Page de couverture de AI4Sales Edge Case Study: When Deals Go Quiet - How AI Stops Pipeline Silence From Killing Revenue

AI4Sales Edge Case Study: When Deals Go Quiet - How AI Stops Pipeline Silence From Killing Revenue

AI4Sales Edge Case Study: When Deals Go Quiet - How AI Stops Pipeline Silence From Killing Revenue

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You had the perfect discovery call.
The buyer agreed. The use case landed. The deal felt real.

And then — silence.

Not a no.
Not a yes.
Just nothing.

In this episode of AI4Sales Edge, Jelena breaks down one of the most expensive problems in modern sales: quiet pipeline decay — deals that don’t die, but slowly rot.

This isn’t a follow-up problem.
It’s a visibility problem.

Drawing from real enterprise experience across Europe and the Middle East, this episode explains why strong deals go quiet after good meetings — and how leading teams use AI-driven revenue intelligence to detect risk before momentum is lost.

You’ll hear how AI helps teams:

  • Flag deals that go silent after strong discovery
  • Detect engagement drop-offs humans miss
  • Identify stalled stages and missing decision-makers
  • Act with precision instead of pressure

Real-world examples include:

  • How Unity reduced slipped deals by over 30% using AI pipeline signals
  • How mid-market SaaS teams improved forecast accuracy with AI copilots
  • How shared visibility across Sales, RevOps, and CS stopped deals from disappearing

🎯 Key takeaway:
Silence is a pattern.
AI sees it long before your team feels it.

If your pipeline looks healthy but feels unpredictable, this episode explains why — and how to fix it.

Real stories. Real results. No fluff.

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