Flag stalled deals for their owners
Improve sales pipeline management with sales pipeline automation that scans open deals for inactivity and passed close dates, emails each owner the deals needing attention, and marks them for review to keep pipeline hygiene on track.
Copied
On a schedule (every [schedule frequency, e.g. daily]), search all open deals in [CRM name] and identify any whose last logged activity is outside the allowed inactivity window or whose expected close date has already passed. Group the flagged deals by their owner, and for each owner send one reminder through [email platform] listing every deal that needs attention along with the reason it was flagged, such as no recent activity or an overdue close date. For each flagged deal, also update a review field on the deal record in [CRM name] so stalled and overdue opportunities remain filterable in the pipeline.
Guided by AI
Build your own with Maia
Start with an app-agnostic prompt, then let Maia guide you to the right apps and workflow.
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
%201.svg)
+2
Date
·
Duration
Problem
Sales teams review the pipeline by hand to spot deals that have gone quiet or whose expected close date has already passed. That means opening deal records one at a time, checking when the last activity was logged, and chasing owners individually. Deals drift without anyone noticing, and the forecast keeps showing close dates that are no longer real.
.avif)
+2
Date
·
Duration
Solution
On a schedule, the automation scans every open deal in the CRM and identifies any whose last logged activity falls outside the allowed inactivity window or whose expected close date has passed. It groups the flagged deals by owner and emails each rep one reminder listing the deals that need attention and the reason each was flagged. It then sets a review field on every flagged deal record so stalled and overdue opportunities stay filterable in the pipeline.
+2
Date
·
Duration
Impact
Stalled and overdue deals reach their owners without anyone auditing the pipeline manually, keeping deal records current and the forecast credible.
Benefits
+2
Date
·
Duration
Fewer forgotten deals
+2
Date
·
Duration
More reliable forecasts
+2
Date
·
Duration
Reduced pipeline slippage
+2
Date
·
Duration
Faster rep follow up
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
Similar use cases
Find inspiration by the type of content that fits your goals.
Date
·
Duration
Research accounts before outreach
On a set schedule, an AI agent works through the list of companies in the company database, picks up any that have not been researched yet, and runs live web research to gather the specific details the team asks for, judging what is relevant for each company as it goes. It compiles the findings into a consistently structured brief, creates a document for it, and writes the link back to the company record.
Date
·
Duration
Qualify inbound leads against your ICP
When a new lead is submitted through the intake form, an AI agent researches the company using live web search and weighs what it finds against the Ideal Customer Profile and disqualifiers pulled from uploaded knowledge files. It judges fit for each lead in context, then logs an ICP match score and a short evidence based reason to a spreadsheet.
Date
·
Duration
Draft personalized outreach for leads
On a set schedule, an AI agent picks up each lead not yet emailed from the lead list, runs live web research on their company, and pulls product positioning and proof points from uploaded knowledge files to draft a tailored subject and message guided by the rep's pitch direction. It writes the draft back to the lead record, sends it by email and marks the lead when sending is enabled, and skips any lead missing an email, company, or website with a note explaining why.