AI implementation agencies and consultancies
Agencies that build AI for clients sit on an awkward line. The system is yours to design and theirs to operate, the data is almost always theirs, and the question of who is accountable when an output is wrong tends to surface only after it is. We work the project boundary: what the contract allocates, what the client has to own before go-live, and what a defensible handover package contains.
When this usually becomes urgent
Governance work rarely starts from a general wish to be responsible. It starts from an event with a date on it. These are the ones that bring this business to us.
- A client asked who is responsible for the agent's actions
- A build is about to go live with no handover governance
- Your contracts do not address model change or evaluation
- You want governance as a billable workstream in your proposals
Where this business usually starts
Not a bundle - three engagements that answer the triggers above, in the order they normally bite. Each is bought on its own, and the badge on every card says how much of the governance model that engagement actually covers rather than leaving you to guess.
AI implementation agencies and consultancies
Start with the trigger you already have.
Published ranges, a written scope with its exclusions named, and an honest view of whether the engagement is worth buying at all. Scoping the problem costs nothing.