AI transformation. Production-grade. Measurable ROI.
Every engagement starts with a clear problem and ends with shipped systems.
Fractional CTO
Senior technical leadership embedded in your business — without the full-time hire.
- →Set technical direction and architecture standards
- →Hire, mentor, and structure engineering teams
- →Bridge the gap between engineering and the board
- →Typical engagement: 1-2 days/week, 3-6 month minimum
AI Strategy & Adoption
Move AI from boardroom slides to production systems that deliver measurable ROI.
- →AI readiness assessment and opportunity mapping
- →Pilot design, validation, and scaling
- →Build vs buy evaluation for AI/ML tooling
- →Team upskilling and AI-native workflow design
Cloud Cost Optimisation
Most scale-ups overspend 30–50% on cloud without realising it. Oversized instances, idle dev environments, on-demand pricing for predictable workloads, and architectural inefficiencies add up fast. I bring a structured FinOps methodology — Discover, Analyse, Optimise, Govern — to find the waste, fix it without touching performance, and build lasting governance so costs stay controlled as you scale.
- →Full cloud estate audit covering AWS, Azure, and GCP
- →FinOps framework implementation tailored to your organisation size
- →Reserved instance and savings plan optimisation across all accounts
- →Ongoing cost governance, alerting, and monthly review cadence
- →Team-level cost allocation so engineering owns what they spend
- →Architectural recommendations for long-term cost efficiency
M&A Technology Integration
When you acquire a company, you inherit its tech debt, its architecture decisions, its vendor contracts, and its engineering culture. I help PE portfolios and scale-ups navigate the full technology integration lifecycle — from pre-deal due diligence that surfaces hidden risks, through a structured 100-day playbook that stabilises, integrates, optimises, and governs the combined estate.
- →Pre-acquisition technical due diligence report with risk-adjusted valuation input
- →Post-merger platform consolidation plan with timeline and resource requirements
- →Team integration and retention strategy — roles mapped, knowledge transferred, attrition minimised
- →Structured 100-day integration playbook tailored to the deal
- →Technology risk register with ongoing tracking and mitigation
- →Vendor contract review and consolidation recommendations
- →Security posture alignment across the combined entity
AI Governance & Compliance
Practical governance frameworks that satisfy regulators without paralysing engineering.
- →EU AI Act compliance mapping
- →GDPR data processing for AI systems
- →HealthTech: DTAC, MHRA, UKCA frameworks
- →Responsible AI policy and audit processes
AI-Native Engineering
Build AI features that stay in production — with eval harnesses, observability, and deployment pipelines built in from day one.
- →Evaluation harness design and golden dataset curation
- →LLM observability: prompt versions, cost, latency, outcomes
- →AI-safe CI/CD: staged rollouts, shadow scoring, rollback triggers
- →Model-agnostic architecture for OpenAI, Anthropic, Mistral, and open-source
How we work together
Advisory Sprint
Audit, strategy, roadmap delivery.
Best for: specific problem (cloud costs, AI readiness, due diligence)
Book a CallFractional CTO
Embedded leadership, attending standups and board meetings.
Best for: scale-ups without a senior tech leader
Book a CallInterim Leadership
CTO or VP Engineering coverage for leadership transitions.
Best for: leadership transitions, pre/post acquisition
Book a CallNot sure which service fits?
Book a call. We will tell you honestly if we can help — and what to do if we cannot.
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