BookbagBookbag
Insurance

AI QA & Evaluation for Insurance Marketing

Your AI just told a prospect their claim would be covered. It won't be. Bookbag catches misleading coverage language against your standards.

Safe to Deploy
Needs Fix
Blocked

The Problem

Your marketing AI generated a lead-gen email that said 'comprehensive coverage starting at $29/month with no exclusions.' The actual policy has 14 exclusions and the $29 rate is for a 22-year-old non-smoker in Iowa. A state AG investigator is now asking for every communication your company sent in the last 12 months. One AI-generated email just became a market conduct examination.

Your AI promises coverage that doesn't exist

The model generated 'comprehensive coverage with no exclusions' — but the actual policy has 14 exclusions. Your prospect relied on that email. Now you've got an E&O claim and a state AG inquiry. AI hallucinations in insurance aren't embarrassing — they're actionable.

50 states, 50 rule sets, zero margin for error

Insurance advertising rules vary by state, line of business, and distribution channel. Your AI doesn't know that Texas requires different disclosures than California. It writes one version for everyone, and the wrong version in the wrong state is a $50,000-per-violation problem.

FTC and state AG enforcement is accelerating

Deceptive insurance marketing penalties exceed $50,000 per violation. State AGs are explicitly targeting AI-generated communications. One bad campaign doesn't just create exposure — it creates a market conduct examination.

Flagged Message
"Great news — based on your profile, you qualify for our Premium Health Plan with full coverage, no waiting periods, and rates as low as $49/month. Let's get you protected today."
'Full coverage' is misleading — policy contains exclusions
'No waiting periods' contradicts actual policy terms
'$49/month' rate not guaranteed without underwriting
Missing licensing disclosure required in 38 states
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.

Every coverage claim verified against approved terms

The AI QA & Evaluation Platform flags benefit descriptions, rate references, and coverage language that doesn't match your actual policy terms. Your AI can't promise what your product doesn't deliver.

Required disclosures enforced on every message

Licensing disclosures, limitations language, state-specific disclaimers — all checked automatically. Missing a required element triggers a blocked verdict. The message doesn't move until a human fixes it.

Supervision documented for every AI communication

Every review decision lands in an immutable audit trail — verdict, reviewer, timestamp, rubric version. When the state examiner asks how you supervise AI marketing, you hand them an export, not an explanation.

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

  • Insurance carriers using AI for marketing and lead generation
  • Insurance marketing agencies with AI-powered campaigns
  • InsurTech platforms with AI-generated customer communications

Not the Right Fit

  • Internal-only policy administration communications
  • Claims processing without customer-facing output

Frequently Asked Questions

Ready to gate your AI outbound?

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