Zedric.Book
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CS-10 // Dossier

White-label agency delivery

Embedded as the automation build arm of a marketing agency: nine complete GoHighLevel acquisition systems delivered into clinic sub-accounts across two countries in five and a half weeks — nurture workflows, AI receptionists, booking calendars, deposit handling, landing pages, and the owner handbooks the agency handed over.

Exhibit // CS-10

R-02 · interface redrawn from the live build — zero client pixels

Redrawn exhibit — delivery board: eight-stage build pipeline with one active stage, nine numbered build tiles with one flagged in audit, and a nine-builds-in-5.5-weeks stat
Client
R-01SEALED UNDER NDA. SPECIFICS WALK THROUGH LIVE. → BOOK
Industry
Marketing agency · nine clinic builds
System
White-label agency delivery
Stack
GoHighLevel · Conversation AI · Voice AI · Cloudflare Workers · Playwright
Trigger
An agency selling campaigns faster than it could build the systems behind them
Metrics
System scope

01 // The problem

The agency sold campaign launches faster than it could build the receiving systems — and its own flagship lead workflow carried 14 defects, including marketing SMS with no opt-out. Across client accounts, "finished" builds routinely contained steps that saved cleanly and did nothing at runtime.

02 // The system

Redrawn — no client data

The system

AGENCY BRIEFPER-CLIENT STRATEGYDESIGN PACK13–36 DOCS EACHCLIENT APPROVALGATE BEFORE ANY WRITEBUILD TO DRAFTPIPELINE · AI · PAGESMULTI-PASS AUDITLIVE READ-BACKHUMAN PUBLISH

03 // The delta

Before and after go-live

Before

  • Campaigns sold faster than the systems behind them were built
  • "Finished" builds with steps that saved cleanly and did nothing
  • The agency’s own flagship workflow carried 14 defects
  • No handover docs a clinic owner could actually operate from

With the system

  • A repeatable delivery path: spec pack → approval → draft build → audit → human publish
  • ~119 workflows built or rebuilt across nine accounts
  • Every fault found became a standing check on the next build
  • Owner handbooks and go-live checklists with every delivery

04 // What got done

6 entries

  1. B-01Standardised a repeatable build blueprint — 8-stage pipeline, ~17-workflow set, AI receptionist with knowledge base, booking calendar, deposit mechanism, landing page — diverging per client with a written record of every deviation, never silently
  2. B-02Wrote a 13-to-36-document spec and design pack per client, so copy and architecture were approved before anything touched a live sub-account
  3. B-03Made verification its own phase: read every write back from the live account, ran up to five audit passes per build, and treated "the API returned success" as unproven
  4. B-04Built everything to DRAFT and left publishing as a deliberate human click, so no unfinished automation could reach a real patient
  5. B-05Kept a shared cross-client ledger of platform failure modes, copy standards and compliance limits — a fault found on one account became a check on every later one
  6. B-06Shipped plain-language owner handbooks and go-live checklists so clinic owners could run systems they did not build

05 // Outcome

System scope — capability metrics, honestly labeled

→ Scope
client builds across 10 sub-accounts, 2 countries
0
→ Scope
workflows built or rebuilt into live accounts
~0
→ Scope
AI agents configured — chat, booking & voice
0

06 // The result

From the build log

  • Nine systems delivered: five live or published, three built to draft awaiting client-side blockers, one complete design pack
  • Six owner handbooks and system guides shipped with the builds
  • Every write verified against the live account before being called done
CS-11 — Live launch & fault triageOpen →

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