Sales Training AI Can Help Managers Coach. Here’s What It Should Be Coaching. by Brett Shively Managers don’t have time to coach I’ve spent 40 years in sales and 30 in training. In that time, I’ve watched training move from nine-pound binders to classrooms, virtual sessions and learning platforms. But nothing has changed how we work as fast as AI has in the past 12 months. Sales leadership and coaching are no exception. And they were already under strain. In Salesforce’s 2026 State of Sales report, 40% of sales professionals say their manager’s lack of time is an obstacle. 46% say they rarely get feedback on their sales conversations. And 52% say traditional enablement doesn’t give them the skills they need. Read those as a chain. Managers don’t have time, so sellers don’t get feedback, so training doesn’t stick. That isn’t a motivation problem. You can’t fix a time problem by asking managers to care more. AI is everywhere. It’s aimed at the wrong thing. So managers turn to AI to get time back, and that’s the right instinct. AI can listen to every call, run practice sessions at scale and give sellers instant feedback. No manager can do that alone. But look at where organizations are actually pointing it. Our research shows 58% use AI for practice and roleplay, and 57% for content creation. Only 24% use it for sustainment and reinforcement. In other words, AI is building skills. It isn’t making them stick. Think about the warning lights in your car: speeding, lane drift, a car in your blind spot. Each one changes what you do in the moment. Does it change how you drive? For most of us, no. Skills work the same way. Without reinforcement, they fade, and lasting change takes a shift in how sellers think. Mindset is what makes change stick Skillset is what a seller knows and can do. AI can support that. Mindset is what a seller believes, and it decides whether those skills get used when it counts. Sales leaders already know this. In research we conducted with the Sales Management Association across more than 200 sales organizations, 84% said seller mindset matters as much as or more than skills and product knowledge. Only 26% said they’re very effective at developing it. That gap is expensive. Organizations that are effective at developing their sales team’s mindset see 20% higher sales performance than the rest. Think about your own numbers: would 20% higher performance be meaningful? Most organizations are leaving it on the table. The five factors that predict sales results, and how AI helps managers coach them Seller mindset comes down to five factors. None of them show up on an activity report. All of them show up in conversation, which is exactly where AI can help a manager listen. 1. View of Selling: proud or ashamed? You’ll hear it as: “I don’t want to be pushy.” This seller believes selling is something you do to people. AI can flag apologetic or overly conciliatory language across every call. The manager’s job is to help that seller see selling as an honorable way to help customers. Training that aligns a seller’s view of selling with their personal values is linked to 7% higher sales performance. 2. View of Abilities: confident or insecure? You’ll hear it as: “I’ll need a SME on this call.” The seller doesn’t believe they belong in the room. AI can spot sellers who hand off conversations or avoid senior buyers. The manager uses that insight to build confidence through real wins. Confidence training is linked to 15% higher sales performance. 3. Values: aligned or just chasing a paycheck? You’ll hear it as: “That’s just how deals get done here.” Sellers are most effective when what they do matches what they value. AI can flag overselling, or giving up on conversations too quickly. The manager hires for culture and trains to the real value of what you sell. When values and behavior drift apart, sellers don’t complain. They leave. What does it cost you to onboard a salesperson? 4. Commitment to Activities: quantity or quality? You’ll hear it as: “I have to do 50 calls today.” Quality of activity beats quantity every time. AI can show which activities actually lead to wins, not just how many happened. The manager coaches the what and the why, so sellers aren’t just checking boxes. KPIs are one data point; outcomes are the real measure. 5. Belief in Product: do they see the value? You’ll hear it as: “Let me see what I can do on price.” Unprompted discounting is a confession that the seller doesn’t believe the value justifies the price. AI can surface customer outcomes and proof points that show the value. And the manager has to believe first: the teacher must believe before the student will. Training on belief in what is sold is linked to 17% higher sales performance. AI supports the coach. It doesn’t replace them. In the past, coaching meant sitting in on calls, reviewing the data and drawing conclusions from opinion and a few data points. With a full team of sellers, that was always a stretch. AI changes that. It can listen across every call and flag which factor looks low, so a manager spends scarce coaching time where it matters. But the purpose of AI is to amplify coaching, not replace it. AI can practice with sellers, spot patterns and reinforce skills between sessions. The conversation about why a factor is low, and anything that takes trust, still belongs to the manager. There’s a real risk in leaning on AI too much. In a 2025 study published in The Lancet Gastroenterology & Hepatology, doctors’ unassisted detection rate fell from 28% to 22% after three months of routine AI use. It’s a medical study, not a sales study, but the lesson applies: you lose the muscles you don’t routinely exercise. AI can process patterns, but only people can give them meaning. Four questions to ask any training partner If you’re evaluating sales training or AI coaching tools, here are four questions I’d ask any provider, including us: Does it change what your sellers do, or what they believe? What’s the evidence at 90 days? Who owns reinforcement after the workshop? What does the AI do that a general-purpose model doesn’t? Want to go deeper? Our whitepaper, 7 Must-Ask Questions When Evaluating a Sales Training Provider, gives you seven more. The work you do as sales and training leaders matters. Sales is one of the best paths to a strong career, and revenue is how every business grows. AI can help your managers coach. Make sure it’s coaching what matters. Share This Post: About the Author Brett Shively Chief Executive Officer Brett joined us as CEO in September of 2024. Brett is a proven leader at the executive level with an... 