How does AgentIQ connect to systems we already run?

AgentIQ is designed to sit on top of your existing stack rather than replace it. There are three connection routes, and the right one depends on how much control you need over the data that leaves each system.

Route 1 — prebuilt connectors

The fastest path. Authenticate once, pick the objects you want exposed, and the agent can read and write against them. Suits the common enterprise systems where the schema is stable and well documented. Setup is measured in hours.

Route 2 — direct API integration

For internal or bespoke systems, you register the endpoints as tools: the URL, the auth method, the input schema and a plain-language description of when the agent should reach for it. That description matters more than people expect — it is what the planner reads when deciding whether the tool is relevant.

Route 3 — a middleware layer

Where systems are legacy, rate-limited or hold data that must not leave a boundary, put a thin service in between. The agent talks to your service; your service talks to the legacy system and returns only the fields you allow. It costs more up front and it is usually the right call in regulated environments.

Choosing between them

Start with connectors for anything they cover, direct API for your own services, and middleware only where a compliance or performance constraint forces it. Mixing all three in one deployment is normal.

What to check before you connect anything

Confirm which service account the agent will use and scope it to the minimum required. Agents inherit the permissions you give them, and an over-scoped service account is the single most common finding in an AI security review.