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Fundraising integration

Raisely integration for AI agents

Insiro connects AI agents to Raisely so they can act in it under your rules. Raisely is a fundraising platform that helps organizations create and manage online fundraising campaigns. It streamlines donor management and empowers teams to drive donations more effectively. Every Raisely action runs through Insiro's governed gateway, using each person's own connection (API key).

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What can AI agents do with Raisely?

With Insiro, agents can read records and context for a goal, create and update records with approval, notify the right people and keep an audit trail of every change, all inside the permissions you set for Raisely.

  • Read records and context for a goal.
  • Create and update records with approval.
  • Notify the right people.
  • Keep an audit trail of every change.

A journey through Insiro

Raisely logo RaiselyInsiroSlack

Example: Raisely → Insiro → Slack to notify the team when something changes. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Raisely

Can Insiro AI agents use Raisely?

Yes. Insiro connects AI agents to Raisely through its governed MCP gateway. Agents can read records and context for a goal and create and update records with approval using each person's own Raisely access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Raisely?

Raisely 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 Raisely read-only for agents?

Yes. In Insiro Governance, set Raisely 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 Raisely 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.

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