Beagle for Rafflys.
Beagle puts Rafflys to work from Slack and Microsoft Teams - reading what it needs, drafting the work, and waiting for your nod.
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See it work.
One thread: ask about your Rafflys in plain language, and Beagle steps in on its own when something moves. The same conversation in Slack, Microsoft Teams, or Gmail.
@beagle what's the latest from Rafflys?
- Read this week's updates in Rafflys
- Flagged the two that changed since Monday
- Drafted the next step, held for your nod
Two updates need you today - both linked below with what changed. The next step is drafted, one nod from going out.
Something new is published - Beagle catches it in Rafflys, pulls what matters, and is ready to summarise it and draft the post. It goes out when you nod, not before.
What Beagle does.
With Rafflys connected, from day one.
Watches Rafflys
Beagle keeps an eye on Rafflys. When something new is published, it catches it and brings the context to your channel.
Drafts the next step
It can summarise it and draft the post - then waits for your nod before anything is saved or sent.
Answers across your stack
Ask "what's the state of our updates?" and Beagle answers from Rafflys and everything else it's connected to, in plain language.
Connect Rafflys to.
One teammate across both tools. No zap to build.
Common questions.
Does Beagle integrate with Rafflys?
Yes. Connect Rafflys with OAuth and Beagle works with it from Slack and Microsoft Teams - reading what it needs, drafting the work, and asking before anything goes out.
What can Beagle do with Rafflys?
Beagle watches Rafflys for when something new is published and is ready to summarise it and draft the post. You can also just ask it questions about your updates in plain language.
Is the Rafflys connection secure?
Every read is scoped to the teammate who asked - Beagle only sees what that person can already see in Rafflys - and nothing is sent or saved until you approve it.
Do I need a separate automation tool?
No. Beagle is the teammate in the middle. You talk to it in plain language instead of building and maintaining Rafflys workflows by hand.
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