Choose an AI agency by the quality of its decisions, evidence and ownership model—not by a polished demonstration or an unexplained fixed number.
Bring a real workflow to the first conversation
Ask the agency to explain the user need, current process, critical assumption and safest validation step in its own words. A strong partner will clarify before prescribing technology.
Compare proposals on the same dimensions
| Dimension | What a useful proposal states |
|---|---|
| Scope | Included workflow, users, interfaces and explicit exclusions |
| Evidence | Acceptance examples and the decision they support |
| AI | Why AI is needed, evaluation method and fallback |
| Data | Access, permissions, retention and ownership |
| Delivery | Responsibilities, review points and handover |
| Operations | Monitoring, incident response, model change and exit path |
Contract for clarity
The contract should connect payments to agreed deliverables and review points, assign intellectual-property and data rights explicitly, name third-party dependencies and define how scope changes are approved.
Watch for warning signs
- guaranteed outcomes before reviewing your data;
- no evaluation plan or human-review boundary;
- unclear ownership of code, accounts or prompts;
- technology selected before the workflow is understood;
- a demo presented as production evidence.
Turn the decision into a scoped plan
Bring the workflow, affected users, available data, constraints and desired outcome to a needs-assessment call. PilotProof will recommend a proportionate next step and prepare a proposal only after the scope and assumptions are clear.