Unlocking Sales Productivity with Agentic AI

In this episode of The Tech Trek, Amir sits down with Andrew Levy, CEO and Co-founder of AirCover.ai, to explore how agentic AI is transforming the sales landscape. Andrew shares how AirCover builds real-time digital assistants that empower sales teams, the role of humans in AI-driven workflows, and how enterprises—both nimble and traditional—are adopting these tools to leap ahead. From change management to trust-building and the rise of “little language models,” this conversation unpacks what it really means to bring AI into the heart of go-to-market strategies.

🔑 Key Takeaways

1. Real-Time AI for Real-World Sales AirCover.ai builds AI agents that operate in real time alongside sales reps, surfacing the right information at the right moment, and helping teams scale more effectively with digital counterparts.

2. Scaling Expertise, Not Replacing Teams Rather than replacing humans, agentic AI amplifies expertise—like turning one sales engineer into six through virtual counterparts, unlocking growth, not cuts.

3. Human-in-the-Loop Is the Bridge Especially in regulated industries, “human-in-the-loop” AI design helps companies automate workflows while maintaining control, transparency, and trust.

4. Model Confidence Matters for Adoption Andrew emphasizes trust-building in AI by surfacing high-confidence data and leveraging behavior signals to continually improve user experience and relevance.

5. Little Language Models Are the Future Expect a shift from massive models to specialized ones—“little language models”—tailored per team or even per individual, making AI more personalized and effective.

⏱️ Timestamped Highlights

00:00 – Meet Andrew Levy

Intro to Andrew and AirCover.ai – building digital agents for live sales calls.

02:21 – The Origin of AirCover

Andrew shares the story behind the idea, influenced by challenges scaling sales enablement at VMware.

06:50 – Spotting the Market Gap

When tech and market timing intersect: how AI-native thinking unlocked new possibilities.

08:53 – Change Management From Day One

Why ease of use and seamless workflow integration were key in early product design.

11:26 – Enterprise AI Adoption Trends

Big companies are leapfrogging past previous tech gaps by going all-in on AI.

13:55 – AI as an Extension, Not a Replacement

How AI fills capability gaps without threatening job loss—and why that’s a key adoption driver.

16:47 – Agentic Workflows in Action

Examples of tasks AI handles autonomously vs. where human oversight is essential.

20:07 – Confidence, Trust, and Adoption

Andrew talks about how AirCover builds trust through transparency, high-confidence responses, and adaptive learning signals.

22:34 – The Shift to Smaller, Smarter Models

A peek into the near future of AI: narrow, task-specific models that are ultra-personalized.

23:24 – Final Thoughts & How to Connect

Andrew’s contact info and closing takeaways from Amir.

💬 Featured Quote

“This isn't about replacing your team with AI—it's about giving them superpowers. Imagine taking your best solution engineer and scaling their expertise across your entire team.”

— Andrew Levy, CEO of AirCover.ai