Most enterprise AI stalls in open-ended "exploration." A pilot with a fixed arc and agreed acceptance criteria is how you ship something real — and decide with evidence.
Week 1 — Scope & KPIs
Pick one high-impact workflow. Write down the KPIs you will be judged on (e.g. time-to-quote, first-contact resolution, accuracy) and the target for each. Define what "done" looks like before any code.
Week 2 — Golden Set & Evals
Collect a "golden set" of real examples with known-correct outcomes. This is your ground truth. Build an evaluation harness that scores the system against it automatically — so progress is measured, not guessed.
Weeks 3–4 — Build, Read-Only
Build the system in read-only mode: it drafts and recommends, a human decides. Iterate against the golden set until the evals clear your targets. Keeping it read-only removes the biggest risk while you tune quality.
Week 5 — UAT With Real Users
Put it in front of the people who will actually use it. Capture where it helps, where it fails, and the exceptions. Fix the high-frequency failures; document the rest.
Week 6 — Security Gate & Acceptance Pack
Pass a security and governance gate (access, logging, data handling, rollback plan). Hand over the Acceptance Pack: UAT results, the evaluation report, operator runbooks, and training. The sponsor signs off on evidence.
What You Walk Away With
Either a system that hit its KPIs and is ready to expand — or an honest, early answer for a fraction of the cost of a year-long programme. See how LeenAI scopes pilots or start a conversation.
