveness, and readiness
Quick Win Identification
  • A prioritised list of low-effort, high-impact opportunities
  • Business-aligned recommendations to unlock value quickly
Future-State Vision & Roadmap
  • A phased, actionable roadmap aligned to your strategy
  • Investment cases to secure buy-in and funding
  • High-level architecture and platform recommendations
Executive Summary & Playback Session
  • Plain-English outputs for business stakeholders
  • Technical appendices for data and IT teams
  • A collaborative playback with your leadership to align next steps
Timeline
2 weeks
Engagement Model
Fixed-scope engagement, Available remotely or on-site
The Outcome

Cut the guesswork and focus on what actually drives value. Get the clarity to stop investing in the wrong places and unlock measurable ROI quickly.

Ready to Get Started?
The Problem

Your legacy data warehouse and ETL block modern analytics, AI capabilities, and real-time insights that drive competitive advantage.

The Challenge
  • Legacy warehouses can't support modern analytics and AI workloads
  • ETL processes are slow, brittle, and hard to maintain
  • Data silos prevent end-to-end business insight
  • Scaling legacy systems is expensive and complex
  • Modern tools can't integrate with outdated infrastructure
The Why

Modern cloud-native platforms enable real-time analytics, AI, and scalable processing so you can understand and respond to the market faster.

Why It Matters
  • Modern platforms enable real-time decisions and advantage
  • Cloud-native solutions cut infrastructure cost and complexity
  • Scalable platforms support growth without re-architecture
  • Modern platforms unlock AI and machine learning
What You Get (Deliverables)
Migration Strategy & Planning
  • A comprehensive assessment of your warehouse and ETL
  • Cloud platform selection and target architecture design
  • A detailed migration plan with risks and rollback strategies
Data Platform Implementation
  • Deployment and configuration of a cloud-native data warehouse
  • Modern ETL/ELT pipelines with monitoring and alerting
  • A data lake for structured and unstructured data
Performance Optimisation
  • Query performance tuning and indexing
  • Partitioning and compression strategies
  • Auto-scaling and cost optimisation
Team Enablement & Support
  • Training on your new platform and best practices
  • Documentation and operational runbooks
  • Ongoing support during the transition
Timeline
8–16 weeks
Engagement Model
Programme
Proven Results
Clinical Data Analytics Platform
NHS Trust

Built unified data lake with real-time analytics, patient journey mapping, and predictive care models.

15+
 
Data Sources Unified
22%
 
Readmission Reduction
35%
 
Efficiency Gain
Why Vertex Agility Deep Domain Expertise – Specialists in your industry with proven track record and relevant case studies.
The Outcome

Build a scalable, future-ready foundation. Clients have significantly reduced infrastructure costs while unlocking real-time analytics and AI.

Ready to Get Started?
The Problem

Your users can't access insights where they work. Separate tools slow decisions and reduce the value of your analytics investment.

The Challenge
  • Users must switch between apps to see insights, adding friction
  • Complex tools require specialist training
  • Insights sit outside business workflows and processes
  • Poor UX reduces adoption and impact
  • IT becomes a bottleneck for analytics requests and changes
The Why

Embed insights directly into user workflows to increase adoption, speed up decisions, and maximise data value.

Why It Matters
  • Embedded insights improve adoption and decision quality
  • Contextual analytics increase relevance and impact
  • Self-service reduces IT burden and improves agility
  • Better UX drives satisfaction and stickiness
What You Get (Deliverables)
Analytics Integration Strategy
  • Assessment of your applications and user workflows
  • Integration architecture that disappears into the host app
  • UX design optimised for embedded insights
Dashboard & Visualisation Development
  • Custom dashboards integrated into your product
  • Interactive visualisations with drill-downs
  • Mobile-responsive design for any device
Self-Service Analytics Platform
  • A drag-and-drop report builder for business users
  • Automated report generation and distribution
  • Real-time refresh and alerting
Performance & Scalability
  • Optimised queries and caching for fast response
  • Scalable architecture for concurrent users
  • Monitoring and alerting for performance
Timeline
4–8 weeks
Engagement Model
Programme
The Outcome

Increase product adoption and reduce churn by putting insights where work happens.

Ready to Get Started?
The Problem

You need specialist data engineering, but hiring and retention are tough while demand for data keeps growing.

The Challenge
  • Skilled data engineers are costly and hard to recruit
  • Pipeline maintenance competes with new features
  • Complex data projects need deep expertise
  • Demand for data often exceeds your internal capacity
  • Data quality needs continuous monitoring and improvement
The Why

Dedicated data pods give you consistent capacity, specialist skills, and proven methods so your data operations stay reliable and your roadmap moves.

Why It Matters
  • Reliable data operations underpin decision-making
  • Specialist expertise reduces project risk and timelines
  • Consistent capacity enables a predictable roadmap
  • External pods bring best practice and modern tech
What You Get (Deliverables)
Dedicated Data Engineering Teams
  • Cross-functional pods with engineers, architects, and analysts
  • Expertise across the modern data stack
  • Agile methods adapted to data engineering
Pipeline Development & Maintenance
  • Production-grade ETL/ELT with end-to-end error handling
  • Automated data quality monitoring and validation
  • Performance optimisation and scalability improvements
Data Platform Operations
  • 24/7 monitoring and alerting for pipeline health
  • Proactive maintenance and issue resolution
  • Capacity planning and infrastructure optimisation
Knowledge Transfer & Capability Building
  • Documentation and best practices for your teams
  • Training and mentoring programs
  • Optional transition to internal ownership
Timeline
Ongoing
Engagement Model
Managed Service
The Outcome

Sustain savings and agility without hiring headaches, and respond faster to business needs.

Ready to Get Started?
The Problem

You have valuable data assets but lack the strategy, technology, and go-to-market to monetise them – internally or as new revenue.

The Challenge
  • Valuable data remains untapped and unmonetised
  • No clear product strategy or market positioning
  • Your infrastructure isn't built for external data sharing
  • Regulation and privacy complicate data access
  • Sales and marketing lack data product playbooks
The Why

Turn static data into products that generate revenue and improve efficiency, and differentiate you in the market.

