Bryan Kramer, President & Co-Owner, PureMatter • Eri Georgiev and Rohaan Khan, Co-Founders, Sorn AI
| Episode Type | The Salon · Machine vs. Human Debate |
| Guests | Bryan Kramer, President & Co-Owner, PureMatter (human view); Eri Georgiev, Co-Founder, Sorn AI, and Rohaan Khan, Co-Founder, Sorn AI (machine view) |
| Guest Website | bryankramer.com | Sorn AI |
| Listen | View on Sales POP! Podcast Page |
Episode Overview
Will AI agents replace the salesperson? The first episode of The Salon, a new Sales POP! debate series, puts that question to two sides. Eri Georgiev and Rohaan Khan, co-founders of Sorn AI, argue the machine view: agentic commerce, instant response and memory at scale will shrink the frontline sales role.
Bryan Kramer, President and Co-Owner of PureMatter and author of Human to Human: H2H, argues the human view. Buyers now arrive informed, committees need someone who speaks up, and someone must own the outcome when AI gets it wrong. Both sides finish on common ground.
Key Insights
1. Agentic commerce and the shrinking frontline role
Eri Georgiev opened the machine case with agentic commerce: AI agents that hold a consumer’s wallet and buy on the consumer’s behalf. Today these agents buy small items such as toothbrushes and shoes. As trust grows, he expects the purchases to grow too, up to cars. He still sees humans in the very largest deals, but he believes most commerce will run through agents. In his view, that shift will cut the salesperson’s function sharply and move the stakes of each decision up to company leaders.
2. Speed to lead and customer memory at scale
Rohaan Khan framed AI as an amplifier, not a replacement for his whole team. He wants senior leaders, such as a head of sales with 15 to 20 years of experience, free of admin and repetitive work. At the front line, he pointed to speed to lead: a rep on a break can miss a lead for an hour, while an AI system responds within minutes. AI also keeps every logged detail about every prospect, which a rep handling hundreds of calls a month cannot do.
3. How the informed buyer changes the rep’s job
Bryan Kramer asked listeners to picture the buyer the night before a first call. That buyer asks ChatGPT, Claude or Grok to compare you with three competitors and walks in knowing features, pricing and reviews. A rep who reads the deck aloud adds nothing. Kramer added that buyers still go back to a human to check what the AI told them, because they cannot tell when it is wrong. The rep now explains what the choice means for this buyer: their boss, their budget fight and the cost to the company if the project fails.
4. Buying committees and the voice that breaks the silence
Kramer argued that a single buyer is rare. Most deals involve a committee, and members often agree with each other because few of them have the full context. In his view, one person who speaks up can change what the whole room decides. The frontline salesperson hears customer pain points first, so that person can be the voice. Cut the salesperson out, Kramer warned, and the company loses its frontline knowledge. In his view, an AI agent takes no risk and has no skin in the game.
5. Accountability when AI gets it wrong
Kramer’s last point concerned ownership. He told the story of Jake Moffatt, whom an Air Canada chatbot promised a bereavement discount that the real policy did not allow. Air Canada had to honor its chatbot’s words over a claim of about $800. Kramer asked listeners to picture the same failure in a seven-figure deal. Georgiev answered that ownership will shift upward to leaders, and Khan noted that tired humans make costly mistakes too. Both sides agreed: AI can take lower-level work, while high-stakes deals still need people.
Pull Quotes
AI didn’t make selling harder. I think it just made fake selling impossible.
— Bryan Kramer
The AI gave them answers, but the AI did not give them confidence in buying.
— Bryan Kramer
Commerce is only going one way and it’s gonna be agentic.
— Eri Georgiev
Their time should not be wasted with admin stuff.
— Rohaan Khan
AI Agents in Sales: Key Statistics from The Salon Debate
| Statistic | Detail |
|---|---|
| Minutes vs. hours | An AI system replies to a new lead within minutes; a lead can wait an hour or more while a rep is away (Rohaan Khan) |
| Hundreds | Sales calls per month that some of Rohaan Khan’s teams handle, more than any rep can remember in detail |
| 3 competitors | Rivals a buyer asks AI to compare you against the night before a first call (Bryan Kramer) |
| About $800 | Amount at stake in the Air Canada chatbot case, where the airline had to honor its bot’s promise |
| 90 days | Window in which the Air Canada chatbot said the bereavement discount could be claimed |
| 15–20 years | Experience of a typical head of sales whose time, Rohaan Khan argued, should not go to admin |
| 100+ | AI agents and sub-agents Bryan Kramer runs every day |
Related Resources
- Book Bryan Kramer for a keynote or coaching session
- Talk with Sorn AI about AI agents for sales
- Sales POP! Podcast: salespop.net/media/podcast/
- Coevera: coevera.com




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