Sales teams have never had more information at their fingertips. They also have never had more trouble closing. That is the central problem Patti Schutte keeps hearing on recorded calls, and she says artificial intelligence is making it worse in many cases.
Why are sales deals stalling despite more AI data?
Schutte, founder of Be Brilliant Presentation Group and creator of the Resultations Method, has spent the past year listening to recorded sales calls across the enterprise teams she coaches. The pattern repeats. Salespeople come in with more research, more data and more AI-generated talking points than any generation before them, and the deals still stall.
“AI gives you information based on past data, and you are selling for future state,” Schutte said.
One of her clients recently noticed that its discovery calls had tripled. Closed deals had not moved at all. When Schutte reviewed the recordings, she found account managers who sounded like actors reading a script. Their content was accurate, she said, but it was lifeless.
“Just like somebody who memorized their movie script lines, they didn’t deliver the lines,” she said. “Instead, you’re tuning out because they’re dictating their lines without connection.”
In her view, the issue was not a lack of information. Many of these account managers had never internalized it. Schutte described internalizing as knowing something so well that it no longer needs to be looked up. A salesperson who has internalized a deal knows the prospect well enough to stay fluid when a conversation changes direction.
Knowing the deal
Schutte offered an example. A prospect brushed off a costly problem by saying the company had hired a full-time employee to handle it. A salesperson who understood the deal would catch that remark right away, point it out and dig deeper.
“You just told me you had to hire a full-time, 40-hour-a-week employee to solve this problem? That means it’s costing you hundreds and thousands of dollars on a regular basis,” Schutte said. “And so let’s dive into that a little bit more.”
Schutte calls these moments golden nuggets, the offhand comments that point to a real problem. In one recorded call, a prospect who had agreed to a meeting in exchange for free AirPods mentioned that the company was shrinking. That remark, she said, was the only nugget the prospect offered that could lead anywhere useful.
She is now helping one client turn a rigid script into a narrative with branches, built around a hypothesis about a major shift inside the prospect’s organization. AI can help draft that framework, she said, but the salesperson still has to know the deal and the prospect well enough to adapt.
The confidence to pivot
How can sales reps build the confidence to change course?
Knowing when to change course takes something Schutte says many teams are neglecting: confidence in their own judgment.
She sees this in coaching sessions. Salespeople who have all the facts they need still hesitate to ask questions, challenge assumptions or explore an unexpected answer. One representative told her that a question Schutte had suggested felt too aggressive.
“It wasn’t too aggressive; they just didn’t feel confident asking it without something or someone telling them it was okay first,” Schutte said. “That willingness to ask more questions, dive deeper, challenge the norm and go for it, I’m not seeing as much as I used to.”
The risk, Schutte said, is not AI itself. It is reps who depend so heavily on the right information and the right words that they lose the ability to steer a conversation without them.
The best salespeople she has worked with share one habit, she said. They show buyers the gap between where the company is now and what things look like once the solution is in place.
“AI can paint a picture of the future. Great salespeople make the buyer see themselves in it,” she said.
Schutte says that picture is where deals are won or lost. She often sees enterprise deals stall not because a competitor has a better product, but because the buyer never gains enough clarity or confidence to decide. Strong salespeople help buyers understand what the problem is costing them, what happens if nothing changes and what becomes possible after they act.
To build that judgment, Schutte often asks clients to write a short note after each call. The note covers what happened, what worked, what was missed and what the rep would do differently. The goal is to make account managers think for themselves rather than lean on AI-generated summaries.
One CEO who sits in on sales calls told Schutte that he can tell which salespeople are applying her coaching just by listening. Those reps, she said, are regularly posting better results and often become the top producers for the month or quarter.
Schutte is not arguing against AI. She believes it can make salespeople more prepared, more informed and more efficient. Preparation, though, is not the same as performance, and information is not the same as influence.
“AI can prepare a salesperson for a conversation,” the story’s central point runs. The human still has to turn that conversation into a decision.
Questo articolo è stato scritto con l'assistenza dell'IA.
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