Pick the engagement that fits
Advisory, leadership or hands-on delivery — or a blend. Every engagement is scoped to a concrete outcome.
AI & LLM automation
Practical AI that removes manual effort — LLM and Copilot integration, natural-language querying, and Python automation that ships, not slideware.
- LLM / Copilot integration & natural-language querying
- Python automation — up to 95% less manual effort
- Document, workflow & back-office automation
Governed AI & agents
AI agents that do real work, with the governance to trust them — proposal-and-approval flows, authority limits, and a tamper-evident audit trail.
- Specialist agents for real tasks (AgentFlowMe)
- Independent authorisation layer (Agent Shield)
- Human-in-the-loop approval, fails safe by default
AI strategy & roadmaps
Costed AI adoption roadmaps that tie investment to outcomes — and a clear 'not yet' where AI doesn't pay its way. Explained in the boardroom's language.
- AI opportunity assessment & prioritisation
- Adoption roadmaps, future-proofed
- Governance, risk & controls
Data platforms for AI
The trustworthy data foundation AI depends on — modelled, governed and scalable, from warehouse to real-time feed.
- Warehousing on Fabric, Synapse & Dataverse
- Semantic models · RLS/OLS governance
- Data made ready for AI, not just dashboards
Custom AI software & products
Full-stack engineering: I build and ship production AI applications and governed platforms — deployed, adopted and supported.
- Custom AI apps (Python, Next.js)
- Governed-AI platforms & tooling
- Built, deployed and supported with adoption baked in
AI enablement & assurance
Visibility and confidence across your AI — what agents are doing, what was decided or held, and the value delivered, with training so it lasts.
- Assurance across the AI estate (AISight)
- Data-literacy & AI enablement training
- Ways of working that outlast the engagement