Is your data ready for the AI you were promised?
A six-week, fixed-fee assessment of the systems your AI use cases depend on. Every system graded, every gap ranked, and a sequenced roadmap to your first use case in production. Built for P&C insurers and healthcare organizations.
When to Call Us
Three signs it's time.
An AI mandate with a clock
The board or CEO has set expectations, and someone owns a deadline they aren't sure they can hit.
"The board wants AI, but our data isn't ready."
A pilot that stalled or died
A vendor proof of concept or an internal build never made it to production, and nobody agrees why.
"We tried a vendor POC and quietly shelved it."
A data estate nobody trusts
Claims data, policy records, or lineage questions keep surfacing in every planning meeting.
"Nobody trusts our claims data."
How It Works
Six weeks from data access.
We need interviews with the people who know your systems and read access to extracts from the systems in scope. The clock starts when data access is in place.
Interviews & mapping
- Interviews with data, IT, and business leads
- Every in-scope source system mapped
- The AI use cases leadership has funded, documented
WhySo we assess only the systems your use case touches, not your whole data estate.
Profiling & scoring
- Profiling on real extracts, not just interviews
- Every system graded A–F on five dimensions
- Gaps ranked by impact on the funded use cases
WhyInterviews tell you what people believe about the data. Profiling shows what it actually is.
Leadership read-out
- Findings presented to leadership
- Roadmap in four horizons
- First use case scoped for 90 days
WhySo leadership can make the call with evidence, not opinions.
Why these five dimensions
Each one is a different way a pilot fails in production. We grade every system on all five.
Data Quality
Models learn whatever errors the data contains, at scale.
Documentation
If no one can say what a field means, no one can map it to a model.
Lineage
Regulators and auditors will ask where every input came from.
Access & Security
AI teams that wait months for data never get past the pilot.
AI Consumability
A model can only use data it can read at the moment it decides.
What We Provide
The scorecard, not slideware.
Scorecard
Every source system graded on five readiness dimensions. Every grade is evidence-backed: interviews plus profiling on real extracts.
WhyShows exactly which system will break your use case, with proof you can show others.
Gap list
Ranked by impact on the AI use cases leadership has funded, not by abstract best practice.
WhyTells you what to fix first, so budget goes where it unblocks AI.
Roadmap
Remediation sequenced in four horizons, with the first use case scoped for 90 days.
WhyTurns findings into a sequenced plan your team, or any partner, can execute.
Read-out
Presented to leadership. The roadmap is yours to act on, with or without us.
WhyGets leadership aligned on one decision, in one meeting.
Sample Deliverable
What the scorecard looks like.
An excerpt from a sample assessment of a fictional P&C carrier. No client data.
| System | Data Quality | Documentation | Lineage | Access & Security | AI Consumability | Overall |
|---|---|---|---|---|---|---|
| ClaimsCore | B | D | D | B | D | C |
| PolicyCore | D | D | D | C | D | D |
| FNOL Intake | C | F | D | C | F | D |
| ACORD Gateway | B | D | C | B | C | B- |
| EDW | C | C | D | B | C | C+ |
The circled F is where an FNOL triage pilot dies. Every grade is evidence-backed: interviews plus profiling on real extracts, tied to the use cases leadership funded.
The roadmap: four horizons.
0–90 days
Quick wins
- Glossary adopted, data stewards named
- First AI use case in production
- Remediation backlog funded by leadership
WhyUnblock the first use case fast, and show progress early.
Months 3–6
Fix what blocks the use case
- Claimant and policy golden-record pilot
- Claim documents made machine-readable
- Pipeline fixes for every system that scored D
WhyRemove the specific gaps that would stall the use case in production.
Months 6–12
Rebuild the plumbing
- Automated lineage across core systems
- Pipeline rebuilds and system integration
- Adjuster notes and estimates structured
WhySo the second and third use cases don't start from zero.
12 months +
Hand over
- Same-day data for underwriting and claims
- Playbooks handed to your own team
- Capacity that scales with the AI program
WhySo your team owns it, and you're not dependent on us.
Fixed fee, scoped by system count
Priced for 5, 10, or 15 source systems, agreed before we start. A fraction of the cost of one stalled pilot. Early-client pricing holds for 2026 engagements.
Senior-led
The architect who scopes your assessment runs the interviews, does the profiling, and presents the read-out.
Yours to act on
The roadmap belongs to you. Execute it with your own team, with us, or with another partner.
After the Read-out
A six-week answer, then a sequenced path.
If you want us to keep going, two engagements follow. From data access to first use case in production: about 19 weeks.
Applied AI Build
One narrow use case, built to a written accuracy target, inside the 90 days after the read-out.
- Claims document intelligence
- Entity resolution
- FNOL triage
AI Governance
The paperwork that lets pilots ship.
- Model risk management
- Algorithmic accountability
- Deployment patterns aligned with the NAIC Model Bulletin
Six weeks from now, you could have the answer.
Tell us how many source systems are in play and which AI use cases leadership has funded, and we'll send a scope and a fixed fee.