Guide
12 questions to ask before you put AI on your claims.
What to ask any vendor about accuracy, explainability, security, and who approves what, so you can compare answers side by side.
- Accuracy. How it was measured, on whose claims, and what happens when it’s wrong.
- Explainability. Whether every result can be traced to the page it came from.
- Security. Where your data goes, who can see it, and whether it trains anyone’s models.
- Control. What runs on its own, and what waits for a person to approve.
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More reading for claims leaders.
Papers on how Isomer reads a claim file, how the models are chosen and measured, and running it in your own tenant.
