AI Workforce / Sales

HubSpotGmailSlack
Sales

Pipeline Follow-Up

ON STALE OPPORTUNITIES

What it does

An AI Employee finds opportunities that have gone quiet, reaches out with context from the last conversation, and either books a next step or marks the record accurately.

The problem

Opportunities age in the pipeline with no next step. Reps hunt the loud deals and the quiet ones expire.

Trigger

Starts on stale opportunities.

Tools and systems

Connections depend on your deployment. Native where available, otherwise through Zapier, an API, or another connection you already use.

HubSpotGmailSlack
  • CRM
  • Email
  • SMS
  • Calendar
  • Slack

What it reads

  • CRM records, notes, and fields you map
  • Messages in the connected inbox
  • Inbound texts on connected numbers
  • Availability and events on connected calendars
  • Internal alerts and threads you route to Slack

Actions it can take

  • Reply or reach out on the connected channels you allow
  • Check availability and book or update appointments when your rules allow
  • Create or update CRM records with the fields you map
  • Notify the team in Slack with a summary
  • Hand off to a person when the request is outside the playbook

Human controls

  • You define stale-after rules by stage.
  • Named accounts can stay with the assigned rep only.
  • Require approval before changing stage on large deals.

Workflow steps

  1. 1Stale opportunities are selected based on stage and idle time.
  2. 2The AI Employee reviews the last notes and opens a relevant follow-up.
  3. 3Replies are captured and the stage is updated.
  4. 4Ready deals get a meeting or a handoff.
  5. 5Dead deals are closed with a reason when possible.

Example use case

A discovery call from 11 days ago has no next meeting. The AI Employee emails a short recap and two times to continue. The prospect picks one. The CRM stage moves from Discovery to Scheduled, and the rep gets a Slack note.

Often handled by your AI Sales Representative, as part of the broader AI Workforce.

How to customize

This job is configured around your knowledge, hours, approval rules, and the systems in this deployment. Connections depend on the deployment. Native where available, otherwise through Zapier, an API, or another connection you already use.

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