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Governed AI Marketing Operations for a Professional-Services Brand

We connected brand, search, content, anonymization, imagery, QA, and approval into one governed operating system.

From fragmented production to one governed system.

Brand, search, content, imagery, review, and publication approval were fragmented. The work needed a repeatable structure that preserved source integrity and protected sensitive information.

  1. Brand and channel structure
  2. SEO, AEO, and GEO content planning
  3. Source preservation and anonymization rules
  4. Role-based image system
  5. Automated QA and forbidden-token checks
  6. Publishing lock before explicit approval
1000+content pipelines passed QA
500+engine tests passed
300+role-based assets per item
LOCKEDpublishing before approval
Operations console dashboard: today's queue, approvals, QA status, and client progress
Client detail screen: case pipeline states and weekly search-traffic chart

Screens from the live operations console. The client and data shown are de-identified examples.

Disclosure

The client, legal office, case information, parties, contact details, and internal paths remain undisclosed. The figures above describe production and governance status, not marketing performance.

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