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Marketing integration

Rafflys integration for AI agents

Insiro connects AI agents to Rafflys so they can act in it under your rules. Rafflys is a giveaway and contest platform that helps brands engage audiences and boost social reach. It streamlines audience reward and winner selection with powerful automation. Every Rafflys 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 Rafflys?

With Insiro, agents can draft and schedule campaign content, pull performance numbers into a weekly digest, segment audiences from CRM data and spot underperforming campaigns early, all inside the permissions you set for Rafflys.

  • Draft and schedule campaign content.
  • Pull performance numbers into a weekly digest.
  • Segment audiences from CRM data.
  • Spot underperforming campaigns early.

A journey through Insiro

Rafflys logo RafflysInsiroHubSpot

Example: Rafflys → Insiro → HubSpot to sync campaign responses into the CRM. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Rafflys

Can Insiro AI agents use Rafflys?

Yes. Insiro connects AI agents to Rafflys through its governed MCP gateway. Agents can draft and schedule campaign content and pull performance numbers into a weekly digest using each person's own Rafflys access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Rafflys?

Rafflys 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 Rafflys read-only for agents?

Yes. In Insiro Governance, set Rafflys 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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Put Rafflys 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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