In this session discover how HBF revolutionized claims processing using AWS. By leveraging Amazon Bedrock and Amazon Textract, they cut claim costs from $2 to just 10 cents and reduced the processing time from two weeks to two minutes. With accuracy in the high 90s and 70,000 claims processed monthly, their end-to-end AI-powered architecture for claims processing sets a new benchmark for speed, cost, and customer satisfaction.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Bedrock + Textract end-to-end claims processing. Cost cut from $2 to $0.10 per claim (95% reduction). Time from 2 weeks to 2 minutes. 70,000 claims/month at high-90s accuracy.
Why it matters
This is the kind of P&L-changing AI deployment that ends boardroom debates. The numbers don't argue.
The hard parts
High-90s accuracy still leaves errors. In consumer-facing claims, those errors become complaints, regulatory issues, and brand damage.
Playbook moves
(1) Tier claims by complexity. Auto-process simple ones. Escalate edge cases to humans. (2) Track the escalation rate as a primary metric. (3) Audit accuracy per claim type — averages hide issues.
The surprise
$2 → $0.10 is a 95% cost reduction. At that ratio, the question changes from "should we automate?" to "what do we do with the freed-up budget?" That's a strategy conversation, not an ops one. Most boards are unprepared to answer it.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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