The product integrates as a layer on top of their existing models, serving as a policy-as-code layer so they don't have to fine-tune, prompt engineer etc. to get them up to par in their deployments as is standard now.

One example that I like discussing is insurance, where the local, state, and federal policy landscape changes frequently. We worked with an Inc. 5000 Insurtech that had issues with NAICS codes hallucinating, which are used to profile risk of an individual's profession. Their enterprise Claude model generated a NAICS code that was valid and passed AWS Bedrock's guardrails, but wasn't valid for the year the claim was made. We were able to catch that with the policy engine.