- Recommendations — AI-drafted next steps for an account, generated when a signal rule fires (a health drop, a negative call, a usage change) or by an agent.
- Approvals — agent runs paused at a Review step, waiting for a human decision.
Working a recommendation
Each recommendation shows the customer, a Risk / Growth / Neutral chip, what changed (health bucket movement with per-category deltas) or what was noticed (the signals that fired), and a list of suggested next steps. Steps are either:- Manual — tick the checkbox when you’ve done it, or
- Tool steps — click Review to open the Execute modal, where the AI’s draft is ready to edit and send.
Deciding an approval
Approvals show the workflow context, a snapshot of the data the agent saw, and the proposed change — which you can edit inline before approving. Approve resumes the workflow (with your edits); Reject sends it down the reject branch. Stacked approvals of the same kind can be decided in bulk. Every decision records who decided, when, and any note.FAQ
Where do recommendations come from?
Where do recommendations come from?
From signal rules you configure (Settings → Signals) and from agents. Nothing appears in the inbox unless a rule or agent you set up generated it.
Does anything send automatically?
Does anything send automatically?
No. Tool steps in a recommendation only execute when you review and send them. Agents can act autonomously only if you built them without a Review gate.
Can I edit the AI's draft before sending?
Can I edit the AI's draft before sending?
Yes — every field in the Execute modal is editable, and approvals support approve-with-edits.
