Hub Planner integration for AI agents
Insiro connects AI agents to Hub Planner so they can act in it under your rules. Hub Planner is a smart resource management and scheduling platform for teams. It streamlines project planning, time tracking, and reporting for global organizations. Every Hub Planner action runs through Insiro's governed gateway, using each person's own connection (API key).
What can AI agents do with Hub Planner?
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 Hub Planner.
- 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
Hub PlannerInsiroSlackExample: Hub Planner → 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 Hub Planner
Can Insiro AI agents use Hub Planner?
Yes. Insiro connects AI agents to Hub Planner 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 Hub Planner access, with read-only as the default and approvals for actions that change data.
How does Insiro connect to Hub Planner?
Hub Planner 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 Hub Planner read-only for agents?
Yes. In Insiro Governance, set Hub Planner 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.
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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