Revenue Rascals Podcast

How to Use AI the Right Way for Growth | The Enablement Model for 2026

March 12, 20266 min read

"AI is not the strategy, execution is, like it's always been. But now AI is here to support execution in a brand new, powerful way that you're going to want to lock in." -Michelle Terpstra

Are traditional sales training methods failing your team? Wondering how to keep your reps motivated and performing in a world that's changing faster than ever? You're not alone. The days of one-and-done training sessions are over, and the smart move now is leveraging AI to transform your sales enablement. In this post, I’ll unpack why old models don’t work anymore, how AI can support sustainable skill development, and practical steps to implement AI-driven sales coaching effectively.

With the rapid evolution of sales technology, understanding how to combine human expertise with AI tools will be the difference between stuck teams and high performers. If you're a sales leader, founder, or revenue executive serious about scaling success, read on to discover how to do sales training right in 2024.

How AI Is Reshaping Sales Training: The Future of Effective Sales Enablement in 2024

Why Traditional Sales Training Fails in the Modern World

For years, sales training has followed a predictable pattern: intensive sessions, playbooks, and LMS modules. After a few days, reps head back to their routines, often forgetting most of what they learned within months. But this approach is increasingly ineffective because the sales environment constantly shifts.

The Problem with Static Training Models

Outdated Playbooks: Reps review PDFs that aren’t accessible during live calls. They forget key points when it matters most. Limited Coaching: Managers can't listen to every call or provide continuous feedback, so skill gaps persist. Frequent Updates, Few Results: Updating training materials every two weeks is impractical—facilitators can't keep pace, and reps resist relearning constantly.

As Michelle Terpstra highlights, "Training alone is obsolete." Instead, success lies in continuous, real-time execution support powered by AI that reinforces learning and adjusts instantly to new challenges.

The Shift: From Static Playbooks to AI-Enabled, On-Demand Coaching

Imagine a world where sales training is personalized, immediate, and integrated into daily workflows. That’s where AI comes in. It transforms static tools into dynamic coaching engines, helping reps analyze their calls, craft better responses, and close deals more effectively.

Key 1: Building a Foundation of Customized Learning

Lessons and Frameworks: Tailored to your organization’s sales process (Challenger, Bant, Medic, etc.) Primed AI Models: Programming your AI with your sales frameworks ensures consistent messaging and behaviors

Key 2: Embedding AI into the Sales Process

Real-time deal analysis and objection handling prompts Guided follow-ups and deal momentum strategies Self-coaching prompts that empower reps to learn without threatening ego

Michelle advocates for a hybrid training approach: six weeks of virtual, instructor-led training with AI prompts, followed by in-person role plays. "This method emphasizes behavior change, not just knowledge," she notes.

How to Use AI to Reinforce, Not Replace, Fundamental Sales Skills

  1. Invest in Quality Lessons and Frameworks

Customize training content for your business; avoid generic copy-paste solutions Use a platform like Accelerate for collaboration and tracking progress

  1. Prime Your AI with Your Sales Frameworks

Upload core lessons and processes into your AI tools Create "gems" or specialized prompts tailored to your sales model

  1. Integrate AI Prompts That Reinforce Learning

Pair lessons with prompts for e.g., "Create objection responses using our ABP model" Use prompts for follow-up, deal risk scans, and call debriefs Keep prompting consistent to reinforce behaviors and identify gaps

Michelle emphasizes: “Your AI should be a coach, not a crutch. It supports the fundamentals and helps reps analyze their own calls and improve proactively.”

  1. Monitor and Prevent Over-Reliance

Train reps to analyze AI output critically, not just copy responses Regularly audit AI prompts and outputs to prevent bad habits Encourage self-coaching, especially for sensitive areas like objections or decision maker validation

The Risks of Ignoring Proper AI Integration

Misusing AI can lead to worse outcomes. If reps and managers rely on generic prompts or poorly configured models, they risk reinforcing unethical behaviors or diminishing sales quality. Key pitfalls include:

Generic Prompts = Generic Sellers: Without customization, AI produces inconsistent advice Loss of Curiosity and Critical Thinking: Over-reliance kills strategic thinking Unethical Practices: Rogue AI responses could push reps toward unethical tactics Behavioral Regression: Bad AI suggestions can entrench bad habits, harming conversions

Michelle warns: “You must design your AI processes intentionally to support ethical, compliant selling. Otherwise, you risk creating a culture of generic, unthinking sales behaviors.”

