AI / Connector Architecture
Connect AI without giving it the keys to everything.
Connect the systems AI needs. Preserve the permissions already in place. Keep every connection clear enough to test and maintain.
Connect AI to the systems where work already lives.
AI cannot help with daily work if it cannot reach the documents, data, and software people already use.
We build connectors to document repositories, data platforms, search systems, Microsoft 365, and other business applications.
The goal is simple. Connect the work without removing the rules that protect it.
Choose how each source should be searched.
We map the systems AI needs and the rules that control access. Some questions need an exact database query. Others need document search, exact-word search, or search by meaning. We match the method to the source and question. That gives AI a better chance of finding the right information instead of producing a polished answer from the wrong place.
Build access around the rules, not convenience.
We use managed connectors when they fit and build custom connectors when they do not. An API lets one system request data or actions from another. MCP is a protocol that gives AI tools a consistent way to use approved data and tools. Whichever method we use, we design the connector to preserve the source system’s permissions and access boundaries. We design how requests are routed and how search data stays in sync. We also account for document versions and what happens after information is deleted.
Reading a record is not the same as changing it. We define those rights separately. Actions with real consequences, such as sending, approving, deleting, or paying, can be held for human approval.
AI should return only information the person or approved workflow is allowed to access. Nothing more.
Leave with connections your team can test and maintain.
You receive working connectors and clear rules for routing each request. You also receive permission tests and rules for keeping the information used for search current when the source changes. The documentation shows what each connector can reach, how it behaves, and what your team must maintain.
We also define request and cost limits, useful logs, retry rules, failure alerts, and a clear way to revoke access. That makes a broken or abandoned connection easier to stop before it becomes a larger problem.
Give AI the access it needs. No more.
AI can use the systems that matter while staying inside the permissions your business already uses.
That makes AI useful without quietly expanding who or what can reach sensitive information.