AI Automation Client Closeout Pack
by Kuan Ee Lau
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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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
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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