Insurance carriers have spent the last decade modernising customer-facing experiences while the core back-office has changed more slowly. The result: a deep gap between the agile front-line systems that touch customers and the regulated systems of record that auditors trust. AI-enabled rebuilds promise to close that gap — but only when the audit posture survives the rebuild.
What we do for insurance carriers
- Claims-triage modernization — replacing rule-stack-and-keyword front lines with identity-bound agentic assistants that produce inspectable, auditable recommendations.
- Underwriting decision support — retrieval-augmented assistants over policy, regulatory, and prior-case material, behind enterprise identity.
- Document understanding — claims documents, policy applications, prior-case material — ingested via OpenShift AI inference pipelines with full audit trail.
- Customer-service platforms — SPA front-ends, container-hosted chat, integrated with policy-administration systems via WSO2 API Manager or MuleSoft.
- Compliance posture — every model output and tool call traceable to an authenticated identity, with a documented rollback path from agentic recommendation back to a fully-human flow.
What makes insurance engagements distinct
Compared with banking, insurance engagements often have more room for AI-augmented applications at the workflow layer — claims triage, underwriting support, customer-service augmentation — but the audit posture has to be designed in, not bolted on. A production agentic claims assistant only survives if reviewers can answer “why did the agent say that?” with the same evidence the agent had.