Client Support Retainer Failed Deployment Rollback Pack (With AI)

A support retainer client rarely asks how you deploy—until Friday at 4:58 p.m., when a release turns the checkout green button gray and support tickets spike. A bad deploy is not always a full outage, but it still burns retainer hours when nobody captured the previous version, rollback is “we’ll figure it out,” and the client hears silence for ninety minutes.

This playbook is for freelancers and small agencies who already run monthly retainer reviews and know how to run a scheduled maintenance window. It is not a live P1 urgent incident pack for mystery downtime, not a post-incident RCA you write three days later, and not P2 slow-not-down triage when the app limps but stays up. It is the path when a specific release or config change clearly caused regression and you need a written rollback decision, smoke tests, and Gmail updates while the retainer clock runs.

When to use this pack

Reach for it when all of these are true:

• The retainer is active and you can access deployment tooling (CI/CD, hosting panel, container registry, or infrastructure-as-code repo the client owns).
• Symptoms started after a deploy, migration, or config push you or the client triggered (timestamp correlation matters).
• Rolling back to the last known-good build or config is a realistic option within the retainer scope.
• The client needs a visible paper trail: what broke, what you rolled back to, and how you verified recovery.

If the root cause is unknown and severity is critical, start with the P1 pack, then return here once you know a release is the trigger. If the client wants net-new features in the broken release, route scope through a change request after stability returns.

What you will produce

1. A Rollback Brief in Google Docs (one page): release ID, previous good version, rollback steps, smoke-test checklist, and stop conditions.
2. A ChatGPT triage memo separating FACT vs ASSUMPTION on deploy timing, error signatures, and blast radius.
3. A three-email Gmail sequence: acknowledged → rollback in progress → verified stable (or escalated if rollback fails).
4. A monthly review row linking deploy incidents so renewal conversations see release risk early.

Step 1 — Capture facts before you roll anything back

Paste a structured snapshot into ChatGPT (redact secrets, tokens, and customer PII):

You are my retainer ops assistant. Separate FACT vs ASSUMPTION.

FACTS I know:
- Deploy time (UTC): …
- Version / commit / build ID: …
- Last known-good version: …
- Symptoms (errors, URLs, user segment): …
- Monitoring signals: …

ASSUMPTIONS to challenge:
- Rollback artifact still exists
- Database migrations are backward compatible
- CDN or edge cache will not serve stale broken assets

Output: rollback go/no-go, top 3 smoke tests, and client-safe status line (2 sentences).

Save the output in the Rollback Brief under Triage. If you cannot name a last good version, your next billable hour is discovery—not clicking Redeploy.

Step 2 — Build the one-page Rollback Brief (Google Docs)

Section	Content
Trigger	What changed (release tag, config key, feature flag)
Impact	Who is affected and how (checkout, admin, API consumers)
Last good	Version ID, deploy time, link to changelog
Rollback plan	Ordered steps + owner (you vs client DevOps)
Smoke tests	5 checks that prove core flows work
Stop / escalate	When rollback aborts and P1 or vendor path opens
Comms	Gmail send times aligned to client timezone

Share the doc with comment access for the client approver. Rollback without written ack is how retainers eat surprise scope.

Step 3 — Get a fast client ack

Send a short Gmail note (human sends, AI drafts):

Subject: [Client] — rollback recommended after today’s deploy

We correlate today’s deploy (build …) with [symptom]. We recommend rolling back to build … which was stable on [date].

Please reply “ACK rollback” or call if you want us to patch forward instead. Estimated window: … minutes. We will run smoke tests on checkout and … before all-clear.

If the client chooses patch-forward, document that decision in the Brief and treat extra engineering as out-of-scope or CR unless the retainer explicitly includes release engineering.

Step 4 — Execute rollback with a time box

1. Freeze further deploys (disable pipeline or lock branch—state this in the Brief).
2. Rollback using the client’s standard path (revert commit, redeploy previous artifact, toggle feature flag off).
3. Purge caches if static assets or CDN nodes can serve the broken build.
4. Run smoke tests from the Brief on production (not only staging).
5. Log timestamps for each step—billing and RCA both need them later.

Set a 90-minute time box. If rollback does not restore core flows, escalate using the urgent incident pack and note vendor ownership if a hosted platform is stuck.

Step 5 — Gmail cadence (three emails)

#	When	Purpose
1	Within 15 min of decision	Ack + rollback plan link
2	Rollback started	ETA + what you are testing
3	Smoke tests green	All-clear + link to updated Brief

Keep language factual—no blame toward the client’s developer who clicked deploy. Your job is stability and traceability.

Step 6 — Feed the monthly review

Add one row to the retainer review log:

Month	Incident	Release	Rollback?	Follow-up
…	Bad deploy checkout	v… → v…	Yes	Add pre-prod smoke gate

That row makes chronic recurring tickets less likely after the next release train.

Common mistakes

• Rolling back without naming a last good build — you are guessing, not operating.
• Skipping cache purge — users still see the broken JS bundle.
• Silent rollback — the client discovers it from end users first.
• Patch-forward heroics on retainer hours — scope creep without a CR.

Quick checklist

• Deploy timestamp correlates with symptoms
• Last good version documented
• Client ACK in writing
• Smoke tests passed on production
• Three Gmail updates sent
• Monthly review row updated

Used together with SSL renewal and maintenance windows, this pack keeps predictable releases from becoming unpredictable retainers.