SALES

MAP slip escalation to manager with recommended save play

When two or more mutual action plan milestones on a deal slip past close-date buffers, it escalates to the rep's manager in MS Teams with a deal-risk summary and an agent-drafted…

CategorySales
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled at-risk scan
  • ActionPull open deals and MAP milestones from HubSpotHubSpotHubSpot
  • LogicKeep deals with 2+ slipped milestones
  • ActionAgent drafts risk summary and save play
  • OutputEscalate to manager in MS TeamsMicrosoft Teams
  • ActionLog risk event on HubSpot dealHubSpotHubSpot

What it does

Distinguishes a single slipped step from a deal genuinely going sideways. When a MAP accumulates multiple slips against the close date, it treats the opportunity as at risk: it builds a manager-facing risk summary, has the agent recommend a concrete save play, and records the escalation on the deal record.

When to use it

Use it for forecast hygiene on commit-stage deals where one slip is normal but a pattern of slips should pull a manager in early. It routes attention to the deals that actually need coaching, not every minor date change.

How it works

  1. 1A scheduled scan triggers the workflow.
  2. 2It pulls open deals and their MAP milestones from HubSpot.
  3. 3A logic step counts how many incomplete milestones have slipped past their close-date buffers and keeps only deals at two or more.
  4. 4The Paperclip agent assembles the deal context and drafts a risk summary plus a specific recommended save play.
  5. 5It posts the escalation to the manager's MS Teams channel.
  6. 6It logs the risk event back onto the HubSpot deal for an auditable trail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HubSpotCRM, deals, marketing, support.
  2. 2
    Connect Microsoft TeamsChannels, chats, files.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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