Building an AI workflow that moved marketing from drafts to publish

Designed and implemented an AI-assisted content engine with prompt templates, role-based review, and CMS publishing hooks that cut campaign lead time dramatically.

The challenge

Writers were stuck in repetitive drafting cycles, and campaign timelines slipped because content operations were fragmented across tools and manual approvals.

The approach

• 01Mapped the editorial lifecycle and created prompt frameworks tied to content goals, tone, and channel constraints.
• 02Implemented a review pipeline with statuses, revision history, and role-based approvals to prevent accidental publishing.
• 03Connected final output to CMS publishing APIs and analytics events for downstream performance tracking.

The outcome

The marketing team produced more campaigns with a smaller team while keeping voice consistency and editorial quality standards.