Most enterprise AI stalls on the environment, not the technology. What a record means, who may change it, which system the business actually trusts: those answers take time inside the building.
Our engineers do that on site, with your team: AI built into the systems you already run, measured against the work it replaces, and handed to people who can build the next one without us.
A small team inside your environment for a defined period, working with your people. Each phase produces something you own and can judge before the next begins.
Map the environment as it is. Which systems hold the entity, which definitions conflict, and what policy actually governs access.
The harness already exists, so this is deployment rather than construction. Containers stood up inside your boundary on your CI/CD with a promotion path, real sources connected, first entity modeled and governed.
One bounded workflow taken end to end, with the human gates the risk calls for. Measured against the process it replaces, not against a benchmark.
Your team takes ownership. We stay on for the next entity, which goes faster because the patterns already exist.
Each of these used to mean a program, an integrator and a multi-year roadmap. The harness is already built, so the work is a fleet of agents running on it against the systems you already run. If yours is not on the list, name it.
None of this waits on a platform program to finish first. That is usually what stops it from ever getting built.
Versioned in your own repository, in an open spec. If you replace us, the ontology stays with you, because it describes your business and not our product.
It never leaves. Federation pushes compute to the source, and the record stays in the system and the security boundary it started in.
Lineage emitted as OpenLineage events into your own tooling, as a continuous stream rather than a report we produce.
Every agent, the policies it runs under and the deployment configuration, as source in your own repositories and on your own pipelines. Nothing runs that your engineers cannot read and change.
Hours are the wrong unit when the work is not done only by people but also by AI. We price against the outcome, with fee at risk on the result, measured against the baseline agreed before we start. Time and materials where you want it.
It usually holds the entity the rest of the business depends on, which makes it the most useful place to begin.