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Data Readiness Verdict · P&C insurers

Can you trust the data your AI pilot runs on?

In six weeks we profile real extracts from every system one AI use case depends on, grade each A to F, and give you a written verdict: go, fix then go, or no-go. Before you fund the pilot.

Time
6 weeks
Fixed fee
From $75K
Scope
5 to 15 systems
Map your AI pilot, free

Three minutes. No sign-up. Your answers stay in your browser.

Ready to talk? Request a fixed-fee scope →
A sample of what you get, for
Data Foundation Report CardProfiling extractsMeridian Casualty Group (fictional)
SystemQualDocsLinAccAIOverall
ClaimsCore
C
PolicyCore
D
FNOL Intake
D
ACORD Gateway
B-
EDW
C+
F

FNOL Intake · AI Consumability

This is where an FNOL triage pilot dies.

Loss descriptions arrive as free text and scanned PDFs. A triage model has nothing structured to read at first notice.

Hover or tap any grade to see the evidenceA–B readyC remediateD–F blocks AI
More for P&C insurers

What's at stake

The pilot worked in the demo. Then it met production data.

Demos run on clean samples. Production runs on years of workarounds. The model is the same; the answers aren't.

Claims recordsIn the demoIn production

CLM-10482

Loss date

2026-03-14

2026-03-14

Never captured at first notice

CLM-10483

Cause of loss

Hail

Hail

Catch-all code that hides the real cause

CLM-10484

Claimant

J. Rivera

J. Rivera

Same person, three IDs, three systems

CLM-10485

Policy number

HO-2231907

HO-2231907

Two formats; half the joins miss

CLM-10486

Status

Closed

Closed

"C" means closed in one system, canceled in another

Illustrative records. These are the patterns we find when we profile real extracts.

When the data is the problem, you find out late

The budget goes to a model nobody can trust with real decisions.

The months go to fixing pipelines you could have seen first.

The next AI request meets a board that remembers this one.

All of it is in the data before you build. So look first.

Start with your own map

Map your AI pilot · Free · About 3 minutes

Your AI pilot is only as good as the data it reads.

Most pilots that fail don't fail on the model. They fail on a system nobody checked. Map yours in three minutes and see where it's exposed, before you fund it.

No sign-up. Nothing leaves your browser unless you send it.

  1. 1Name your AI projectThe one leadership wants delivered.
  2. 2List where its data livesIn your team's own words.
  3. 3Say how far you'd trust each sourceA gut call: solid, not sure, or shaky.
  4. See your mapEvery system, how far you trust it, and what a weak one would break.

When people see their own systems on one map, they recognize it in seconds, and the conversation changes. That's where every Verdict starts.

The Plan · What We Provide

Three steps. Six weeks.

You get a written verdict, a Data Foundation Report Card, a ranked fix list and a roadmap, all built from your own systems' data. Below are real pages from a sample read-out for a fictional P&C carrier.

  1. Weeks 1–3

    1 · Map

    Every system your use case depends on, mapped with the people who run it.

    WhySo we grade only the systems your use case touches, not your whole data estate.

  2. Weeks 3–5

    2 · Grade

    Profiled, not surveyed: real extracts from each system, graded A–F on five dimensions.

    WhySo every grade rests on evidence from the data itself, not on opinion.

  3. Week 6

    3 · Decide

    A written verdict, the ranked fix list behind it, and a four-horizon roadmap. Yours to act on.

    WhySo leadership can make the call with evidence, not opinions.

Why Us

We've built what we grade.

Before we graded data platforms, we built them. That's why our grades hold up. Two engagements, anonymized:

Insurance · Underwriting

Underwriting knowledge search

Time to find an answer

Manual search85% less

Healthcare · Claims Integrity

Claims data platform with AI anomaly detection

Reporting latency

10 daysNear real time

Fraud detection accuracy

Prior model+23%
Read the case studies

Before you ask

What buyers ask us first.

What does it cost?

From $75K for up to five source systems. Ten and fifteen systems are scoped the same way. The price is set in the scope, before we start, with no hourly billing.

Does our data leave our environment?

Only if you choose. By default, profiling runs inside your environment, under your access controls. Where that isn't practical, extracts move over a secure transfer method you approve, and are deleted at the end of the engagement.

How much of our team's time does it need?

A project lead to schedule interviews and approve access; 12 to 20 interviews of about an hour each in weeks 1–3, with the data, IT and business people who run the in-scope systems; and your sponsor at the read-out.

What if the answer is no-go?

Then you've kept the pilot budget, and you know exactly why, in writing. The fix list says what would change the answer. That's the point of doing it first.

Do we have to hire you to implement it?

No. We don't sell AI platforms. The verdict is written and delivered before any follow-on work is discussed, and it's yours to take to any firm. Your own team or existing partners can take it on. If you want us, we deliver the first AI use case (Applied AI Build) and the governance work; larger platform engineering is delivered with our partners.

Every question security and procurement ask

Know before you fund the pilot.

A Data Readiness Verdict in six weeks: go, fix then go, or no-go, from your real data. From $75K for up to five source systems, set in the scope before we start.

See exactly what's included in the Verdict