Fixed scope. Clear deliverables. Measurable outcomes.
Four structured services built from 20+ years of production deployments in regulated environments. No vague consultancy. No open-ended retainers without value. Everything we deliver is grounded in real engineering outcomes.
AI Platform & Governance Readiness Assessment
The right starting point. Always.
A structured deep-dive into your AI posture. We assess your cloud infrastructure, LLM deployment patterns, data exposure risk, token cost model, DevSecOps integration, and regulatory alignment. The result is an executive-ready report with a clear technical blueprint and a 90-day remediation roadmap.
Who it's for
Mid-sized regulated organisations exploring AI adoption, managing shadow AI proliferation, or facing board-level scrutiny on AI risk.
Deliverables
- AI usage risk map — full exposure assessment
- Cloud & infrastructure review (Azure, AWS, GCP)
- LLM deployment posture assessment
- Token cost modelling & spend forecasting
- Open-source vs managed model economics
- Regulatory gap analysis (UK AI Act, EU AI Act, GDPR, NIST AI RMF, UAE PDPL)
- Governance framework blueprint
- 90-day remediation roadmap
- Executive summary — board-ready
Complete clarity on your AI risk position, cost exposure, and the precise steps to resolve both.
Secure AI Platform Blueprint
Architecture that holds up in production.
A reference architecture for safe, production-grade LLM deployment across your cloud estate. Covers hybrid routing strategy, private model deployment, CI/CD model lifecycle design, access policy, logging, and monitoring. Built from our own patent-pending hybrid routing architecture.
Who it's for
Organisations ready to move AI from experimentation to production. Teams that have had security or compliance concerns block deployment.
Deliverables
- Multi-cloud reference architecture (Azure / AWS / GCP)
- LLM hybrid routing strategy — managed vs self-hosted economics
- Private model deployment design (AKS, EKS, GKE)
- CI/CD model lifecycle pipeline design
- Identity, access, and policy architecture
- AI logging, monitoring, and observability design
- GPU infrastructure sizing and break-even modelling
- Security posture: network segmentation, private endpoints, key management
- Implementation-ready architecture documentation (HLD + LLD)
A production-ready blueprint your engineering team can implement — without the costly trial and error.
AI Cost Optimisation Programme
Stop the token bill shock.
Most organisations running AI at scale are significantly overpaying. We have delivered a 93% infrastructure cost reduction in production. This programme applies our hybrid routing methodology to your AI estate — identifying where you can switch, what to self-host, and how to forecast spend with confidence.
Who it's for
Organisations with operational AI that have seen token costs grow faster than value delivered. Engineering and finance leaders who need defensible AI spend forecasts.
Deliverables
- Full AI spend audit — cloud tokens, API costs, GPU spend
- Hybrid routing strategy: which models, where, at what cost
- Open-source LLM evaluation for your use cases
- Self-hosted break-even modelling (GPU infrastructure ROI)
- AI spend forecasting model (12-month projection)
- Cost reduction roadmap with prioritised actions
- Vendor lock-in risk assessment
- Implementation guide for cost optimisation changes
A clear path to material cost reduction — based on our 93% production outcome, not theoretical projections.
AI Governance & Regulatory Advisory
Board-level confidence. Ongoing.
Regulatory pressure on AI is accelerating. The UK AI Act, EU AI Act, and UAE PDPL create real compliance obligations — and the boardroom is asking questions that most technical teams can't yet answer. We provide an ongoing advisory relationship that keeps your AI programme aligned, defensible, and audit-ready.
Who it's for
Regulated organisations building or operating AI systems where compliance, legal, or risk teams are engaged — or should be.
Deliverables
- Ongoing UK AI Act & EU AI Act alignment review
- Data residency and sovereignty assessment
- Model transparency and explainability framework
- Hallucination risk mitigation (97% detection accuracy framework)
- AI vendor lock-in and IP exposure assessment
- Audit trail design and compliance documentation
- Board and executive AI briefings
- Regulatory change monitoring and impact assessment
- Monthly advisory calls and written guidance
A defensible AI governance position — with an independent expert who can speak to boards, regulators, and legal teams.
Our advisory is backed by proprietary IP
Unlike strategy-only firms, our recommendations are grounded in patent-pending innovations and production outcomes — not theoretical frameworks or vendor whitepapers.
- ✓Multi-Model AI Routing Architecture (Patent-Pending, 2024)
- ✓Token-Grounded Zero-Hallucination Extraction (Patent-Pending, 2024)
- ✓Open-Source LLM Security Scanning Framework (Industry First, 2024)
Not sure where to start?
Most clients begin with the AI Readiness Assessment. It surfaces the issues you don't yet know you have — and the ones you do — in a format your board can act on.
Book a Discovery Call30 minutes. No obligation. UK & UAE availability.