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Grade BproductionSource date Oct 17, 2026· Last verified Oct 17, 2026

How is DXC using AI agents in insurance claims processing?

DXC Technology · Banking & Financial Services

Header image: Keys, model houses and a calculator on a desk

DXC Technology, which runs core insurance systems for 1,100 customers, brought Claude into its Assure orchestration platform. Anthropic reports claims document backlogs cut from days to minutes, documents classified in under a second, and new regulatory rules embedded in days instead of 12 to 18 months.

Reported outcomes

regulatory rule implementation
days vs 12 to 18 months historically
Source [1] · self-reported
first-pass accuracy
80% right on the first pass
Source [1] · self-reported

Outcomes are reported exactly as stated by the source; we have not independently audited them.

How it works

  1. Claude classifies incoming claims documents.
  2. Helps implement new regulatory rules and benefit calculations.

Risks & compliance

  • Vendor-published results; not independently audited
  • Regulated insurance calculations require validation
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Tools mentioned & how to build it

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Tools mentioned

Build a version yourself

  • n8n
    Open-source workflow automation with AI agent nodes; self-host or cloud.
  • HubSpot (Breeze agents)
    SMB-friendly CRM with Breeze AI agents for prospecting and support.
  • Make
    Visual no-code automation with AI agents; good for intake, routing and follow-up flows.

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Sources

[1]Anthropic· vendor customer story· Undated (accessed Oct 17, 2026)
“Cut claims document backlogs from days to minutes, with documents classified in under a second”
DXC brings Claude to the insurance backbone running billions of policies

Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 2/2 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.

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