Decades of expertise locked in SOPs, reports, submissions and inboxes, searchable by nobody, useful to no one at the moment of decision. Generic AI tools that know everything about the internet and nothing about your business. And vendors who implement technology without understanding your regulatory environment or commercial objective
What we do
We build practical AI into the workflows where it earns its keep: Claude for document analysis and structured output, Microsoft Copilot across Microsoft 365, RAG architecture that queries your own knowledge base, AI agents built on LangChain and AutoGen, and governance tooling with full audit trails, all designed to be operated and expanded by your own team
Why this is different
The standard we hold
Platform-agnostic by principle: the use case selects the tool. We hold no reseller incentives to pick otherwise
Audit trails and human-in-the-loop controls are part of the build, not an add-on, architecture a regulator could inspect
Everything is built for handover. Systems your team can operate, maintain and extend without calling us
Outcomes you can expect
What you walk away with
Your proprietary knowledge becomes queryable.
AI deployed with governance from day one
Systems your own team can operate and expand
Challenge
Twice failed to enter Japan.
What we did
We changed the basis of the decision from assumption to evidence
Confirmed outcome
Refocused on two named accounts, capital protected.