AI Automation Client Closeout Pack

    by Kuan Ee Lau

    1

    Audit messy AI automation project evidence before client sign-off, expose blockers, and generate a clean handoff page only when the proof supports it.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    See it in action

    You say

    Review this near-complete n8n client project for closeout. The approved scope requires one CRM lead per accepted webhook, no duplicate write on retry, a controlled recovery path, and named post-handoff owners. I supplied the scope, sanitized workflow export, baseline test records, and handoff notes. Replay, failed-write, and alert-acknowledgement proof may be incomplete.

    Your agent does

    Assessment boundary: supplied-evidence review; no live execution performed.

    Verdict: BLOCKED

    Why:

    • Baseline behaviour is represented and partly proven.
    • Exact-target duplicate, failed-write, alert-acknowledgement, and controlled-replay proof is missing.

    Smallest next action: Supply attributable expected-versus-actual records for those four scenarios, including target release/environment, execution time, executor, and evidence locator.

    Client sign-off page: WITHHELD

    What you get

    Reconcile promised scope against actual build artifacts and test logs.Identify missing ownership or support responsibilities before handoff.Generate internal chase lists to fix evidence gaps before client review.Produce professional sign-off pages with disclosed technical exceptions.

    About this skill

    Close out AI automation projects with evidence, not guesswork

    An automation can look finished while scope, test evidence, credentials, recovery, ownership, or support boundaries remain unclear. This skill reviews the redacted project material you supply before client sign-off.

    What it does

    • Maps every promised outcome through Promise → Build → Proof → Owner.
    • Separates supplied claims from attributable evidence for the target release and environment.
    • Produces a private agency closeout check with blockers, conflicts, ownership gaps, and next actions.
    • For a blocked project, produces the smallest evidence or decision chase and withholds the client page.
    • For a ready project, produces a separate client sign-off and handoff page with outcomes, evidence references, exceptions, ownership, exclusions, and support boundaries.

    Designed for

    AI automation freelancers and small agencies delivering n8n, Make, Zapier, chatbot, AI-agent, or API-connected workflows.

    Useful inputs

    Approved scope and changes; sanitized workflow exports or build notes; expected-versus-actual test records; UAT decisions; and platform, billing, credential, alert, recovery, escalation, and support ownership records.

    Important boundaries

    This is a supplied-evidence review. It does not execute, observe, deploy, or test the live automation, and it does not prove production reliability, security, legal compliance, or contractual acceptance. It will not invent approvals, results, owners, thresholds, terms, exclusions, or production status. Use redacted files and never provide passwords, API keys, tokens, payment-card data, patient data, or unnecessary personal data.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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