Why It Matters
  • Data products can create significant recurring revenue
  • Monetised data improves overall valuation
  • Differentiated data offerings win competitive deals
  • Internal data products sharpen decisions and efficiency
What You Get (Deliverables)
Data Product Strategy
  • A data asset inventory and monetisation assessment
  • Market research and competitive analysis
  • Business model and pricing strategy
Product Development & Implementation
  • Secure APIs for controlled data access
  • Packaging and delivery mechanisms
  • A self-service UI for data access
Go-to-Market Support
  • Sales enablement and marketing materials
  • Customer onboarding and support processes
  • Success metrics and performance monitoring
Compliance & Security
  • A privacy and regulatory compliance framework
  • Security architecture for external data sharing
  • Governance and access control mechanisms
Timeline
12–24 weeks
Engagement Model
Programme
The Outcome

Create new recurring revenue by monetising existing data, and raise investor confidence and valuation.

Ready to Get Started?
// Discipline

Software Engineering

Open the Software Engineering page
The Problem

You're stuck with legacy applications that now create business risk. Without clear visibility into technical debt, performance bottlenecks, and fragile architecture, you end up firefighting outages and shipping features late.

The Challenge
  • Legacy systems add maintenance overhead and slow your innovation
  • Technical debt piles up because you can't see the business impact
  • Architecture decisions aren't aligned to your business goals
  • Critical risks stay hidden until they become expensive problems
The Why

Before you invest in modernisation, you need to know what to fix, what to retire, and what delivers the most business value. This isn't just tech – it's about aligning your spend to outcomes.

Why It Matters
  • Your technical decisions set your speed and competitive edge
  • Without a clear baseline, modernisation spend misses the mark
  • You may not know which apps actually drive business value
  • Poor visibility leads to costly surprises and emergency fixes
What You Get (Deliverables)
Current State Assessment
  • Review of your application architecture, dependencies, and tech stack
  • Evaluation of performance, security, and scalability constraints
  • Identification of technical debt hotspots and their business impact
Risk & Opportunity Analysis
  • A critical risk register with business impact
  • Quick wins that deliver value fast
  • Long-term opportunities for competitive advantage
Strategic Roadmap
  • A prioritised backlog aligned to your outcomes
  • Investment cases for your modernisation initiatives
  • A clear timeline with resources and ROI projections
Executive Summary
  • Plain-English outputs for business stakeholders
  • Technical appendices for development teams
  • A collaborative review session to align next steps
Timeline
1–2 weeks
Delivery Model
Fixed scope
The Outcome

Cut the firefighting and make steady progress. This Quickstart gives you the clarity to invest where it matters, avoid outages, and accelerate feature delivery and growth.

Ready to Get Started?
The Problem

Your legacy technology stack blocks growth. It creates technical debt, security vulnerabilities, and scaling limits that stop you competing effectively in digital markets.

The Challenge
  • Legacy systems can't support your modern requirements or scale
  • Technical debt slows feature delivery and increases maintenance cost
  • Security gaps expose your business to cyber threats
  • Integration complexity stops you adopting modern tools and practices
  • Developer productivity suffers because the tech is outdated
The Why

A modern stack lets you build faster, tighten security, scale on demand, and lower run costs. Re-platforming is about enabling agility and competitive advantage – not just updating tech.

Why It Matters
  • Legacy tech constrains your growth and responsiveness
  • Modern stacks reduce costs while improving performance
  • Developer productivity drives your time-to-market
  • Security and compliance demand modern infrastructure
What You Get (Deliverables)
Technology Assessment & Strategy
  • A comprehensive review of your current stack and constraints
  • Modern architecture design aligned to your requirements
  • Technology selection optimised for scale, security, and cost
Migration Planning & Execution
  • A phased migration strategy that minimises disruption
  • Data migration with integrity checks and rollback options
  • Application re-platforming using modern practices
Infrastructure Modernisation
  • Cloud-native infrastructure with auto-scaling and resilience
  • DevOps pipelines that enable continuous deployment
  • Monitoring and observability for proactive resolution
Team Enablement
  • Developer training on the new stack
  • Documentation and best practices for ongoing maintenance
  • Knowledge transfer so your team is independent
Timeline
3–12 months
Delivery Model
Programme
Proven Results
Core Banking System Modernisation
Major UK Financial Services Provider

Implemented microservices architecture with cloud-native deployment, automated CI/CD pipelines, and comprehensive testing frameworks.

95%
faster
Deployment Speed
300%
 
Performance Gain
99.9%
 
Uptime
Why Vertex Agility Partner-Level Attention – Direct access to senior consultants and decision-makers, not junior resources.
The Outcome

Increase deployment velocity and reduce failures so you launch faster, enter markets sooner, and lower operational cost and risk.

Ready to Get Started?
The Problem

You struggle to maintain consistent product velocity because of capacity constraints, skill gaps, and competing priorities that derail your roadmap and slow time to market.

The Challenge
  • Inconsistent capacity delays your roadmap
  • Skill gaps block adoption of modern practices
  • Competing priorities break team focus and productivity
  • Hiring and retaining developers is expensive and slow
  • A lack of clear metrics makes optimisation hard
The Why

Dedicated product pods give you consistent capacity, specialist skills, and proven methods that accelerate delivery while maintaining quality and reducing risk.

Why It Matters
  • Consistent velocity is critical for competitive advantage
  • Specialised skills and good practice reduce delivery risk
  • Predictable capacity enables confident roadmap planning
  • External expertise brings fresh perspectives and best practice
What You Get (Deliverables)
Cross-Functional Development Pods
  • Dedicated teams with product, engineering, and design
  • Agile delivery tailored to your product and context
  • Continuous delivery that ships value regularly
Performance Metrics & Reporting
  • KPI dashboards for velocity, quality, and outcomes
  • Regular reviews with actionable insights
  • Continuous improvement based on data
Knowledge Transfer & Capability Building
  • Hands-on skills transfer to your team
  • Process documentation and best practices
  • Mentoring and coaching for internal growth
Flexible Engagement Models
  • Capacity that scales with your priorities and budget
  • Expertise across multiple stacks and domains
  • A long-term partnership that adapts as you evolve
Timeline
Ongoing
Delivery Model
Managed Service
Proven Results
PropTech Platform MVP
Early-Stage Property Technology Startup

Rapid MVP development using modern tech stack, user feedback integration, and iterative delivery approach.

8
weeks
Time to Market
40%
 
User Engagement
10k+
 
User Growth
Why Vertex Agility Flexible Engagement Models – Adaptive approaches from quick wins to long-term partnerships, scaled to your needs.
The Outcome

Predictable throughput and rapid launches enable confident planning. Clients have secured funding soon after MVP while building internal capability.

Ready to Get Started?
The Problem

Your developers lose time to manual processes, environment setup, and tooling complexity instead of delivering features that move the business.

