It is in a business system nobody can report on, a shared drive nobody can search, and two people who have been here decades. We index it where it sits and let your staff ask it questions in plain English.
Ask this business something.
It has a business system and decades of drawings, quotes and job files. Pick a question below — the kind of thing someone actually asks on a Tuesday.
That is an invented company. Yours is real, messier, and already has the data.
They are built the same way and delivered by the same method. What differs is whose knowledge is buried — your knowledge workers’, or your development team’s.
Your business system and your files, in plain English, for people who do not write code.
Full AI context over the codebase, the architecture and the schema your team maintains.
Phase 1 is deliberately small. It exists so you can find out whether this works on something real before committing to anything larger. Three things usually follow.
Model providers ship new versions, retire old ones, and change behaviour and limits on a rolling basis. The engine is built to outlast any single model, but staying current is ongoing work. Left alone, an engine built today drifts out of compatibility as the landscape moves.
The first three to five people become the ones everyone else asks. Widening past them is a training and policy question more than a technical one, which is why the acceptable-use policy is a Phase 1 deliverable rather than an afterthought.
Answering questions is the floor, not the ceiling. Once the context exists, the same foundation is what makes real change — new screens, retired batch jobs, replaced subsystems — cheaper and less risky than it would have been cold.
None of it is committed up front. If Phase 1 does not earn the next step, it should not get one.
These are the ones that come up in almost every first conversation, including the last one.
Tell us what you run and what nobody can get answers out of. The first conversation is free.
