What belongs in an AI implementation brief

Describe the current process in plain language, including the trigger and the intended output. Identify the person who uses the result and the business problem that makes the work worth improving. Keep the immediate deliverable separate from a hoped-for downstream outcome.

Add an explicit out-of-scope list. If the workflow prepares an internal summary, say whether it may change records or send messages. Boundaries protect both the operator and the implementer from interpreting an attractive demonstration as approval for additional actions.

Add a simple walkthrough of where the work starts and ends. Identify the handover to the next person or system. If different teams describe different endings, resolve that disagreement before treating the scope as settled.

Name the systems, record types, and fields needed for the job. State who owns each source, how current it must be for the task, and what the workflow should do when a required record is absent. Do not leave the implementer to guess which spreadsheet is authoritative.

Include one example of conflicting inputs and the intended response. The correct behavior may be to pause and ask an owner, not to combine the records into a plausible answer. Explain access boundaries without putting credentials or private customer information in the brief itself.

List the decisions the workflow may make under an approved rule and the decisions reserved for a person. Then identify the reviewer and what they receive. An instruction to keep a human involved is incomplete unless the brief says where that person enters and what authority they hold.

The NIST AI RMF Govern guidance addresses documented roles, communication lines, and planned monitoring and review. A practical brief can reflect those concerns without claiming that using a checklist guarantees compliance or eliminates risk.

Illustrative example: A fictional service business wants a daily internal summary of open work orders. The brief specifies the work-order system as the source, excludes completed orders, links each summary item to its record, and flags an order with no assigned owner. It does not authorize customer contact or changes to scheduling.

Add an exception: the source connection is unavailable. The brief says the operator sees that no current summary was produced, rather than receiving yesterday's information labeled as current. Examples turn broad requirements into behavior the team can inspect. They are design aids, not customer outcomes.

Describe the evidence that would support approval for the agreed scope. A summary check might confirm that every item matches an eligible source record, that links work for the intended operator, and that missing ownership is visible. Include incomplete, contradictory, and unavailable inputs in the checks.

Name who signs off on the business behavior and who verifies the system connections. Preserve the tested configuration and the review record so a later change can be compared with what was approved. Avoid replacing those checks with a statement that the output looks professional.

Specify who receives problems after launch, who can pause the workflow, and how manual work resumes. Note which changes need renewed testing: a new source field, altered permissions, or a broader action boundary may all change the behavior that was originally reviewed.

Keep the brief as a maintained reference, not a document filed away after setup. Record the approved version and unresolved questions. For an initial discussion, the Wolf Pack CEO assessment linked below can help organize the business context. See my approach to connected systems and the brand portfolio for professional context; my affiliated Howling directory profile is another reference for my work, not an independent validation of this method.

NIST AI RMF Playbook: Govern — GOVERN 2.1 and 3.2 address documented responsibilities, communication lines and human–AI oversight; GOVERN 1.5 addresses ongoing monitoring and review. Guidance, not certification or a guaranteed result.