The Challenge
  • Manual deployments slow delivery and create errors
  • Complex environment setup cuts developer productivity
  • Inconsistent tooling across teams creates integration issues
  • No self-service means bottlenecks and dependencies
  • Poor developer experience hurts morale and retention
The Why

A well-designed platform removes friction, automates routine work, and enables self-service so your teams move faster and stay happier.

Why It Matters
  • Developer productivity powers your agility and competitiveness
  • Self-service reduces operational overhead and queues
  • Consistent tooling improves quality and reliability
  • Better DX helps you hire and retain great people
What You Get (Deliverables)
Self-Service Development Environments
  • Automated provisioning for dev, test, and staging
  • Standardised toolchains and configurations
  • Integration with the IDEs your teams use
Golden Path Implementation
  • Best-practice templates to start new services fast
  • Automated code quality checks and security scanning
  • Standard pipelines with built-in approvals
Developer Portal & Documentation
  • A central portal for tools and resources
  • Interactive docs with examples and tutorials
  • A service catalogue with API docs and guidelines
Monitoring & Analytics
  • Productivity metrics and bottleneck insights
  • Platform usage analytics with optimisation tips
  • Continuous feedback loops to improve DX
Timeline
8–16 weeks
Delivery Model
Programme
The Outcome

Improve release cadence and reduce change failure rates with automated pipelines and guardrails, so developers focus on innovation, not infrastructure.

Ready to Get Started?
The Problem

You're under pressure to move fast and keep quality high, but manual checks and weak visibility create technical debt, incidents, and slow releases.

The Challenge
  • Manual testing slows releases and misses critical issues
  • Inconsistent code standards add maintenance overhead
  • Poor observability hides problems and delays response
  • Error-prone deployments create downtime risk
  • Quality gates get bypassed under pressure, adding debt
The Why

Automated quality lets you move faster and safer. You get a sustainable balance between speed and reliability that the business can trust.

For a taste of the engineering standards involved, download the free Criteria Pattern paper – a production-grade query abstraction drawn from real engagements.

Why It Matters
  • Quality issues hit customer satisfaction and reputation
  • Automation enables faster, more confident releases
  • Observable systems cut time to resolve incidents
  • Consistent standards reduce long-term maintenance costs
What You Get (Deliverables)
Automated Testing Framework
  • Automated unit, integration, and end-to-end coverage
  • Performance and load tests built into CI/CD
  • Automated security testing and vulnerability scanning
CI/CD Pipeline Optimisation
  • Fast, reliable pipelines with automatic rollbacks
  • Feature flags for safe, gradual rollouts
  • Automated quality gates that block low-quality code
Observability & Monitoring
  • Application performance monitoring with real-time alerts
  • Distributed tracing for complex debugging
  • Dashboards that tie tech performance to business outcomes
Continuous Improvement
  • Regular reviews of quality metrics with clear actions
  • Post-incident analysis and process improvements
  • Coaching on quality engineering practices
Timeline
Ongoing
Delivery Model
Managed Service
The Outcome

Increase deployment frequency and lower incident rates so you move faster while keeping systems reliable and customers happy.

Ready to Get Started?
The Problem

You depend on manual intervention and escalations to handle incidents. That creates bottlenecks, hurts reliability, and stops teams operating independently.

The Challenge
  • Manual incident response adds delays and human errors
  • Teams lack confidence to resolve issues independently
  • Escalations create bottlenecks and operational overhead
  • Systems don't self-heal common failure scenarios
  • On-call burden damages morale and balance
The Why

Autonomous teams and self-healing systems respond faster, reduce cost, and raise reliability – without constant oversight.

Why It Matters
  • Faster response reduces business impact from incidents
  • Self-healing prevents minor issues becoming outages
  • Fewer escalations free senior engineers for strategic work
  • Independent teams operate effectively across time zones
What You Get (Deliverables)
Self-Healing System Design
  • Automated failure detection and recovery
  • Circuit breakers and fallback strategies for resilience
  • Auto-scaling and resource optimisation by demand
Automated Incident Response
  • Intelligent alerting that reduces noise and focuses action
  • Automated remediation for common scenarios
  • Runbook automation with decision trees for complex paths
Team Capability Development
  • Incident response training and simulations
  • Knowledge systems that capture critical knowledge
  • Mentoring that builds independent problem-solving
Operational Excellence Framework
  • SLIs/SLOs aligned to business objectives
  • Error budgets for risk-based decisions
  • Continuous improvement based on operational metrics
Timeline
6–12 weeks
Delivery Model
Programme
The Outcome

Operate with dramatically fewer escalations, reduce management overhead, and achieve around-the-clock resilience without constant supervision.

Ready to Get Started?
The Problem

Your backend consumes too many resources and under-delivers on performance because of inefficient architecture, unoptimised queries, and wasteful resource allocation.

The Challenge
  • High cloud costs eat budget you could spend on innovation
  • Poor performance hurts user experience and business metrics
  • Inefficient queries create database bottlenecks and scaling issues
  • Over-provisioned resources waste money without improving speed
  • Weak monitoring keeps optimisation reactive
The Why

An optimised backend runs faster for less, freeing budget for growth while improving reliability and user experience.

Why It Matters
  • Backend performance directly impacts conversion and retention
  • Cloud cost optimisation frees budget for product and marketing
  • Efficient systems scale better and more cheaply
  • Performance work often surfaces architectural improvements
What You Get (Deliverables)
Performance Analysis & Optimisation
  • Comprehensive profiling to identify bottlenecks
  • Database query optimisation and indexing strategy
  • Application code optimisation for efficiency
Architecture Review & Enhancement
  • System architecture analysis with concrete improvements
  • Caching strategies to reduce response times
  • Microservices and inter-service communication tuning
Cost Optimisation Strategy
  • Right-sizing cloud resources based on real usage
  • Reserved and spot instance strategies to reduce cost
  • Storage optimisation and data lifecycle management
Monitoring & Continuous Optimisation
  • Dashboards that correlate performance and cost
  • Automated alerts for degradation and spend spikes
  • Regular reviews with ongoing recommendations
Timeline
4–8 weeks
Delivery Model
Programme
The Outcome

Significantly reduce cloud costs while improving performance, and reinvest the savings in growth.

Ready to Get Started?
// Specialist practice

AWS Cloud Solutions

Open the AWS Cloud Solutions page
The Problem

Your AWS infrastructure may have design gaps, misconfigurations, and anti-patterns that create reliability, security, and cost risks.

