Cloudflare cascade of AI models cut damaged-product claim processing cost 49%
49% lower cost
Claims pipeline runs about 3.2x faster and costs 49% less per million claims
Cloudflare tested its Clairic extraction model on Workers AI in a damaged-product claims pipeline, chaining it with its Clef decision model and GLM-5.3 for drafting replies. The cascade ran about 3.2x faster than GLM-5.3 alone and lowered cost per million claims by 49%, though Clairic still struggles with multi-step arithmetic.
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The tools behind this win
- Workers AIHosted the Clairic extraction model in the claims pipeline
- ClairicExtracted structured data from damaged-product claims
- ClefMade decisions on claims within the cascade