CONNECTED SYSTEMS
Connect AI agents to your business software.

Model Context Protocol (MCP) is a standard for connecting AI to tools and data. We build connectors that let agents use approved business systems.
List the tools the agent needs
An agent may need to find an account, read an order status or search a procedure. Define those tasks first. A direct API may be enough.
Example: prepare a customer update
The agent reads the approved account and order details, then drafts an update for your team to review.
| Business need | Example approved tool | Potential benefit |
|---|---|---|
| Prepare a customer update | Read account and order status | Less time searching separate systems |
| Respond to a quote request | Retrieve approved product and pricing inputs | Faster preparation with review retained |
| Support a new acquisition | Map local records to a shared workflow | Reusable integration work |
Offer specific tools
Expose functions such as “read order status” or “prepare draft quote.” Validate the inputs and results instead of granting broad database access.
Enforce access rules
Check identity and permissions in the integration. Separate reading from changing records and require approval for consequential actions.
Handle errors and duplicate requests
Set timeouts, recovery rules and duplicate prevention. Log enough to investigate failures without storing unnecessary sensitive content.
Reuse tested connections
One connector can support several approved workflows. We build and test the connections against the tasks your business needs.
Further reading
MCP: official introductionMake it specific to your business.
Bring one workflow. We’ll discuss where AI could help and what needs to be validated.
Discuss your existing systems