The Challenge
  • Hidden design gaps and misconfigurations reduce system reliability
  • Underutilised and over-provisioned resources waste budget
  • IAM misconfigurations and unsecured data expose security risks
  • Single points of failure threaten business continuity
The Why

A comprehensive architecture review validates your AWS workloads against best practices, uncovers optimisation opportunities, and strengthens your security posture.

Why It Matters
  • Architecture quality directly impacts reliability and performance
  • Cost optimisation can reduce AWS bills by up to 40%
  • Security gaps create compliance and breach risks
  • Performance bottlenecks limit scalability and user experience
What You Get (Deliverables)
Architecture Quality Assessment
  • Identification of design gaps, anti-patterns, and misconfigurations
  • Validation against AWS Well-Architected Framework
  • Actionable recommendations for improvement
Cost Optimisation Analysis
  • Discovery of underutilised and over-provisioned resources
  • Reserved Instance, Savings Plans, and Spot Instance recommendations
  • Storage optimisation and data lifecycle strategies
Security & Compliance Review
  • IAM misconfiguration detection and remediation guidance
  • Encryption, least privilege, and auditing recommendations
  • Compliance alignment (GDPR, HIPAA, PCI DSS, ISO 27001)
Performance & Resilience
  • Bottleneck identification and scaling strategies
  • Auto-scaling, caching, and CDN optimisation guidance
  • High availability and disaster recovery improvements
Timeline
2–3 weeks
Engagement Model
Fixed scope
The Outcome

Clear roadmap to improve architecture quality, reduce costs by up to 40%, strengthen security posture, and enhance system resilience.

Ready to Get Started?
The Problem

Your AWS spend is out of control with wasteful resources, poor visibility, and no proactive budget management.

The Challenge
  • Idle, oversized, or orphaned resources drain budget
  • No real-time visibility into spend by service or team
  • Lack of tagging strategy prevents cost attribution
  • Surprise bills and unplanned scaling costs
The Why

Cost optimisation eliminates waste, right-sizes infrastructure, and establishes governance for long-term financial health.

Why It Matters
  • Typical savings of up to 40% on monthly AWS bills
  • Right-sized infrastructure improves performance and reduces waste
  • Budget visibility enables proactive financial management
  • Governance and accountability prevent future overruns
What You Get (Deliverables)
Cost Analysis & Savings Opportunities
  • Identification of idle, oversized, and orphaned resources
  • Right-sizing recommendations based on actual usage
  • Reserved Instance and Savings Plans optimisation
Budget Control & Governance
  • Real-time spend visibility by service, account, and team
  • Budget alerts and forecasting setup
  • Resource tagging strategy for cost attribution
Pricing Model Optimisation
  • Tailored recommendations for Reserved, Spot, and On-Demand instances
  • Chargeback and showback models for accountability
  • Cost allocation and reporting frameworks
  • Long-term cost optimisation roadmap
Timeline
2–3 weeks
Engagement Model
Fixed scope
The Outcome

Significant cost savings (typically up to 40%), improved budget control, and a foundation for ongoing FinOps practices.

Ready to Get Started?
The Problem

Security misconfigurations, IAM risks, and compliance gaps expose your business to breaches and regulatory penalties.

The Challenge
  • Misconfigurations and vulnerabilities create breach risks
  • Complex compliance requirements (GDPR, HIPAA, PCI, ISO 27001)
  • Lack of visibility into security posture across accounts
  • Manual security processes don't scale
The Why

A comprehensive security assessment identifies risks, strengthens controls, and prepares you for audits with AWS-native tools.

Why It Matters
  • Data breaches damage reputation and create financial liability
  • Compliance readiness is essential for regulated industries
  • Proactive security reduces incident response costs
  • AWS Security Pillar alignment improves long-term posture
What You Get (Deliverables)
Security Posture Review
  • Identification of misconfigurations, vulnerabilities, and IAM risks
  • Data protection assessment using KMS, IAM, and GuardDuty
  • Prioritised risk register with mitigation roadmap
Compliance Readiness
  • Gap analysis against CIS, GDPR, HIPAA, PCI DSS, ISO 27001
  • Compliance report with actionable remediation steps
  • Audit preparation and documentation support
Governance & Best Practices
  • Least privilege and role-based access guidance
  • Account structure, tagging, and logging improvements
  • AWS Well-Architected Security Pillar alignment
Security Tool Optimisation
  • Security Hub, CloudTrail, Config, Macie setup
  • Automated detection, alerting, and reporting
  • Incident response and remediation automation
Timeline
2–4 weeks
Engagement Model
Fixed scope
The Outcome

Strengthened security posture, compliance readiness, clear risk visibility, and actionable remediation roadmap delivered by AWS-certified specialists.

Ready to Get Started?
The Problem

You want to migrate to AWS but lack a clear roadmap, cost visibility, and confidence in addressing technical and operational risks.

The Challenge
  • Uncertainty about which workloads to migrate and when
  • No Total Cost of Ownership (TCO) analysis or ROI visibility
  • Technical dependencies and data protection needs unclear
  • Security and compliance gaps not identified upfront
The Why

A structured migration readiness assessment provides a clear roadmap, TCO analysis, and risk mitigation strategy aligned with business goals.

Why It Matters
  • Clear roadmap eliminates uncertainty and builds stakeholder confidence
  • TCO analysis prevents overspending and validates ROI
  • Risk identification reduces downtime and rework
  • Accelerated time-to-cloud with prioritised migration waves
What You Get (Deliverables)
Migration Readiness Assessment
  • Application portfolio analysis and 6R strategy (Rehost, Replatform, etc.)
  • Technical, operational, and security risk identification
  • Dependency mapping and data protection requirements
Migration Roadmap & Planning
  • Prioritised migration wave plan with high-impact workloads first
  • Total Cost of Ownership analysis and ROI projections
  • Right-sized AWS architecture recommendations
Security & Compliance Planning
  • Security and identity gap assessment
  • Compliance adherence planning (GDPR, HIPAA, ISO 27001)
  • Cloud security guardrails and governance framework
Team Enablement
  • Skills gap analysis and training recommendations
  • IT, DevOps, and business team preparation
  • AWS Cloud Adoption Framework (CAF) guidance
Timeline
4–8 weeks
Engagement Model
Programme
The Outcome

Clear migration roadmap with TCO visibility, reduced technical risk, accelerated time-to-cloud, and qualification support for AWS Migration Acceleration Program (MAP) funding.

