AI product companies
Selling AI rather than merely using it changes the questions. Buyers want to know what the system does when it is wrong, what it was evaluated against, and what a human sees before an output reaches them. Some regimes may also treat you as a provider rather than a deployer, which carries a different set of obligations. We map the role, work through the failure modes, and set the disclosures and release controls around a specific feature.
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 launch date for a customer-facing AI feature
- A buyer asked what happens when the model gets it wrong
- You are unsure whether you are a provider or a deployer
- An agent in your product can take actions outside a chat window
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 product companies
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.