Services

Assess. Build. Govern.

A six-week answer, then a sequenced path to AI in production. Every engagement starts with the assessment; the build and governance follow only if you want us to keep going.

The Path

Assess6 weeks
Build8–12 weeks
GovernAlongside the build
AI ships~19 weeks from data access
01 · Assess

AI-Readiness Data Assessment

6 weeks from data access · Fixed fee

Find out whether your data can support the AI you've been asked to deliver, and exactly what to fix first.

WhyKnow before you spend.

We grade every source system your AI use cases depend on, using interviews plus profiling on real extracts, and rank the gaps by impact on the use cases leadership has funded. The fee is fixed and scoped by system count: 5, 10, or 15 source systems.

The read-out is yours to act on, with or without us.

See how the assessment works

What you get

Scorecard: every source system graded A–F on five readiness dimensions
Gap list ranked by impact on your funded AI use cases
Roadmap in four horizons, with the first use case scoped for 90 days
Read-out presented to leadership
02 · Build

Applied AI Build

8–12 weeks, inside the 90 days after the read-out

One narrow use case, in production, built to a written accuracy target.

WhyProve value on one use case before scaling.

Pilots die when they meet production data. The build starts from data the assessment has already graded, targets the use case leadership funded, and agrees the accuracy target in writing before work begins.

From data access to first use case in production: about 19 weeks.

Explore live demos

Typical first use cases

Claims document intelligence
Entity resolution
FNOL triage
03 · Govern

AI Governance

4–8 weeks, alongside the build

The paperwork that lets pilots ship.

WhySo the model can actually go live in a regulated business.

Regulated carriers can't put a model into production without the controls around it. Governance runs alongside the build, so the first use case goes live with the documentation, accountability, and deployment patterns it needs.

Governance in place before go-live, not bolted on after.

What it covers

Model risk management
Algorithmic accountability
Deployment patterns aligned with the NAIC Model Bulletin

Platform engineering is delivered with partners.

Pipeline rebuilds, system integration, master data, and claims and document digitization are engineering work. The roadmap names that work, sizes it, and puts a sponsor behind it, and established engineering partners deliver it. We stay focused on assessing, building the first use case, and governance.

Know before you fund the pilot.

Six weeks and a fixed fee, scoped by the number of systems your use case depends on.

See exactly what's included