01 ·

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Cobalt Mutual Insurance

Insurance

Knowledge & RAG Systems

Cobalt Mutual Insurance

A claims assistant that answers

with its sources.

Avg. claims handling

10 weeks

13 min

Was

21 min

−38%

+27 pts

First-contact resolution

94%

Grounding accuracy

10 wks

Kickoff to production

Cobalt Mutual Insurance

02 · The engagement

Published

01 · Challenge

What was actually broken

Not the symptom, the cause.

Cobalt Mutual’s claims adjusters were searching across six systems — policy wording, state-by-state regulatory guidance, prior claim precedent and internal bulletins — to answer coverage questions on a single file. New adjusters took months to ramp, and senior adjusters lost hours a week to being the de facto search engine for the team.

02 · Approach

How we scoped it

And what we deliberately chose not to build first.

We mapped every source an adjuster actually consulted, including the internal bulletins that lived only in a shared drive, and built a retrieval pipeline that treats policy wording and regulatory guidance as separate, versioned sources rather than one undifferentiated pile of text. Every answer the assistant gives carries a citation an adjuster can click through to the source clause. We evaluated the system against 340 real historical claims questions before rollout.

03 · Architecture

The system, in one diagram

What it connects to, what a person still reviews, where the guardrails sit.

Solution architecture

Knowledge

In the claims system

Adjuster question

Policy, guidance, bulletins

Hybrid retrieval

Versioned sources

Grounded answer

Refuses when unsure

Grounding check

Pass · Inline in claims UI

Answer with citations

Else · Escalated with context

Senior adjuster

Grounding score per release · weekly gold-set run

A retrieval-augmented assistant indexes policy documents, state regulatory guidance and internal bulletins as separately versioned sources, with a grounding layer that refuses to answer when retrieval confidence is low rather than guessing. It’s embedded directly in the claims-management system adjusters already use, so there’s no separate tool to open.

04 · Result

What changed

Measured in production, not in the pilot.

Adjusters now get a cited answer to a coverage question in seconds instead of pulling three systems and a colleague into a side conversation. First-contact resolution rose sharply because adjusters could resolve coverage questions on the initial call instead of following up after research.

Cobalt Mutual Insurance

Result at a glance

Client

Cobalt Mutual Insurance

Industry

Insurance

Service

Knowledge & RAG Systems

Time to production

10 weeks

Headline

38%

faster average claims handling time

03 · What changed

In the client’s own operating numbers

38%

faster average claims handling time

27 pts

increase in first-contact resolution

10 weeks

from kickoff to production

−38%

Avg. claims handling

21 min

→

13 min

04 · In their words

Operators, not buyers

New adjusters are productive in weeks now instead of months, because the assistant carries the institutional knowledge that used to live only in our senior team's heads. And because every answer cites its source, our compliance team trusts it as much as our adjusters do.

Lindsay Oduya, Director of Claims, Cobalt Mutual Insurance

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06 · Start

06 · Start

Let’s find out

what it’s worth in production.

Have a workflow like this one? A 30-minute call is enough to tell whether it is ready to build.

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