The pilot ends with a good presentation and an awkward question: did it pass? The sponsor likes the examples, the operator remembers the retries, and finance never received the cost of rejected work.

Write a short acceptance decision before running the pilot. It names the job, the population of work, the required output, the unacceptable outcomes, and the person who decides what happens next. A pilot pays off when it resolves a purchase or operating decision, even by narrowing the scope.

Practitioners discussing production deployment of LangChain workflows ask about stability and practical operating choices. Turn that concern into tests drawn from your workload, because a polished demonstration is no evidence of readiness for every case.

Choose one decision the pilot can answer#

"Explore AI" is too broad to accept or reject. "Determine whether the existing agent can prepare reviewable account briefs from current source material at an acceptable total cost" is a decision. It also puts the retained company knowledge and connection layer into the trial without requiring a new agent purchase.

State the excluded work. A pilot that produces internal drafts does not establish readiness to send offers to customers, and a pilot on one region's records does not answer access or data handling questions for every region. The sponsor then knows what can safely follow.

Use a mix of routine, difficult, and expected-failure cases that reflects the planned workload and includes cases that could change the buying decision.

Acceptance element	Example decision language
Business result	Account owner can use the brief for the renewal review
Sources	Material claims point to current permitted records
Human effort	Review and correction stay within the agreed allowance
Failure behavior	Missing authority produces a safe incomplete result
Cost	All attempts and required tools are included
Continuity	Another operator can repeat the workflow
Next step	Expand, narrow, repair a named issue, or stop

Set the rule for disputed outputs#

Two reviewers disagree about a brief. Decide beforehand whether the disagreement is about factual correctness, style, business judgment, or missing requirements. Do not average a factual error into a satisfaction score, and do not mistake a stylistic preference for a safety failure.

In a hypothetical trial of forty briefs, have two reviewers independently assess a small common subset and use the differences to clarify the rubric before scoring the rest. Keep the original disagreements, because rewriting the rubric after seeing the winner makes the final comparison untrustworthy.

Include rejected results in the cost. If thirty briefs are accepted and ten are abandoned, the spend on all forty produced the thirty usable outcomes. Human review and operator recovery time follow the same rule.

Test the handoff to ordinary operators#

A pilot run only by its builder hides setup knowledge. Ask another operator to start a task, handle missing information, find the result, and explain an approval, using the documentation that would exist after purchase and no private coaching channel.

If they cannot finish, identify the missing instruction or product behavior. Do not label the failure resistance to change; the pilot exists to find out what the normal team needs.

The OpenAI practical guide to building agents discusses selecting workflows and intervention. Use it as input, and keep acceptance tied to your own work and authority model.

Decide without moving the finish line#

At the end, evaluate the written criteria and record exceptions. A failed requirement can justify a narrower purchase instead of abandoning everything: internal briefs can be useful while automatic customer updates stay outside the accepted scope.

If the sponsor wants a new use that was not tested, treat it as another decision with its own evidence. Do not declare the pilot a universal success and leave operators to discover the limits afterward.

The evaluation scorecard offers broader comparison questions and the rollout checklist covers the period after acceptance. Using your existing agent keeps replacement from becoming a prerequisite.