Ready to Get Started?
The Problem

Legacy applications slow innovation, increase costs, and limit your ability to scale and deliver modern customer experiences.

The Challenge
  • Legacy apps can't leverage cloud-native services
  • Manual processes slow feature delivery
  • Cost inefficiencies from outdated architectures
  • Security and compliance gaps in older systems
The Why

Modernisation unlocks faster delivery, cost savings, improved security, and scalability through cloud-native architectures.

Why It Matters
  • Modern architectures accelerate feature delivery and innovation
  • Cloud-native services reduce infrastructure overhead and costs
  • Improved security and compliance with AWS-native tools
  • Auto-scaling and resilience support business growth
What You Get (Deliverables)
Application Portfolio Analysis
  • Assessment of which applications to modernise, retire, or retain
  • Business impact and technical readiness evaluation
  • Prioritisation based on value and feasibility
Modernisation Roadmap
  • Step-by-step migration and modernisation plan
  • Microservices, serverless, and container strategies
  • DevOps and CI/CD adoption guidance
Cost & Performance Optimisation
  • Identification of cost inefficiencies in legacy apps
  • Pay-as-you-go and auto-scaling model recommendations
  • Performance and scalability improvements
Security & Operational Excellence
  • Security practice updates with IAM, KMS, AWS Shield
  • Infrastructure automation and monitoring setup
  • AWS Well-Architected best practices alignment
Timeline
3–5 weeks
Engagement Model
Fixed scope
The Outcome

Data-driven modernisation roadmap that accelerates innovation, reduces costs, improves security, and ensures long-term scalability.

Ready to Get Started?
// Specialist practice

Cross-Cutting Services

Open the Cross-Cutting Services page
The Problem

Threats evolve faster than you can respond. Without regular assessments, vulnerabilities pile up, compliance gaps widen, and breach risk skyrockets.

The Challenge
  • Vulnerabilities stay hidden until attackers exploit them
  • Compliance requirements change faster than you adapt
  • You lack visibility into your real security posture
  • Legacy systems expand your attack surface
  • Security tools generate noise without clear insight
The Why

Security isn't a destination – it's an ongoing discipline. This healthcheck gives you a clear view of your posture and a prioritised plan to reduce risk while staying agile.

Why It Matters
  • Cyber attacks can be costly in recovery, fines, and lost trust
  • Compliance failures trigger penalties and lost business
  • Breaches destroy customer confidence and advantage
  • Proactive security is far cheaper than incident response
What You Get (Deliverables)
Security Posture Assessment
  • Comprehensive vulnerability scanning and penetration testing
  • Identity and access management (IAM) review with actions
  • Network security and segmentation analysis
Compliance & Governance Review
  • Gap analysis vs ISO 27001, GDPR, SOC 2
  • Policy documentation and governance assessment
  • Audit trail and logging capability evaluation
Risk Prioritisation Matrix
  • Critical vulnerabilities ranked by impact and exploitability
  • Quick wins you can deliver quickly
  • A long-term roadmap with investment requirements
Actionable Remediation Plan
  • A step-by-step remediation guide with tech specs
  • Resource requirements and timeline estimates
  • An executive summary with risk-based recommendations
Timeline
2 weeks
Engagement Model
Fixed scope
The Outcome

Meaningfully reduce your attack surface and prioritise fixes that protect revenue and reputation.

Ready to Get Started?

Know Exactly What the Technology Is Worth Before You Sign.

In every deal, technology is where value is won or lost. Ageing core systems, key-person risk and hidden modernisation costs can sink a valuation – or blow up an investment thesis – long after the deal has closed.

What It Is

A focused, four-week diligence engagement for investors, acquirers and owners preparing to sell. On the buy side we surface the risks and model what it truly costs to modernise. On the sell side we find the issues a buyer will exploit and fix them before you go to market. It is built on the same framework our senior team has used to run technology diligence across some of the sector's largest transactions.

Not sure you need it yet? Start with the free Deal-Ready Technology Red Flags checklist – the eight findings a diligence team is trained to look for, with self-checks you can run this week.

Why It Matters
  • Hidden technical debt and modernisation costs can crush the return
  • Key-person risk and team capability gaps surface after completion, when it is too late
  • Security and compliance issues create liability that transfers with the deal
  • Sellers who go to market unprepared hand the buyer the negotiating leverage
What You Get (Deliverables)
A Board-Ready Verdict
  • Technology value, risk, and how easily it can be replicated
  • Key-person risk and team capability assessment
  • Written for the investment committee, not the engine room
Architecture, Code & Security Review
  • Codebase analysis and technical debt assessment
  • Architecture review for scale, security, and maintainability
  • Vulnerability, dependency, and data protection risk analysis
Modernisation Cost & Timeline
  • The true cost to modernise, modelled up front – no post-deal surprises
  • Integration complexity and delivery timeline estimates
  • An AI-readiness lens on every review: where you are today, and where AI takes the asset next
Buy-Side & Sell-Side Value Protection
  • Buyers: protect the thesis with the risks priced in before signature
  • Sellers: find and fix what a buyer will exploit, before you go to market
  • Fast and repeatable – in, reviewed, reported, decision made
Timeline
4 weeks
Engagement Model
Fixed scope
The Outcome

In, reviewed, reported in four weeks – then you decide with your eyes wide open. Sellers protect the valuation. Buyers protect the thesis.

Ready to Get Started?
The Problem

You're juggling multiple regulations and standards while trying to stay agile, so compliance turns into a brake instead of an advantage.

The Challenge
  • Overlapping requirements create complexity and confusion
  • Compliance processes slow operations and innovation
  • Manual tracking is error-prone and resource-intensive
  • No integrated governance leads to gaps and inefficiency
  • Teams treat compliance as overhead, not value
The Why

Embed controls into how you work so compliance speeds decisions, reduces risk, and becomes a competitive edge.

Why It Matters
  • Integrated compliance enables faster operations and delivery
  • Proactive governance prevents costly violations
  • Automation cuts effort and reduces human error
  • Strong governance builds customer and investor trust
What You Get (Deliverables)
Regulatory Landscape Analysis
  • A complete map of applicable regulations and standards
  • Impact analysis and requirement prioritisation
  • Regulatory change monitoring with alerts
Governance Framework Design
  • An integrated governance model across functions
  • Policies and automated workflows
  • Role-based access controls and approvals
Compliance Automation Implementation
  • Automated monitoring and reporting
  • Evidence collection and audit-trail automation
  • Exception handling and escalation workflows
Training & Change Management
  • Organisation-wide governance training and certification
  • Change support for adoption
  • Continuous improvement and maturity programs
Timeline
12–16 weeks
Engagement Model
Programme
The Outcome

Turn compliance into an advantage. Reduce overhead while improving control effectiveness and agility.

