The CFPB has warned banks that a wrong chatbot answer can be an enforceable UDAAP violation. See what firms are exposed to β†’

Stop AI from hallucinating. Tell it what's true.

FINRA's own 2026 Annual Regulatory Oversight Report added a new section this year devoted entirely to generative AI: hallucinations, agent autonomy, and the supervision gap they create. It says firms need formal review and approval processes, human-in-the-loop review of every output, and retained records of what was said and by which model version. That is not a Truebe talking point. It is FINRA's own findings, in FINRA's own words.


Here is what the Report says firms should consider compared to what Truebe's architecture actually does.

What FINRA's 2026 Report says to consider
What Truebe does
Hallucinations, output that is inaccurate or misleading but presented as factual, can cause misrepresentation of rules, policies, or client data that impacts decision making.
πŸ”’ Every answer sits Pending until a named human approves it. Nothing reaches a visitor unreviewed.
Firms should implement formal review and approval processes for GenAI use cases, with a governance framework and clear, documented policies.
🚫 The gate is the architecture: no answer reaches a visitor without a documented human approval. Not a policy layered on top β€” the mechanism itself.
Ongoing monitoring should include storing prompt and output logs, tracking which model version was used and when, and human-in-the-loop review of outputs.
πŸ“‹ Audit log: who approved each answer, when, and from which source document β€” nothing to reconstruct after the fact because nothing was generated live.
When using GenAI for chatbot communications with investors, firms must ensure appropriate supervision and retention of those communications and chat sessions.
βœ… Every chatbot answer traces back to a source document a human already reviewed and approved. Supervision is built into the answer path, not bolted on after the transcript.
AI agents acting autonomously without human validation, and multi-step reasoning that is difficult to trace, are flagged as key risks to auditability.
πŸ–ŠοΈ Truebe never generates an answer live and never acts autonomously. It matches questions against a pre-approved library β€” nothing to trace because nothing was improvised.

Source: FINRA 2026 Annual Regulatory Oversight Report, "GenAI: Continuing and Emerging Trends" (December 2025).

How it works.

1. Upload what you already have

Your policies, FAQs, product sheets, and documents become fuel β€” no new workflow, no documentation hours. Try it right here: drop in a PDF.

Drop your PDF here

2. Approve each answer

Truebe drafts the Q&A with the exact source passage and a confidence score. You approve or refuse. Your judgment, on the record β€” every approval carries your name and timestamp in the audit log, so you can honestly say you personally verified every answer your site gives.

Upload a document in step 1 and your drafted answers will appear here for review.

3. Your site answers 24/7

Visitors get only what you approved β€” answers that never sleep and never improvise. Questions it can't answer get logged in the gap report: a running list of what your visitors actually want to know. Answer one, and it's answered forever β€” your library grows with your business. Ask the question you just approved.

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AI lawsuits and your industry.

Chatbot compliance risk in banking

The CFPB has warned banks that an inaccurate chatbot answer can count as an unfair, deceptive, or abusive practice under federal law, a real enforceable violation.

Read: CFPB chatbot issue spotlight β†’
How Truebe prevents this

Truebe's chatbot can't invent a policy. If it's not in an approved document, it doesn't get said β€” it goes to the gap report instead.