Discovery calls built around question-based selling outsell technical pitches for a simple reason: a prospect who names their own problem out loud sells themselves on the fix. The five questions below are a version of that, tuned specifically for finding where AI actually pays for itself in a client’s business.
The 5-Question Discovery Script
Use these five questions in your next intro call. They are designed to move the conversation from “How much do you cost?” to “How much money can you save me?”
1. The “Repetition” Question: > “What is the one question your team has to answer ten times a day?”
- The Gap: This is where we plug in a RAG-powered Personal Shopper or an Internal Knowledge Agent.
2. The “Friction” Question:
“Where do you see the highest drop-off in your customer journey?”
- The Gap: Usually, it’s a slow contact form. This is your opening to pitch Voice AI Integration.
3. The “Bottleneck” Question:
“If you doubled your traffic tomorrow, what part of your business would break first?”
- The Gap: Usually, it’s support or onboarding. Perfect for an Adaptive LMS framework.
4. The “Leakage” Question:
“How many leads did you miss last month because your team was offline?”
- The Gap: This identifies the need for 24/7 Automated Newsrooms or Booking Agents.
5. The “Who Else” Question:
“Who else would need to sign off on something like this?”
- The Gap: This one isn’t about a specific AI feature, it’s about not losing the deal in week six because the real budget-holder was never in the room. Ask it early, before you’ve already built a proposal aimed at the wrong person.
Depth matters more than speed on these calls. A rushed 20-minute call tends to surface surface-level answers and closes at a fraction of the rate a longer, unhurried conversation does, the extra time is usually what gets a prospect from a vague complaint to a real, specific “Leakage” or “Bottleneck” answer you can actually price against.
Moving from “Hourly” to “Value-Based” Pricing
If you find a “Leakage” gap that is costing a client $50,000 a year in lost leads, charging $15,000 to fix it isn’t “expensive”—it’s a 300% ROI.
This isn’t a new idea. Ron Baker has spent decades arguing professional firms should sell intellectual capital, not time, and the same logic applies to AI project pricing: you’re not billing for the hours it takes to wire up an integration, you’re pricing what the fix is worth to the client. See how to sell “intelligence as a service” at scale for the bigger version of this pitch beyond a single project.
In your proposal, don’t list “hours worked.” List Expected Outcomes:
- Outcome: “Capture 20% of previously lost after-hours leads.”
- Outcome: “Reduce manual support tickets by 45%.”
Conclusion: Become the Solution Architect
The “AI Gap” is everywhere once you know how to look for it. By using this discovery script, you position yourself as a partner in their growth, rather than just another line item in their budget.
