Multi-agent low-complexity claims processing
Multiple agents can coordinate coverage checks, evidence verification and preparation of settlement recommendations; human payout approval remains necessary in documented Allianz case.
Executive question
Where can multi-agent workflows reduce backlogs without harming fairness?
What to measure
- End-to-end resolution time
- Payout accuracy and appeal outcomes
- Human review workload
- Exceptions by claim type
Relevant products and standards
Seven task-specific AI agents help process high-volume food-spoilage claims after catastrophe events in Australia. Payout decisions are never automated: a human approves every payout.
Guidewire framework, launched in its Qusar release (Aug 2026), for insurers to build, deploy and manage AI agents with access to policy, claims and billing data.
A decision platform for banks, lenders and insurers to build automated decision workflows and AI agents (for example, claims or onboarding review) with human experts monitoring results.
Relevant examples, not documented integrations, completeness, certification or endorsement. Listed alphabetically.
Evidence and current limits
Documented deployment
Draft analysis, under editorial review.