AI Sales Coaching | Agentic AI Replacing Manual Feedback
summary
Early pilots show usage but no measurable business impact—10 beta pilots disengage rather than renew—so focus shifts from saving 15–20% time to generating revenue. Systems auto-tag leads, analyze hundreds of thousands of calls, extract top-performer patterns, and embed them in one-click agents that run in parallel. Reported results include 30–40% close-rate lift, 70% higher average ticket, 3x case acceptance and claims of 100x faster coaching; close rate becomes the north-star ROI metric.
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chapters (17)
- 0:00Introduction
- 1:06When to build AI agents
- 3:16Pilot pitfalls
- 4:42Three levels of AI value
- 7:14Efficiency trap in AI agents
- 9:47Hidden revenue with AI
- 13:00New revenue streams
- 15:36Five AI coach superpowers
- 17:21Best environments for AI agents
- 18:48Demo vs production AI
- 20:37Growth over accuracy
- 22:00Build right, not fast
- 23:09Overcoming AI resistance
- 25:35Q&A: Human vs AI decisions
- 27:03Q&A: Measuring coaching ROI
- 28:51Q&A: Controlling sales processes
- 30:14Closing remarks
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