The real tension in this conversation is that sales teams are being asked to use more tools while customers, suppliers, and markets are becoming harder to navigate. More information does not automatically create better decisions or better customer conversations.

For sales leaders, manufacturers’ representatives, and managers of technical teams, the question is how to build enough shared process and capability that people can use new tools without losing judgment, curiosity, or trust.

The leadership question is:

How do you prepare people to use AI well before you ask AI to accelerate the work?

If leaders skip the training, operating rhythm, and review loops, the organization may produce more activity without creating better customer value.

Growth requires people to move beyond the comfort zone

Brooks describes growth as something that happens when people push themselves into unfamiliar situations and learn from the experience. In sales, that can mean calling someone who does not know you, learning to speak in front of a group, or taking on a leadership role after being a peer.

The practical lesson is not to remove every uncomfortable moment. It is to help people move through it with enough support and reflection to improve.

Sales training needs a shared operating standard

MFC Group already received plenty of product training from suppliers, but that did not cover the sales skills and processes the organization needed as it expanded. The company created a shared minimum standard through skills training, process training, homework, quizzes, and manager reinforcement.

That structure gave experienced salespeople useful reminders and gave newer employees a clearer way to build capability. It also became a differentiator with principal partners because the training was part of how MFC Group operated, not a one-time event.

AI can reduce preparation friction

Brooks explains how MFC Group is using AI with new college graduates to research accounts, identify contacts, estimate TAM and SAM, assess fit, and connect a line card to likely applications and engineering teams.

Compared with the old model of handing a new salesperson large data books and asking them to make 25 calls a week, the new approach gives people a more focused plan of attack. AI prepares the work. The salesperson still has to validate the information, ask good questions, and build the relationship.

Leaders need honest feedback, not only encouragement

Brooks reflects on the transition from being a peer to becoming a manager. Earlier in his management career, he gave too much praise and was not direct enough about areas for improvement. Over time, he learned that delaying a difficult conversation usually makes the problem harder to address.

For managers, the useful move is to make feedback timely, honest, and constructive while still recognizing strong work.

AI prepares the work. People make the judgment

Sannah brings the conversation back to the human role in AI-supported sales work. AI can help research accounts, organize information, and reduce preparation friction, but it cannot replace the expertise of the person leading the customer conversation.

For technical sales teams, the last mile still depends on judgment. Someone has to understand the customer’s situation, test whether the information is relevant, ask the next useful question, and connect the right product or solution to the real need.

Early adopters help organizations test before scaling

MFC Group uses an innovation committee and a group of early adopters to evaluate new tools. The team tests whether a calculator, analysis workflow, or AI application is robust enough before considering broader adoption.

This creates a practical bridge between experimentation and operating discipline. New tools have to prove that they improve the work, support the sales team, and produce information that can be trusted.

• [00:00] Growth, discomfort, and keeping salespeople in front of customer
• [03:05] Why the manufacturers’ rep role is becoming more valuabl
• [05:34] Brooks’ path from electrical engineering to sales leadershi
• [11:17] Moving from field sales into organizational leadershi
• [17:00] Building a shared sales training and onboarding proces
• [22:21] Using AI to research accounts and prepare new salespeopl
• [27:37] Data quality, early adopters, and testing AI tool
• [29:58] Learning from peers instead of reinventing everythin
• [32:25] Feedback, recognition, and leading former peer
• [35:06] Authenticity, transparency, and patienc
• [37:03] Leading through shortage, excess, and market swing
• [42:01] How leaders know whether they are leading wel
• [44:00] Culture, listening, and using talented people wel
• [47:51] Closing thought
• [48:11] Host reflection and closing

• • Sales leaders building capability across a growing organization
  • Manufacturers’ representative leaders working across regions and product lines
  • Managers onboarding early-career salespeople
  • Technical sales teams using AI for customer and market research
  • Leaders balancing supplier expectations with customer relationships
  • Managers learning how to give clearer and more timely feedback

• • Build a shared minimum standard for sales skills and processes as your organization grows
  • Design onboarding that combines skills training, process training, practice, quizzes, and manager reinforcement
  • Use AI to research accounts, identify contacts, estimate TAM and SAM, and assess product fit
  • Keep human judgment and customer understanding at the center of AI-supported sales preparation
  • Test new AI tools with early adopters before rolling them out across the organization
  • Give feedback early, clearly, and constructively before a problem becomes harder to address
  • Help salespeople move through uncomfortable situations with the support and practice they need to improve