/case-studies / insurance-agentic-claims-triage
AGENTIC AI & AUTOMATION

Agentic claims triage cuts settlement times for an insurer

client
UK Insurer
industry
Insurance
services
Agentic AI · Automation
duration
6 months
fig.80// skillikzmodeltraininfervectorAImodel.evalrollout87%98%accuracyusage87coveragelive
// OVERVIEW

UK Insurer — a insurance organisation — engaged Skillikz on agentic claims triage: AI agents that triage, enrich and route claims with human sign-off. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 6 months.

// TECHNOLOGIES
LangGraphClaude / GPT-4PythonVector DBAWSKubernetes
60%
faster triage
100%
actions audited
24/7
processing
leakage
01 // THE CHALLENGE

Manual claims triage created backlogs and inconsistent decisions, while regulators demanded a full audit trail of every action.

02 // OUR APPROACH

We deployed AI agents that gather evidence, enrich claims and route them — with humans approving anything sensitive and every action traced.

Agents with scoped access to claims systems
Human-in-the-loop approval for payouts
Full action tracing and audit trails
Evaluation suite to keep decisions consistent
03 // THE RESULTS

Triage is 60% faster with consistent decisions, lower leakage and a complete, auditable record that satisfies the regulator.

It's like giving every adjuster a tireless assistant — with a perfect memory and an audit trail.

Head of Claims · UK Insurer
// HOW WE'D DELIVER THIS TODAY

The AI services behind this outcome

A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.

// MORE WORK
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