Actionable Steps to Make AI a Sales Success in 2024

  1. Build a Robust Foundation

Develop clear, customized sales frameworks and lessons Upload them into your AI tools to prime your models

  1. Use the Right Prompts at the Right Stage

Pair lessons with prompts like objection handling or call analysis Encourage reps to review AI suggestions critically before acting

  1. Combine AI with Human Coaching

Use AI for real-time feedback but still hold in-person or live virtual role plays Reinforce original skills through deliberate practice

  1. Continuously Audit & Improve

Regularly review AI outputs and prompt effectiveness Adjust prompts based on performance and evolving sales strategies

Final Thoughts: The Future Is AI-Driven, Human-Focused

The integration of AI in sales training isn't just a trend, it's a necessity. When used correctly, AI transforms sales coaching from a repetitive, static process into a dynamic, personalized growth engine. The secret is in blending foundational training, strategic prompts, and ongoing coaching.

Remember: AI should coach, not close. The most successful teams will be those that empower their reps to analyze their own calls, think critically, and apply lessons in real-time. If you’re ready to scale skill and performance, now’s the time to embrace AI thoughtfully.

For tailored support, I invite you to book a consultation or download my free prompts guide linked below. Let’s build a future where sales teams not only meet quotas but excel through intelligent, continuous learning.

Michelle shares a free resource with ready-to-use prompts, including frameworks, call assessments, objection handling, and deal risk scans. Download it to jump-start your AI-enabled sales program.

To gain complimentary access to ALL workbooks, scripts, and playbooks that Michelle discusses on the Revenue Rascals Podcast, fill out the form below. It's just a one-time sign up and SUPER easy.

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Frequently Asked Questions

Is AI replacing sales trainers entirely?

Not at all. AI enhances the trainer’s role by providing personalized, real-time coaching and reinforcing lessons, but human oversight and deliberate practice remain essential.

What’s the biggest mistake in integrating AI into sales training?

Using generic prompts or failing to customize AI tools to your sales process. This can produce inconsistent advice and worse behaviors.

How often should reps use AI prompts during the sales process?

Throughout the sales cycle: call debriefs, objection handling, post-call analysis, and follow-up planning. But always pair AI support with human oversight.

Do I need expensive AI tools to succeed?

No. Focus on customizing existing platforms with your frameworks and prompts. The real value is in how you design and use these tools, not how much you spend.

Summary

By integrating tailored AI prompts, customized frameworks, and ongoing coaching, sales leaders can ensure their teams stay sharp, ethical, and highly effective—brilliantly blending human expertise with artificial intelligence in 2024 and beyond.

Michelle Terpstra is a revenue strategist, fractional Chief Revenue Officer, and founder of Revenue Rascals. She helps founders, sales leaders, and high-performing teams build revenue engines that actually work.

With over 20 years of experience in sales, leadership, and business development, Michelle has led and trained thousands of sellers, built and scaled sales teams, and helped companies move from founder-led selling to repeatable, scalable growth. Her approach blends disciplined execution with relationship-driven selling, proving that sustainable revenue is built through clarity, accountability, and systems—not hype.

Through her writing and the Revenue Rascals podcast, Michelle shares practical, field-tested strategies on lead generation, sales leadership, execution, and building high-performance cultures without burnout.

Michelle Terpstra

Michelle Terpstra is a revenue strategist, fractional Chief Revenue Officer, and founder of Revenue Rascals. She helps founders, sales leaders, and high-performing teams build revenue engines that actually work. With over 20 years of experience in sales, leadership, and business development, Michelle has led and trained thousands of sellers, built and scaled sales teams, and helped companies move from founder-led selling to repeatable, scalable growth. Her approach blends disciplined execution with relationship-driven selling, proving that sustainable revenue is built through clarity, accountability, and systems—not hype. Through her writing and the Revenue Rascals podcast, Michelle shares practical, field-tested strategies on lead generation, sales leadership, execution, and building high-performance cultures without burnout.

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