Frequently Asked Questions

Everything you need to know about our AI training for sales teams.

How do I know if we have the "sporadic usage problem"?

You have it if your team is already using AI tools like ChatGPT or Claude individually, but everyone has their own approach and results are inconsistent. Observable signals: company Slack has AI channels with sporadic activity, leadership mentions "our team is playing with AI but...", you hear anecdotal success stories but can't replicate them, and you have no shared prompt libraries or frameworks. If your team hasn't started using AI yet, you need awareness training first - not this program.

What if our team hasn't started using AI yet?

Then this training isn't the right fit yet. This program is specifically designed for teams stuck between individual experimentation and systematic adoption. If your team hasn't started experimenting with AI tools, you need awareness and introduction first. Contact us and we can help you determine what your team needs to get started.

We've already done AI training. Why would this be different?

Most AI training teaches features but doesn't solve the sporadic usage problem. Your team leaves excited, tries some things, then everyone goes back to their own approaches with no shared frameworks. We focus specifically on the transition from individual experimentation to systematic team capability - building shared prompt libraries, institutional knowledge, and frameworks that every rep can leverage. The 4-week format creates behavior change, not just awareness.

What's the difference between sporadic and systematic AI usage?

Sporadic usage: Everyone invents their own prompts, knowledge lives in individual ChatGPT accounts, you can't replicate wins, managers encourage usage but don't model it, and adoption drops after initial enthusiasm. Systematic usage: Shared prompt libraries everyone can leverage, institutional knowledge in team Projects, frameworks that work for everyone, managers demonstrate their usage, and AI becomes embedded in daily workflows. This training helps you make that transition.

Why not just do this in one intensive day?

Because information isn't transformation. Behavior change requires 21-28 days of practice. Our 4-week format provides the repetition, accountability, and integration time needed to build real habits that drive revenue—not just awareness.

How much time commitment between sessions?

Plan for 2-3 hours per week applying AI to your actual work. This isn't homework—it's doing your real job with new AI-powered approaches tailored to your specific workflows.

What ROI can we expect?

Sales teams typically save 5-10 hours per week per person (redirected to high-value activities like calls and relationship building), accelerate deal velocity by 20-30%, and improve win rates through better preparation and strategic coaching. Most see ROI within the first month through time savings alone - before the revenue impact from faster deals and higher close rates.

What exactly is the Momentum Program?

It's our optional quarterly support program for teams that want to maintain momentum. For $1,500 per quarter, you get monthly office hours, email support, and updates on the latest AI developments. Add quarterly skills workshops for $500 each. About 60% of our clients choose to continue with it.

Is the Momentum Program required?

No, it's completely optional. The 4-week program stands alone as complete training. The Momentum Program is for teams wanting continued advancement and support as AI capabilities evolve.

Still have questions?

Let's talk about your team and what you're trying to achieve.

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Explore Our Training Programs

Sales

AI Training for Sales Teams

Transform sporadic AI usage into systematic team capability. Four weekly sessions teaching your sales team to build AI workflows that accelerate deals, improve research, and drive consistent results. Hands-on training with real scenarios, not generic theory.

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Sales Leadership

Scaling AI for Sales Managers

90-minute session for sales leaders driving AI adoption. Learn how to move your team from individual experimentation to systematic capability, what actually drives adoption, and how to build frameworks that scale wins across your team.

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