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Marketing claims review

Domain: Marketing and advertising compliance
For: Marketing, legal, and compliance teams

Checks advertising claims against substantiation, disclosure, and release controls.

Source converted

This example combines official method sources with a synthetic company policy and a synthetic case. Raw official documents are not bundled.

Type Source Publisher / status
Official source Advertising and Marketing on the Internet: Rules of the Road U.S. Federal Trade Commission
Official source .com Disclosures: How to Make Effective Disclosures in Digital Advertising U.S. Federal Trade Commission
Official source Guides Concerning the Use of Endorsements and Testimonials in Advertising (16 CFR Part 255) Electronic Code of Federal Regulations
Synthetic policy and case Published in the demo directory under the repository MIT licence —

Skill generated

Instead of compressing the source into one summary, the skill separates reusable knowledge into six files:

  • SKILL.md: when to use the skill and the workflow;
  • public-method.md: an independent method summary from official sources;
  • company-policy.md: synthetic company rules with stable identifiers;
  • evidence-map.md: which claims may come from which source;
  • output-schema.md: the expected answer structure;
  • scenario-guide.md: missing information, conflicts, and abstention behavior.

The locked evaluation expects decision class approve-with-edits, option evidence-bounded-campaign, and 9 rule identifiers. Final human route: Legal · Compliance.

LLM only vs LLM + skill

The same case and prompt were run twice. The only difference was that the skill was installed for the second run. A deterministic script using the locked answer key, not another model, scored both answers.

Check LLM only LLM + skill
Policy rules cited 0 / 9 9 / 9
Exact decision class no yes
Named option yes yes
Human route yes yes
Trace score 40 / 100 100 / 100

Control answer · Skill answer · Scorecard

python tools/score_skill_answer.py scorecard --demo demos/marketing-claims-review

This is a one-scenario, one-host comparison; it is not proof of production accuracy or regulatory compliance.

Copilot packages

The classic package is not a direct solution import. It contains setup material for a human to apply in the target Copilot Studio environment.

Reuse this example

The source manifest, synthetic inputs, scenarios, raw answers, and scorecard are public under demos/marketing-claims-review/. Copy the structure for your own source, but publish only material you have the right to share. Review Safety & reuse.