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Financial Services

AI QA & Evaluation for Financial Services

Your AI just promised a prospect '12% annual returns.' FINRA doesn't care that a model wrote it. Bookbag catches it against your standards.

Safe to Deploy
Needs Fix
Blocked

The Problem

Your AI outbound engine sent 500 prospect emails last week. Three of them contained projected returns without risk disclosures. One used the word 'guaranteed.' FINRA 2210 doesn't have a carve-out for 'the AI did it.' You're looking at a per-message fine, a supervision deficiency, and a conversation with your CCO you don't want to have.

FINRA 2210 doesn't care who wrote the message

Your AI generated a prospect email with projected returns and no risk disclosure. That's a per-message fine, a supervision deficiency finding, and a conversation with your CCO. 'The AI did it' is not a defense.

Compliance review costs $300-$600 per filing — and AI is 10x the volume

Your compliance team was already bottlenecked reviewing human-written communications. Now AI is generating 10x the volume. You can't review every message manually, but you can't skip review either.

Regulators expect documented supervision of AI outputs

When the examiner asks 'How do you supervise AI-generated client communications?', the answer can't be 'We spot-check.' They want an immutable audit trail, rubric-based enforcement, and evidence of human authority over every message.

Flagged Message
"Hi David, with markets showing strong momentum this quarter, our managed portfolio strategy has consistently delivered 8-12% annual returns. I'd love to show you how we can protect and grow your retirement savings."
Projected returns without required risk disclosure (FINRA 2210)
Promissory language ('protect and grow')
Past performance presented as forward-looking guarantee
Missing 'past performance does not guarantee future results' disclaimer
Verdict: BLOCKED → compliance SME authority escalation required

How Bookbag Helps

Every AI-generated message is evaluated with structured human verdicts: approved messages pass, risky messages get fixed, and high-risk messages require SME approval with evidence.

FINRA-aligned rubrics enforced on every message

Configure your compliance policies as machine-enforced rubrics. Every AI-generated message gets evaluated against FINRA 2210 rules — performance claims, promissory language, missing disclosures — before it can send.

Authority escalation with full evidence

Blocked messages route to your compliance SMEs with the flagged text, the specific rubric violation, evidence quotes, and recommended corrections. Your team makes the call — with everything they need in front of them.

Examination-ready immutable audit trail

Every verdict, correction, and approval is timestamped, attributable, and version-stamped against the rubric that applied. When the examiner asks, you hand them an export — not a narrative.

AI EVALUATION FLOW
1. AI generates messages
Outbound content ready for review
2. Gate evaluates every message
Rubric-based review → verdict assigned
safe_to_deploy → Ships automatically
needs_fix → QA corrects with rewrite
blocked → SME review with evidence

Best For

  • Broker-dealers using AI for prospect outreach
  • Investment advisory firms with AI-generated client communications
  • FinServ marketing teams using AI personalization at scale

Not the Right Fit

  • Internal-only financial communications
  • Teams not subject to FINRA or SEC advertising rules

Frequently Asked Questions

Ready to gate your AI outbound?

Join the teams shipping safer AI with real-time evaluation, audit trails, and continuous improvement.