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Growth team (high campaign velocity)

AI campaign workflows with approvals and compliance checks

LLM drafting + QA gates so launches speed up without increasing risk or rework.

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Client names withheld by NDA. Details are generalized to protect privacy while preserving the technical and operational shape of the work.

Problem

Launching campaigns took too long, review churn was high, and policy/UTM mistakes created rework and risk.

Context & constraints

  • High campaign velocity with multiple approvers
  • Brand, policy, and compliance constraints
  • UTM + naming errors broke attribution and QA
  • QA gates required before publishing

Approach

  • Codify brand constraints and claim/policy checks before generation.
  • Build an approval-ready workflow (diffs, checklists, handoff artifacts).
  • Add QA gates (UTMs, naming, landing page checks) before launch.

What Shipped

  • LLM workflows to draft ads/emails/LP copy within brand constraints
  • Approval-ready outputs (checklists, change tracking, handoff)
  • QA gates to catch policy/UTM issues before launch
  • Templates and playbooks to keep quality consistent across contributors

Operational outcomes

  • Drafting sped up while quality stayed consistent
  • Fewer review cycles via approval-ready artifacts
  • Lower UTM/policy error rates due to automated QA
  • Clear audit trail of changes and approvals

Governance & Safety

  • Human approval required
  • Blocked terms/claims checks
  • Change tracking
  • Access controls for publishing

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