What a 30-day controlled pilot should actually prove
A controlled pilot is not there to prove that a model can answer prompts. It is there to prove that one real workflow can be governed with policy, approvals, document handling, and evidence in a way that makes a broader rollout defensible.
The wrong goal
The wrong goal is to prove that AI is interesting, fast, or generally useful. That answer is already obvious to most teams and does not resolve the governance question.
The right goal
The right goal is to prove that one real workflow can be controlled end to end: intake, policy evaluation, document handling, approval logic, evidence creation, and buyer-readable outcome.
What the pilot should prove
- The workflow is mapped clearly enough to define policy boundaries.
- Risky requests and documents follow an explicit approval path.
- Document intake does not bypass the governance layer.
- Evidence outputs are usable in review, procurement, or partner reporting.
- The operating model is narrow enough to expand rationally after the pilot.
The buyer outcome
A successful pilot gives the buyer a credible answer to five questions: what PalmerAI is, what it controls, where approvals happen, what evidence remains, and what the next commercial step should be.
What failure looks like
A weak pilot proves model capability but leaves governance vague. It has no clear document boundary, no disciplined approval logic, and no evidence artifact that helps procurement or assurance.
Next step
If you need a pilot to do more than impress a user, start with a posture review and define one governed workflow well enough to create a real evidence path.