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
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.
What you get
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.
Typical first use cases
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
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.
Six weeks and a fixed fee, scoped by the number of systems your use case depends on.
See exactly what's included