Guide

Consumer chatbot AI disclosure checklist

Track evidence for customer-facing AI chat, support, sales, advice, companion, and patient communication experiences.

Consumer chatbot review should connect external AI experiences to disclosure text, escalation paths, owner review, jurisdiction scope, and operational evidence.

Author

Steve LaBella

Co-founder and CEO, Tallin

Published

Last reviewed

Identify the external user experience

Start with the surface a consumer sees: support chatbot, sales assistant, claims helper, financial or health advice flow, AI companion, or patient communication experience. A backend model route matters, but the user-facing disclosure obligation usually starts with the experience.

Attach disclosure and escalation evidence

Useful evidence includes the exact disclosure text, where it appears, when it appears, which product owner approved it, and how a user can escalate to a human. Gateway or app telemetry can prove the experience exists, but the disclosure copy is often customer-attested.

Keep federal pointers thin

Tallin should point consumer-impacting claims to FTC or sector counsel review without pretending to decide the law. The product's job is to package the AI-system context and evidence so counsel can review it faster.

Key takeaways

  • 01Track consumer-facing experiences, not only backend model providers.
  • 02Attach the exact disclosure copy and human-escalation path.
  • 03Use Tallin evidence for routes, owners, and activity where available.
  • 04Treat federal and sector obligations as review pointers, not Tallin verdicts.

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Consumer chatbot AI disclosure checklist | Tallin