Choose an LLM for compliance-heavy workflows

• Optimise for predictable refusal behavior + structured outputs.
• Prefer models with strong long-context reasoning when reviewing policy docs and briefs.
• Use a two-pass workflow: generate → verify (claims + required disclaimers).
• Store prompts + outputs for audit and regression testing.
• Keep a “red team” prompt set and re-run it after every model change.

Checklist

1. 1
   Define your compliance constraints

   List prohibited claims, required disclosures, tone boundaries, and approved sources.
2. 2
   Pick a model with safety-first defaults

   Start with Claude for safety-heavy and policy-heavy tasks; validate alternatives if you need speed or multimodal reasoning.
3. 3
   Implement verification gates

   Add a second pass that checks every claim against allowed statements and flags unsupported promises.
4. 4
   Keep artifacts for audit

   Log prompt, inputs, outputs, and a short justification for approvals so you can reproduce decisions later.

FAQs

Recommended next steps