Follow-up isn’t pressure.
It’s precision.

Top teams don’t follow up more —
they follow up better.

AI surfaces engagement signals, flags quiet deals early, and guides action with timing and intent — not noise.

That’s how strong pipelines stay healthy.

Sales training doesn’t fail because teams don’t learn.
It fails because it doesn’t show up when pressure does.

In this episode of AI4Sales Edge, Jelena breaks down why workshops, slide decks, and annual training programs don’t translate into performance — and how AI is redefining sales coaching by training reps while deals are live.

Instead of memorising playbooks, top teams now:

• Practice real objections before meetings
• Train under simulated deal pressure
• Get coaching in the flow of selling
• Build readiness, not attendance

Featuring real examples from Zoom, SAP, and Check Point Software, this episode explains how AI coaching platforms turn practice into performance — and pressure into precision.

🎯 Bottom line:
AI doesn’t train teams.
It builds closers.

If you care about how reps perform when it matters, this episode is for you.

Why do so many organisations struggle to scale AI adoption, even after running successful pilots?

In this episode of AI4Sales Edge, Jelena sits down with Moussa Baidas, Partner and AI Go-To-Market Leader at PwC Middle East, to unpack what really blocks AI from moving beyond experimentation into real organisational impact.

This conversation goes beyond tools and trends.
It explores how AI changes operating models, decision-making, and execution — and why most organisations treat AI as an add-on instead of redesigning how work actually gets done.

In this episode, you’ll hear:

· Why AI adoption often stalls at the pilot stage

· The difference between adding AI and designing organisations with AI

· Why readiness, ownership, and leadership decisions matter more than technology

· How AI champions often emerge from unexpected roles, not just IT teams

· Why AI upskilling is driven by experimentation, not training

· What human-led, tech-powered organisations look like in practice

· How agentic AI is reshaping productivity and scale

This episode is for leaders asking:
Why isn’t our AI adoption scaling — and what actually needs to change?

AI4Sales Edge is a platform focused on real conversations about AI, leadership, and execution — with real stories, real results, and no fluff.

00:00 Introduction
02:09 Designing With AI vs Adding AI as Add on
04:13 Where AI Adoption Should Start
06:04 Skills, Disruption & Who Adopts First
08:55 Champions as Catalysts
10:25 Upskilling & AI Fluency
11:50 Dreamers vs Doers: The Structural Gap
14:00 What Leaders Should Ask Before Scaling
18:19 Asking AI Bigger Questions
22:00 Call Centers & Augmentation
26:41 The Agentic Era
28:36 What Success Looks Like in Practice
31:02 Where the Real Disruption Will Come From
32:25 Why the Middle East Can Move Faster
33:24 Gaps to Close for Regional Acceleration
36:04 Why Organisations Start With AI
39:18 Ecosystems, Startups & Skin-in-the-Game
42:31 Closing

AI spots risk before your team feels it.

~32% fewer slipped deals.
~30% growth.

Because risk shows up in signals long before it shows up in results.

Revenue intelligence doesn’t replace judgment —
it gives leaders visibility early enough to act.

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.

The most dangerous part of your pipeline isn’t rejection — it’s silence.

Strong discovery. Clear alignment.
And then the deal goes quiet.

That silence isn’t random.
It’s a signal most teams miss — and AI catches early.

This is how modern sales teams protect revenue without chasing ghosts.

Your biggest sales enemy isn’t pricing or objections.
It’s admin.

AI tools like Copilot and Gong are giving top sellers back 10–20 hours a week — without hiring anyone new.

This is how sales teams take control of revenue again.

#AI4SalesEdge #AIinSales #SalesLeadership #RevenueExecution

CFOs don’t need more headcount.
They need more selling hours.

AI can unlock up to 30% more sales time by removing admin work from top performers.

That’s not automation. That’s strategy.