Deals going dark

A deal rarely dies loudly. It goes quiet. The agent notices the silence inside your risk window, explains what it is seeing, and puts a follow-up in front of the owner before the quarter does.

The brief

Written like you’d brief a person.

This is the whole setup - a procedure in plain language, with tools and specialist agents referenced inline. When it runs is not written here: that’s the trigger, configured beside it.

For each open deal from #yekar.hubspot.search-records, check the last touch with #yekar.hubspot.list-record-activity, #yekar.gmail.search-messages and #yekar.google-calendar.list-events. When nothing has moved inside the risk window, explain the evidence, draft a follow-up with #yekar.gmail.create-draft, and alert the owner with #yekar.slack.send-message.

How it runs

From trigger to logged outcome.

Trigger

Schedule - A daily check of open deals against your configured risk window

  1. Monitor the pipeline

    Reads every open deal and the last touch on each channel.

  2. Detect the gap

    Flags deals with no meaningful email, meeting or reply inside the window.

  3. Retrieve the context

    Pulls the thread, the stakeholders, and where the deal was heading.

  4. Explain the risk

    States what it saw and did not see - evidence, not a score.

  5. Draft the follow-up

    Proposes the next-best message for the owner to send.

Where people stay in control

Nothing consequential runs on its own.

  • Outreach is drafted for the deal owner, who decides whether it goes.
  • Risk thresholds are yours to set per stage - the agent flags, it never re-stages a deal.

Tools it uses

Runs on accounts you already have.

  • HubSpot
  • Gmail
  • Google Calendar
  • Slack

Connected once, governed per agent - this use case gets only the tools listed here.

Illustrative savings

$600–$1,600 / month

Assumes 80–250 open deals reviewed weekly by hand at 3–5 minutes each, with the agent doing the first pass daily.

Illustrative monthly savings, estimated from typical handling time at public salary benchmarks, reviewed August 2026. Not a promise or a guarantee - your numbers depend on volume and process.

What makes this dependable

Start with the job

See how Yekar.AI would run one of your real processes.

Bring the job, the systems it touches, and the decisions that need a person.