Ready to Get Started?
The Problem

Dev and Ops work in silos, creating bottlenecks, quality issues, and slow releases that stop you responding quickly to customers and competitors.

The Challenge
  • Manual deployments create bottlenecks
  • Inconsistent quality gates cause production issues
  • Isolated teams create handoffs and delays
  • Incident response is reactive rather than proactive
  • Tech choices aren't tied to business outcomes
The Why

DevOps breaks silos, automates delivery, and creates shared responsibility so you ship fast and reliably.

Why It Matters
  • Faster deployments unlock market opportunities
  • Automated quality gates reduce incidents and impact
  • Collaboration delivers better solutions with fewer defects
  • Proactive monitoring prevents customer-facing issues
What You Get (Deliverables)
Current State Assessment & Strategy
  • A DevOps maturity assessment across people, process, and tech
  • Analysis of cultural and organisational change needs
  • A target state definition and transformation roadmap
CI/CD Pipeline Implementation
  • Automated build, test, and deployment pipelines
  • Quality gates with automated testing
  • Infrastructure as code and environment management
Monitoring & Observability
  • Application performance monitoring and alerting
  • Log aggregation and analysis for proactive detection
  • Business metrics wired to outcomes
Team Transformation & Training
  • Cross-functional team structure and roles
  • Toolchain training and certification
  • Change management and continuous improvement practices
Timeline
8–12 weeks
Engagement Model
Programme
The Outcome

Achieve markedly higher deployment frequency with fewer production incidents so you can move at market speed.

Ready to Get Started?
The Problem

Remote and hybrid work expose gaps in productivity, collaboration, and tooling that stop your teams delivering value effectively.

The Challenge
  • Legacy collaboration tools don't support modern work patterns
  • Old security models weren't designed for distributed teams
  • You measure presence instead of outcomes
  • Knowledge is fragmented and hard to find
  • Tool complexity blocks effective collaboration
The Why

Design a digital workplace that enables productivity and collaboration anywhere – with security and outcomes built in.

Why It Matters
  • Modern work needs new tools and processes to stay productive
  • Distributed teams need better collaboration than office-only setups
  • Security and compliance must not slow productivity to a crawl
  • Knowledge management is critical when teams aren't co-located
What You Get (Deliverables)
Workplace Assessment & Strategy
  • Analysis of current tools and productivity
  • Mapping collaboration patterns and pain points
  • A future vision and technology roadmap
Collaboration Platform Implementation
  • Deployment of integrated communication and collaboration
  • Document management and knowledge sharing systems
  • Video conferencing and meeting optimisation
Security & Compliance Integration
  • Zero-trust security model for distributed access
  • Identity and access for cloud-based tools
  • Data protection and compliance controls for remote work
Productivity Measurement & Optimisation
  • Outcome-based productivity metrics and dashboards
  • Workflow automation and process optimisation
  • Continuous improvement from usage analytics and feedback
Timeline
10–14 weeks
Engagement Model
Programme
The Outcome

Increase team productivity and collaboration effectiveness while staying secure and compliant.

Ready to Get Started?
The Problem

Your legacy systems limit growth, raise costs, and increase security risk – but prioritising and funding modernisation remains hard.

The Challenge
  • Legacy systems constrain your agility and innovation
  • Maintenance costs rise while reliability drops
  • Security vulnerabilities in old systems increase risk
  • Integration with modern systems gets harder over time
  • Skills for legacy tech are scarce and expensive
The Why

Get a clear, low-risk roadmap that turns technical debt into capability while you keep operations running.

Why It Matters
  • Legacy limits your growth and responsiveness
  • Modernisation unlocks new capabilities and models
  • Proactive modernisation beats emergency replacement
  • Modern systems are more secure, reliable, and maintainable
What You Get (Deliverables)
Legacy Estate Assessment
  • A full inventory and dependency map of legacy systems
  • Technical debt analysis and risk assessment
  • Business value and criticality evaluation
Modernisation Strategy & Options Analysis
  • Options across re-host, re-factor, re-build, re-platform, replace
  • Target architecture and platform recommendations
  • A business case with ROI and risk mitigation
Migration Planning & Sequencing
  • A phased roadmap with dependency management
  • Risk mitigation strategies and rollback planning
  • Resource requirements and timeline estimates
Executive Briefing & Decision Support
  • An executive summary with strategic recommendations
  • Investment cases and funding requirements
  • A decision framework to prioritise initiatives
Timeline
4–6 weeks
Engagement Model
Fixed scope
The Outcome

Turn legacy debt into advantage with a roadmap that reduces cost and enables new business capability.

Ready to Get Started?
The Problem

System failures, cyber attacks, or disasters can crush revenue and reputation if you don't plan and practise recovery.

The Challenge
  • Your recovery plans are outdated, untested, and not aligned to current systems
  • RTOs/RPOs don't match business requirements
  • Backup and recovery processes are inconsistent and unreliable
  • Communication plans break down during real incidents
  • Teams lack training and experience with recovery
The Why

With strong continuity planning, potential business-ending events become manageable incidents with minimal impact on operations and customers.

Why It Matters
  • Disruptions destroy customer relationships and position
  • Critical downtime can be extremely costly
  • Regulators mandate specific recovery capabilities
  • Effective continuity planning becomes a competitive advantage
What You Get (Deliverables)
Business Impact Analysis
  • Identify critical processes and dependencies
  • Define recovery time and point objectives
  • Assess financial impact across scenarios
Continuity Strategy Development
  • A comprehensive business continuity plan
  • Disaster recovery procedures and automated failover
  • Clear communication and coordination protocols
Technical Implementation
  • Backup and recovery implementation and testing
  • Alternative site setup and data replication
  • Recovery automation and orchestration tools
Testing & Training Program
  • Regular plan testing and validation
  • Staff training and incident exercises
  • Continuous improvement based on test results
Timeline
8–12 weeks
Engagement Model
Programme
The Outcome

Reduce disruption impact and achieve rapid recovery to protect revenue and customer confidence.

Ready to Get Started?
// Specialist practice

Sector Accelerators

Open the Sector Accelerators page
The Problem

You face complex, changing regulations that soak up resources and create operational risk. Manual reporting causes errors, delays, and compliance failures.

