AI-Assisted Content Ops for Regulated Teams
Financial services, healthcare and energy marketing teams want AI speed without compliance nightmares. This is the workflow I use to keep regulators happy while scaling production.
Structured Prompts, Structured Output
Writers never paste unvetted AI copy into production. Instead, we feed a prompt template (persona, offer, compliance tags) into a private LLM workspace. Output lands in Notion or Confluence as outlines, not final drafts.
Compliance Review Built In
Each outline includes a “risk checklist” pulled from the legal knowledge base. Reviewers mark off claims, disclosures and trademark usage before anything moves to copywriting. Audit trails live alongside the content brief.
Publishing Automation
Final drafts sync to the CMS via API with metadata auto-filled: schema type, canonical, hreflang and internal links. When an update is required, the workflow re-opens the LLM prompt with previous feedback attached—no tribal knowledge loss.
Model Governance
Every prompt logs the dataset, temperature, version and reviewer ID. If regulators ask how messaging was produced, we can trace it to the exact checkpoint in seconds. Sensitive industries run on Azure OpenAI or Anthropic with private networking.
Upskilling & Change Management
Teams receive office hours, Loom walkthroughs and a searchable FAQ so no one feels left behind. KPIs track throughput, approval time and revision count, proving the process works without sacrificing creative voice.
Need AI Content Guardrails?
I set up prompt libraries, reviewer playbooks and automation that keep legal, marketing and SEO in lockstep.
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