§04 · For enterprise architecture
Unlock your codebase and data for your AI tools.
The knowledge is already in the company. It's in the lakes, the silos, the system-of-record databases, the runbooks in the wiki nobody updated. Your teams' AI tools can't see most of it.
We configure the integrations. The shared knowledge store reaches into the systems that hold the truth, retrieval is tuned to your domain, and every team's harness reads from it with the governance boundaries your compliance group needs intact.
What you get
- 01
Data integration
Lakes, warehouses, system-of-record silos — connected into the knowledge store with the governance boundaries intact.
- 02
Retrieval that scales
Vector + structured retrieval tuned to your domain. Latency, cost, and recall measured, not assumed.
- 03
Governance + audit
Who saw what, what was rejected, what was used. Append-only logs. Compliance has a story to tell.
- 04
Federated harness
Each team's harness reads from the shared store. Local patterns layered on the company's. Drift becomes legible.
How it works
Starts as an architecture engagement: we map your data estate, retrieval needs, and compliance perimeter. Output is a deployable plan — integration map, retrieval contract, harness federation model. Build follows in phases, scoped per system. Tier-3 work assumes the tier-2 patterns are already in place — knowledge store, approved-pattern library, FDE training — or that we'll stand them up alongside.
← Simpler version
Engineers ship →Outgrowing this? →
This is the deepest tier. We compose with your platform team from here.
Talk
Architecture call first. We won't quote without understanding your data estate.