The Challenge
  • Requirements change frequently with complex timelines
  • Manual reporting is error-prone and resource-intensive
  • Data quality issues compromise accuracy and compliance
  • Legacy systems can't adapt quickly to new demands
  • Compliance teams spend time on manual tasks over analysis
The Why

Treat regulatory reporting as an efficiency advantage. Automate and optimise to meet requirements reliably and free your team for strategic work.

Why It Matters
  • Failures lead to fines, restrictions, and reputation damage
  • Manual processes don't scale with growth or complexity
  • Automation delivers faster, more accurate compliance
  • Efficient compliance frees resources for revenue activities
What You Get (Deliverables)
Regulatory Framework Assessment
  • Current-state analysis of reporting processes and data flows
  • Gap analysis vs Basel III, IFRS, and Solvency II
  • Risk assessment and compliance vulnerability identification
Accelerator Template Implementation
  • Pre-built templates and workflows for key reports
  • Automated data validation and quality assurance
  • Integration with your existing systems and sources
Process Automation
  • Automated data collection, transformation, and validation
  • Exception handling and escalation workflows
  • Audit trails and documentation for regulator review
Training & Knowledge Transfer
  • Team training on new processes and tools
  • Documentation and runbooks for ongoing maintenance
  • Change management support for adoption
Timeline
4–6 weeks
Engagement Model
Fixed scope
The Outcome

Shorten reporting cycles and improve accuracy and compliance, avoiding penalties and freeing finance for strategic analysis.

Ready to Get Started?

Modernise the Bank Without Betting the Bank.

Your customers feel it daily. Onboarding that drags, payments that feel clunky, loan decisions that take weeks when the client needs an answer today. Underneath sits a core platform built decades ago that nobody wants to touch.

What It Is

For banks, FinTechs and financial services leaders. We have built new digital banks from a blank sheet and modernised tier-one estates. We start with a capability review that pinpoints where technology is costing you customers and revenue, then we build the fix – rapid onboarding and identity, real-time credit decisioning and digitised trade finance, wrapped cleanly around your existing core.

Want the 15-minute version of the question first? The free Future Readiness Audit asks the estate questions a capability review formalises, and the Downtime Defence Audit covers the operational resilience regulators keep raising.

Why It Matters
  • Slow onboarding and clunky journeys quietly lose customers every day
  • Credit decisions that take weeks hand business to faster competitors
  • Ripping out the core is a bet-the-bank move – wrapping it is not
  • New propositions can launch in months with the right patterns, not years
What You Get (Deliverables)
Banking Capability Review
  • A clear view of where clunky technology is losing you customers and revenue
  • Priorities ranked by commercial impact, not architectural tidiness
  • An AI-readiness lens on the estate as standard
Rapid Onboarding & Identity
  • Onboarding in minutes, with identity and KYC flows digitised
  • Wrapped cleanly around your existing core – no rip and replace
  • Mountains of paperwork digitised away
Real-Time Decisioning & Trade Finance
  • Credit decisions in hours, not weeks
  • Digitised trade finance journeys end to end
  • Governance and auditability built in for regulated environments
Proven Modernisation Patterns
  • Patterns to launch a new proposition in months, not years
  • Blank-sheet digital bank build experience applied to your estate
  • Senior people who have done exactly this at some of the largest banks in the world
Timeline
Capability review first
Engagement Model
Review, then build
The Outcome

We have built the bank from a blank sheet. Modernising yours is the easy part.

Ready to Get Started?
The Problem

Your patient data is fragmented across systems, blocking coordinated care, creating compliance risk, and limiting outcome improvement.

The Challenge
  • Patient data is siloed across incompatible systems
  • Manual reconciliation is slow and error-prone
  • HIPAA and privacy requirements complicate sharing
  • Clinicians lack complete context to make decisions
  • Quality reporting and outcomes are fragmented and late
The Why

An integrated patient data platform enables coordinated care, better outcomes, and efficient operations – with strict compliance by design.

Why It Matters
  • Fragmented data contributes to errors and poorer outcomes
  • Coordinated care needs complete, timely information
  • Value-based models depend on comprehensive analytics
  • Compliance requires full audit trails and governance
What You Get (Deliverables)
Data Architecture & Integration Design
  • A healthcare data model with HL7 FHIR compliance
  • Integration for EHR, lab, imaging, and pharmacy systems
  • A master patient index and data quality framework
Platform Implementation
  • Real-time data integration and synchronisation
  • A clinical data warehouse with analytics and reporting
  • APIs for secure access and third-party integration
Compliance & Security Framework
  • HIPAA-compliant governance and access controls
  • Audit logging for regulatory needs
  • Encryption and privacy protection
Analytics & Reporting Suite
  • Clinician dashboards for care coordination
  • Population health analytics and outcomes
  • Automated quality reporting
Timeline
16–20 weeks
Engagement Model
Programme
The Outcome

Improve patient outcomes and reduce clinical errors with integrated, timely patient data.

Ready to Get Started?
The Problem

You can't see customer behaviour across channels, so you miss chances to personalise, build loyalty, and optimise revenue.

The Challenge
  • Interactions are tracked in separate systems across channels
  • Personalisation is limited by incomplete customer profiles
  • Marketing can't leverage real-time behaviour
  • Inventory and demand planning lack customer insight
  • Service teams don't have full interaction history
The Why

Unify customer data across touchpoints to power personalisation, targeted marketing, and operational optimisation that grows revenue.

Why It Matters
  • Personalised experiences can raise lifetime value
  • Real-time insights enable dynamic pricing and inventory
  • Integrated data improves marketing ROI and lowers CAC
  • Unified service improves satisfaction and retention
What You Get (Deliverables)
Customer Data Platform Implementation
  • Unified customer profiles across all touchpoints
  • Real-time ingestion from web, mobile, in-store, and call centre
  • Customer journey mapping and behaviour analytics
Personalisation Engine Development
  • AI-powered recommendations for products and content
  • Dynamic pricing optimisation by behaviour
  • Automated, personalised campaign orchestration
Omnichannel Experience Platform
  • Consistent experiences across web, mobile, and in-store
  • Inventory visibility and fulfilment optimisation
  • Customer service with full interaction history
Analytics & Insights Dashboard
  • Customer lifetime value and churn prediction
  • Real-time BI and performance dashboards
  • A/B testing for experience optimisation
Timeline
14–18 weeks
Engagement Model
Programme
The Outcome

Increase customer lifetime value and marketing ROI with unified insights and personalisation.

