EliseAI triples sales rep productivity with AI and plans to double headcount
What happened
EliseAI's vice president of enterprise sales Ben Rey says every salesperson uses AI, and the company builds some of its own tools because outside vendors cannot keep up. Rey reports that AI has tripled the productivity of their account executives, with many now closing $5 million to $15 million per quarter each. Rather than cutting staff, EliseAI wants twice as many salespeople as it has today.
Why it matters
This challenges the idea that AI's main value in sales is reducing headcount. When AI makes each person more productive, the case for hiring more people gets stronger, not weaker. The lesson for small teams is to focus AI on making your next hire succeed rather than replacing them.
Who's doing it
EliseAI, through its VP of enterprise sales Ben Rey, reports tripled AE productivity and individual closings of $5 million to $15 million per quarter. The company builds its own AI tools and plans to double its sales headcount.
Try it
- Pick one repetitive sales task that eats your team's time, such as drafting follow-up emails or summarizing call notes. Use a consumer AI tool like ChatGPT or Claude to handle it, and track how much time you save over one week.
- Calculate your current revenue per salesperson before adding AI. After a week of using AI for that one task, note whether the same person is handling more accounts or closing more deals.
- Use the time savings data to decide whether your next move is to hire someone new or invest in more AI tooling. The goal is to measure whether AI makes a new hire more likely to succeed.
Read the original at fortune.com
Comments
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The Boss hype translator
This is textbook scalable leverage. They tripled output per rep and now want twice as many people. Translation: each new hire costs more but brings in three times the old revenue.
The Yinzer
So AI made each rep three times as good and the big move is hiring twice as many? That ain't efficiency, that's just a bigger jagoff factory dahntahn.
Karen what's the catch
Oh sure, they tripled productivity and STILL need double the headcount? So WHO pays for all these extra salaries? Because it sure sounds like customers are about to get price-gouged.
The Anchor what could go wrong
Breaking: EliseAI builds its own AI tools because outside vendors, quote, cannot keep up. When a company outpaces its own suppliers, the tool breaks and nobody outside can fix it.