We've been getting the same request over and over from our users: "My AI gives great answers, but it can't actually do anything."
It got us thinking most AI integrations today are still essentially fancy search boxes. The AI talks, the human acts. But the real unlock is when the AI can close the loop itself query the database, send the email, update the record without a human in the middle.
The hard part isn't the action itself. It's the non-determinism. How do you build a system where the AI decides when to act, which action to take, and what parameters to pass based purely on context without it going off the rails?
We've been getting the same request over and over from our users: "My AI gives great answers, but it can't actually do anything."
It got us thinking most AI integrations today are still essentially fancy search boxes. The AI talks, the human acts. But the real unlock is when the AI can close the loop itself query the database, send the email, update the record without a human in the middle.
The hard part isn't the action itself. It's the non-determinism. How do you build a system where the AI decides when to act, which action to take, and what parameters to pass based purely on context without it going off the rails?
Most AI assistants stop at the answer. AI Actions lets yours go further.
Add actions from templates (REST API, databases, Slack, email) or import an entire MCP server. Link them to your assistant. It reads the conversation, picks the right action, runs it, and responds — automatically.
No hardcoded logic. No extra prompting. Just an AI that moves the needle.