Ready to Get Started?

Stop Your Promotions From Eating Your Profit.

Most retailers are hooked on promotions. The volume looks healthy, but a large share of that activity cannibalises your most profitable lines, quietly handing back margin every single week. The same blind spots run through ranging, pricing and space.

What It Is

For retail CEOs, commercial and trading directors. A short, sharp data diagnostic across the four commercial pillars – ranging, promotions, pricing and space. We prove in hard numbers where you are losing money, then help you choose and implement the right AI-driven solution. Build, buy or blend, with no product of our own to push.

Want a first read on the promotions pillar right now? Run your own numbers through the free Promotion Margin Leak Calculator – four inputs, an honest annual leak range, no form required.

Why It Matters
  • Promotional volume that looks healthy can be cannibalising your most profitable lines
  • Margin leaks weekly through ranging, pricing and space decisions made on instinct
  • Vendors selling a product will always recommend their product – independence matters
  • The customer data you already own is an unworked revenue asset
What You Get (Deliverables)
The Four-Pillar Diagnostic
  • Ranging, promotions, pricing and space analysed in hard numbers
  • A clear, evidenced picture of where promotions and ranging are destroying margin
  • Cannibalisation of profitable lines exposed, week by week
Genuinely Independent Advice
  • Build, buy or blend – we recommend what fits you, not what pays us
  • No product of our own to push
  • Vendor selection support where buying is the right answer
A Roadmap to a Working Solution
  • A practical, sequenced path from diagnosis to a working, AI-enabled solution
  • Delivery-led implementation, not a slide deck
  • Commercial capability your trading team keeps
New Revenue From Your Own Data
  • Revenue unlocked from the customer data you already own
  • Margin recovered from promotions, ranging, pricing and space
  • An AI-readiness lens on the commercial stack as standard
Timeline
Weeks, not quarters
Engagement Model
Diagnose, then deliver
The Outcome

Every week you wait, the promotions keep eating the margin. Let's go and find it.

Ready to Get Started?
The Problem

You lack real-time visibility into production, quality, and equipment health – leading to downtime, defects, and missed efficiency gains.

The Challenge
  • Production data lives in isolated systems without integration
  • Equipment failures are handled reactively
  • Quality issues are caught after production, not in real time
  • Planning lacks production visibility
  • Reporting is manual and delayed
The Why

Use real-time visibility and predictive analytics to make proactive decisions, reduce downtime, and optimise efficiency.

Why It Matters
  • Unplanned downtime can be extremely costly
  • Predictive maintenance reduces failures significantly
  • Real-time quality monitoring prevents defects and waste
  • Integrated data improves planning and inventory
What You Get (Deliverables)
Industrial IoT Platform Implementation
  • Sensors and data collection from production equipment
  • Real-time data ingestion and processing
  • OT/IT integration and connectivity
Predictive Analytics & AI
  • Maintenance models to prevent failures
  • Quality prediction and anomaly detection
  • Production optimisation and scheduling
Operations Dashboard & Visualisation
  • Real-time production monitoring and KPIs
  • Equipment health and maintenance scheduling
  • Quality control and deviation management
Integration & Automation
  • ERP and supply-chain system integration
  • Automated workflows and alerts
  • Mobile apps for field operations and maintenance
Timeline
12–16 weeks
Engagement Model
Programme
The Outcome

Reduce unplanned downtime and improve production efficiency with predictive, real-time intelligence.

Ready to Get Started?
The Problem

Citizens expect simple, accessible digital services, but legacy systems and siloed processes block delivery and satisfaction.

The Challenge
  • Legacy systems can't meet modern digital expectations
  • Service delivery is fragmented across departments
  • Accessibility and inclusion are hard to implement
  • Data sharing is limited by technical and policy barriers
  • Citizen identity and authentication are inconsistent
The Why

Build a digital services platform that's citizen-centric, accessible, and integrated across departments.

Why It Matters
  • Digital services improve satisfaction and efficiency
  • Integrated services reduce admin burden and wait times
  • Accessible services ensure equal access for all citizens
  • Modern platforms enable data-driven policy and improvement
What You Get (Deliverables)
Citizen Portal & Service Design
  • User-centred design with accessibility compliance
  • Multi-channel delivery (web, mobile, in-person, phone)
  • Citizen journey mapping and experience optimisation
Identity & Authentication Platform
  • Secure citizen identity and single sign-on
  • Multi-factor authentication and fraud prevention
  • Privacy-preserving data sharing between departments
Backend Integration & Modernisation
  • Legacy integration and API development
  • Workflow automation and case management
  • Document management and digital records
Analytics & Performance Management
  • Service performance and satisfaction measurement
  • Digital service analytics and reporting
  • Continuous improvement using citizen feedback
Timeline
18–24 weeks
Engagement Model
Programme
The Outcome

Improve citizen satisfaction and cut processing times with integrated, accessible digital services.

Ready to Get Started?
The Problem

You must integrate renewables, maintain grid stability, and engage customers – all while managing aging infrastructure and regulatory pressure.

The Challenge
  • Renewables create new stability and management challenges
  • Aging infrastructure needs modernisation for smart-grid capabilities
  • Engagement and demand response lack real-time data
  • Compliance and reporting are complex and evolving
  • Outage management is reactive rather than predictive
The Why

A smart grid platform helps you manage complexity, integrate renewables, and engage customers while keeping the grid stable and compliant.

Why It Matters
  • Grid modernisation is essential for renewable integration and climate goals
  • Smart grid tech enables demand response and efficiency
  • Real-time monitoring prevents outages and improves reliability
  • Customer engagement drives conservation and satisfaction
What You Get (Deliverables)
Smart Meter & IoT Integration
  • Advanced metering infrastructure (AMI) roll-out
  • Grid sensors and real-time monitoring
  • Demand response and load management automation
Grid Management & Analytics
  • Real-time grid monitoring and control
  • Predictive analytics for maintenance and failure prevention
  • Renewable forecasting and integration optimisation
Customer Engagement Platform
  • Customer portal with real-time usage and billing
  • Demand response programme management and incentives
  • Efficiency recommendations and programme enrolment
Regulatory Compliance & Reporting
  • Automated regulatory reporting and monitoring
  • Environmental impact and carbon footprint reporting
  • Rate case support and tariff management
Timeline
20–26 weeks
Engagement Model
Programme
The Outcome

Reduce grid outages and increase renewable capacity while improving satisfaction and compliance.

Ready to Get Started?

// Get in touch

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