AI Integration Strategy
Strategic plan for integrating AI / LLM / agent capabilities into your product, responsibly.
4 weeks
Who this is for
Mid-market companies wanting AI without making the classic mistakes (RAG-when-you-needed-fine-tune, fine-tune-when-you-needed-RAG, ungoverned agents).
When you need it
'We need to do AI' has graduated into 'we need to do AI responsibly and competitively' - and you can feel that the in-house team alone can't navigate this safely.
What's delivered
- AI capability roadmap - what's worth doing, in what order, and what's deliberately not pursued yet
- Architecture for LLM/RAG/agent integration into the existing product
- Vendor analysis: OpenAI vs Anthropic vs open-source vs gateway routing
- Eval framework - how to measure that the AI is doing what it claims to do
- Trust & governance scaffolding - agent authorisation, audit trails, human-in-the-loop boundaries (WARRANT-aligned)
- Cost / latency analysis with budgets per workflow stage
- EU AI Act and NIST AI RMF alignment notes
Why this consultant
Co-author of the WARRANT Standard - the open specification for autonomous agent authorisation. Design informed by frontier work currently being defined.
or ask the AI matchmaker - it names the price.
Fixed price, fixed scope. Every engagement carries the four guarantees: Sprint 1 Escape Hatch, Board-Ready Quality, Three-Client Cap, Skin-in-the-Game Pledge.