Projects & productivity integration

Breeze integration for AI agents

Insiro connects AI agents to Breeze so they can act in it under your rules. Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page. Every Breeze action runs through Insiro's governed gateway, using each person's own connection (API key).

What can AI agents do with Breeze?

With Insiro, agents can create and update tasks from requests, summarise progress and blockers for a weekly update, move work between stages when conditions are met and assign owners and due dates, all inside the permissions you set for Breeze.

  • Create and update tasks from requests.
  • Summarise progress and blockers for a weekly update.
  • Move work between stages when conditions are met.
  • Assign owners and due dates.

A journey through Insiro

Breeze logo BreezeInsiroSlack

Example: Breeze → Insiro → Slack to post a weekly progress digest to the team channel. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Breeze

Can Insiro AI agents use Breeze?

Yes. Insiro connects AI agents to Breeze through its governed MCP gateway. Agents can create and update tasks from requests and summarise progress and blockers for a weekly update using each person's own Breeze access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Breeze?

Breeze connects with API key. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.

Can I make Breeze read-only for agents?

Yes. In Insiro Governance, set Breeze to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.

Put Breeze to work with governed AI agents.

A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.

  • 13governance checks on every agent tool call
  • 1,700+SaaS apps agents can act in
  • 30+data dialects for plain-English questions