Connector
Architecture.

We design and build the connectors that let AI reach the systems where your work actually lives: document repositories, data platforms, Microsoft 365, and line-of-business applications, with permissions and access boundaries preserved.

We map the systems AI needs to reach and the access rules that govern them. You get a clear picture of what can be connected safely, what needs guardrails, and where permission boundaries have to be enforced.

We architect the connectivity using managed connectors where they fit and custom connectors where they don't. Approaches such as MCP and API integration preserve permission inheritance and access boundaries from the start. We design retrieval architecture so AI sees what it should and nothing it shouldn't.

Working connectors, integration and retrieval architecture, and documented access boundaries, built to be governed and maintained.

AI connected to the systems that matter, operating within the permissions you already trust, without opening doors you didn't mean to open.