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Managers don’t have time to coach I’ve spent 40 years in sales and 30 in training. In that time, I’ve watched training move from nine-pound binders to classrooms, virtual sessions and learning platforms. But nothing has changed how we work as fast as AI has in the past 12 months. Sales leadership and coaching are no exception. And they were already under strain. In Salesforce’s 2026 State of Sales report, 40% of sales professionals say their manager’s lack of time is an obstacle. 46% say they rarely get feedback on their sales conversations. And 52% say traditional enablement doesn’t give them the skills they need. Read those as a chain. Managers don’t have time, so sellers don’t get feedback, so training doesn’t stick. That isn’t a motivation problem. You can’t fix a time problem by asking managers to care more. AI is everywhere. It’s aimed at the wrong thing. So managers turn to AI to get time back, and that’s the right instinct. AI can listen to every call, run practice sessions at scale and give sellers instant feedback. No manager can do that alone. But look at where organizations are actually pointing it. Our research shows 58% use AI for practice and roleplay, and 57% for content creation. Only 24% use it for sustainment and reinforcement. In other words, AI is building skills. It isn’t making them stick. Think about the warning lights in your car: speeding, lane drift, a car in your blind spot. Each one changes what you do in the moment. Does it change how you drive? For most of us, no. Skills work the same way. Without reinforcement, they fade, and lasting change takes a shift in how sellers think. Mindset is what makes change stick Skillset is what a seller knows and can do. AI can support that. Mindset is what a seller believes, and it decides whether those skills get used when it counts. Sales leaders already know this. In research we conducted with the Sales Management Association across more than 200 sales organizations, 84% said seller mindset matters as much as or more than skills and product knowledge. Only 26% said they’re very effective at developing it. That gap is expensive. Organizations that are effective at developing their sales team’s mindset see 20% higher sales performance than the rest. Think about your own numbers: would 20% higher performance be meaningful? Most organizations are leaving it on the table. The five factors that predict sales results, and how AI helps managers coach them Seller mindset comes down to five factors. None of them show up on an activity report. All of them show up in conversation, which is exactly where AI can help a manager listen. 1. View of Selling: proud or ashamed? You’ll hear it as: “I don’t want to be pushy.” This seller believes selling is something you do to people. AI can flag apologetic or overly conciliatory language across every call. The manager’s job is to help that seller see selling as an honorable way to help customers. Training that aligns a seller’s view of selling with their personal values is linked to 7% higher sales performance. 2. View of Abilities: confident or insecure? You’ll hear it as: “I’ll need a SME on this call.” The seller doesn’t believe they belong in the room. AI can spot sellers who hand off conversations or avoid senior buyers. The manager uses that insight to build confidence through real wins. Confidence training is linked to 15% higher sales performance. 3. Values: aligned or just chasing a paycheck? You’ll hear it as: “That’s just how deals get done here.” Sellers are most effective when what they do matches what they value. AI can flag overselling, or giving up on conversations too quickly. The manager hires for culture and trains to the real value of what you sell. When values and behavior drift apart, sellers don’t complain. They leave. What does it cost you to onboard a salesperson? 4. Commitment to Activities: quantity or quality? You’ll hear it as: “I have to do 50 calls today.” Quality of activity beats quantity every time. AI can show which activities actually lead to wins, not just how many happened. The manager coaches the what and the why, so sellers aren’t just checking boxes. KPIs are one data point; outcomes are the real measure. 5. Belief in Product: do they see the value? You’ll hear it as: “Let me see what I can do on price.” Unprompted discounting is a confession that the seller doesn’t believe the value justifies the price. AI can surface customer outcomes and proof points that show the value. And the manager has to believe first: the teacher must believe before the student will. Training on belief in what is sold is linked to 17% higher sales performance. AI supports the coach. It doesn’t replace them. In the past, coaching meant sitting in on calls, reviewing the data and drawing conclusions from opinion and a few data points. With a full team of sellers, that was always a stretch. AI changes that. It can listen across every call and flag which factor looks low, so a manager spends scarce coaching time where it matters. But the purpose of AI is to amplify coaching, not replace it. AI can practice with sellers, spot patterns and reinforce skills between sessions. The conversation about why a factor is low, and anything that takes trust, still belongs to the manager. There’s a real risk in leaning on AI too much. In a 2025 study published in The Lancet Gastroenterology & Hepatology, doctors’ unassisted detection rate fell from 28% to 22% after three months of routine AI use. It’s a medical study, not a sales study, but the lesson applies: you lose the muscles you don’t routinely exercise. AI can process patterns, but only people can give them meaning. Four questions to ask any training partner If you’re evaluating sales training or AI coaching tools, here are four questions I’d ask any provider, including us: Does it change what your sellers do, or what they believe? What’s the evidence at 90 days? Who owns reinforcement after the workshop? What does the AI do that a general-purpose model doesn’t? Want to go deeper? Our whitepaper, 7 Must-Ask Questions When Evaluating a Sales Training Provider, gives you seven more. The work you do as sales and training leaders matters. Sales is one of the best paths to a strong career, and revenue is how every business grows. AI can help your managers coach. Make sure it’s coaching what matters. Share This Post: About the Author Brett Shively Chief Executive Officer Brett joined us as CEO in September of 2024. Brett is a proven leader at the executive level with an...