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    AI Automation Client Closeout Pack

    by Kuan Ee Lau

    2

    Turn messy AI automation project evidence into a sign-off verdict, precise blocker chase, and—when ready—a client handoff page.

    $9

    30-day refund guarantee

    Secure checkout via Stripe

    0 installsSecurity scanned

    See it in action

    You say

    I need to close out this n8n project before the final client call. Review the attached approved scope, change log, sanitized workflow export, test results, UAT notes, and ownership handoff. Check each promised outcome against the build, proof, and receiving owner. Tell me whether it is ready for client sign-off. If blocked, give me only the smallest evidence or decision chase. If ready, create the private closeout check and a separate client-facing handoff page. Do not assume anything that is not supported by the files.

    Your agent does

    AI AUTOMATION CLOSEOUT CHECK — PRIVATE

    Assessment boundary Supplied-evidence review only. No live execution performed. Target: CRM Lead Intake v1.4 / Production

    Verdict: BLOCKED

    Decision summary 3 of 5 promised outcomes have attributable build and proof. Two material gaps prevent client sign-off.

    Blockers

    1. Retry safety — Duplicate-write prevention is represented in the workflow, but no exact-target retry result identifies release v1.4. Smallest next action: Supply one expected-versus-actual retry record for v1.4 showing a single CRM record.

    2. Recovery ownership — Failed-write recovery is described, but no receiving owner or escalation path is named. Smallest next action: Record the post-handoff recovery owner and escalation route.

    Ready evidence

    • Accepted webhook creates one CRM lead — proven by test T-01.
    • Rejected payload is logged — proven by test T-03.
    • Client UAT decision — approved with the two gaps above still open.

    Outputs

    • Private closeout check: CREATED
    • Internal evidence chase: CREATED
    • Client sign-off and handoff page: WITHHELD until blockers are cleared

    What you get

    Decide whether a finished n8n, Make, Zapier, or AI-agent project is ready for client sign-off.Audit a messy delivery folder before the final demo, final invoice, or ownership transfer.Turn missing retry, recovery, monitoring, or ownership proof into a precise internal chase list.Generate a client-facing handoff page only when the supplied evidence supports acceptance.

    About this skill

    Know whether the project is actually ready to close

    An automation can look finished while scope, test evidence, retry or recovery proof, ownership, or support boundaries remain unclear. This skill audits the redacted project material you supply before the final demo, final invoice, client sign-off, or ownership transfer.

    What you get

    • A private agency closeout check covering every promised outcome.
    • A clear BLOCKED, READY WITH DISCLOSED EXCEPTIONS, or READY verdict.
    • For blocked projects, the smallest evidence or decision chase needed to move forward.
    • For ready projects, a separate client-facing sign-off and handoff page with delivered outcomes, evidence references, exceptions, ownership, exclusions, and support boundaries.

    How it decides

    Every in-scope promise is traced through Promise → Build → Proof → Owner. Claims are separated from attributable evidence for the target release and environment. Missing, stale, conflicting, duplicated, or unreadable critical material is surfaced instead of guessed.

    Built 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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    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean 25 days ago

    Listed25 days ago

    Creator

    Kuan Ee Lau

    Kuan Ee Lau

    8 skills on Agensi

    Frequently Asked Questions

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