Sales leaders are spending tens of thousands on “AI-powered” tools without really knowing what they’re buying. In this episode, Sean cuts through the hype and explains—in plain sales terms—what machine learning, natural language processing, and large language models actually do. You’ll learn how these technologies apply directly to sales, how to avoid costly mistakes with vendors, and how to become a more strategic buyer of AI solutions. This is your crash course in understanding AI without the jargon.

Major Highlights

• Why sales leaders overspend on misunderstood “AI-powered” tools

• Practical definitions of ML, NLP, and LLMs—explained in sales-friendly language

• Real-world sales applications: lead scoring, deal risk analysis, call coaching, personalized outreach, and proposal generation

• Case studies showing measurable impact from AI adoption in sales teams

• How the three technologies work together for maximum impact in the sales process

• Common misconceptions about AI in sales and the reality behind them

• A vendor evaluation framework: the right questions to ask before you buy

Action Items for This Month

1. Audit your current sales tools – Identify which AI technologies you’re already using.
2. Use the vendor framework – Apply the evaluation questions before purchasing or renewing AI tools.
3. Educate your sales team – Share today’s definitions of ML, NLP, and LLMs with your reps.
4. Get peer insights – Learn how other professionals are applying AI successfully by joining B2B Sales Lab.

Join the B2B Sales Lab

B2B Sales Lab is a private, member-led community for sales professionals who want actionable insights, not theory. It’s where you can ask real questions, share proven practices, and connect with peers serious about improving revenue performance. Designed and led by veteran sales leaders, the Lab is where strategy meets execution. Join today and claim your 90-day free membership at b2b-sales-lab.com.