Ready for AI means the systems can carry it.
Most AI programs stall on the wiring, not the model. No APIs where the agents need to reach, data spread across systems that were never meant to talk, and nobody able to say what a model may touch. We fix the foundations first, so what comes next reaches production.
Sounds familiar.
Every system holds part of the answer, and none of them expose an API.
Three versions of the customer, and no agreement on which one is right.
The pilot worked in a notebook and died at integration.
Security wants to know what the model can touch. Nobody can answer.
Four foundations.
Access
APIs and typed connectors to the systems of record, so an agent reaches the work without screen scraping or a nightly export.
Data
A foundation the business trusts. Identity resolved, lineage known, quality enforced where a decision depends on it.
Governance
Identity, permissions, and audit. What an agent can see, what it can do, and the record that proves it.
Operations
Environments, evaluation, and monitoring. The ability to ship a change safely, and to roll it back.
Assess the systems as they are. Sequence by value and readiness.
A readiness assessment ranks the use cases the business wants against what the systems can hold today. The first one ships on foundations built to carry the rest.
- 01
Assess
Systems, data, integration points, and permissions, mapped as they run today. Not as the architecture diagram says.
- 02
Sequence
Use cases ranked on value and readiness. The first production use case named, with the foundations it needs.
- 03
Build
The API layer, the data foundation, and the governance an agent needs. Typed connectors, not workarounds.
- 04
Prove
The first use case live on the new wiring, under human approval. The second starts further ahead.
what we assess
- APIs & integration
- Data quality
- Master data
- Identity & access
- Audit & logging
- Environments
- Evaluation
- Security posture
- Documentation
- Skills
how it starts
A fixed-scope assessment. Then a plan the business can sequence against.
A short, fixed-scope engagement. You get the readiness map, the ranked use cases, and the foundations the first one needs, with a cost for building them.