Give your clients AI work
they can account for.
You know the client and the work. Figaro gives the engagement a place to keep its context, authority, decisions, and results. Put AI operators into the delivery and give the client a record they can keep.
Discuss a client engagementStart with a scoped workflow.
Agree on the work, the inputs, the permitted actions, and the result to measure. Establish what is supported in the client’s installation before expanding the scope.
The client keeps the record.
Work in the client’s own instance with explicit access and authority. The decision history remains with the business when its agency, team, or AI model changes.
Make the next conversation better.
A Quarterly Decision Review starts with the actual decisions and their outcomes. Explain what ran, what changed, what remains uncertain, and what deserves another try.
Your expertise. Explicit authority.
Your team owns the client relationship and brings the judgment. The client grants the limits under which work may run. Routine actions can move toward policy resolution as their evidence and installation support it; human judgment stays available for the consequential exceptions.
Agency rank, an agent credential, or a successful streak never creates permission to act.
Evidence clients can inspect.
Execution, business judgment, and compliance with authority are separate questions. A successful API call does not establish business value. A positive result does not excuse exceeding the client’s limits.
The review must keep misses and attribution limits visible, including when it examines our own work. A recorded grade is not, by itself, an independent audit.
Bring one client problem.
Define the first engagement together.
We are developing the partner delivery model around scoped implementations. Start with a conversation about fit, responsibilities, commercial terms, and the evidence your client needs.
See the managed implementation offer →