Runbear is a Slack AI teammate and support AI agent for Support Ops teams. It connects to the systems where fixes happen, then uses scoped skills to resolve known issues directly in Slack, with approval controls and an audit trail.
Quick answer: when a support request arrives, Runbear checks the right systems, identifies the fix, and either proposes the action to a human or completes it automatically when the action is safe and reversible. It does not just summarize the ticket. It helps close it.
This is what Slack AI support automation looks like in practice: a known fix completed in the same thread where the request arrived.
A Pylon request lands in #support: a customer is locked out after too many failed login attempts. Everyone knows the fix: clear the lockout and send a reset link. But the customer still waits until someone with access opens the admin console and does the work.

That gap is the last mile of support resolution: the space between understanding the issue and actually performing the fix.
The last mile is where support slows down
Modern AI is already good at reading a request, pulling context, and drafting a useful reply. The bottleneck is what happens after the answer is obvious. The fix often lives across Pylon, Slack, an auth service, an internal admin tool, or a billing API.
These are not rare edge cases. Clear a lockout. Resend an invoice. Requeue a stuck job. Update a safe account field. Each task is simple, but each one still needs access, judgment about scope, and a visible record of what changed.
Context-only AI can make this feel worse: it gives the team a better-worded to-do, then stops. Support does not need another summary. It needs the known fix to happen.
What AI resolution means
A resolver is different from a gatherer. A gatherer reads, reasons, and explains. A resolver does that, then completes the permitted action: it clears the lockout instead of only diagnosing it.
In Runbear, the resolver is a named Slack teammate. It lives where the support request appears, whether that starts in Pylon, Slack, or another workflow. It can only use the systems and skills you grant.
Three pieces matter:
- Connected systems: Pylon, Slack, auth services, internal databases, admin tools, or APIs.
- Scoped skills: narrow actions such as unlock-account, resend-invoice, or requeue-job.


