In this episode, Kyle Hall and Kyle Gotzman discuss the current state of AI adoption in mid-market and enterprise companies. While a majority of organizations report implementing AI, only a small percentage are realizing meaningful results. The conversation explores why that gap exists and what companies can do to close it.

Topics include:

• Why AI isn’t delivering results for many companies

• The importance of foundational practices, clean data, and strong processes

• AI as an efficiency multiplier, not a replacement for discipline

• Lessons from cloud and CRM adoption cycles

• How successful companies approach onboarding AI tools and agents

• The role of people, process, and culture in driving ROI from AI

This episode offers practical insights for IT and business leaders looking to get value from AI investments.

Timestamps:
(01:15) AI adoption stats: High usage, low realized value
(03:00) Why this is the same hype cycle as cloud
(04:45) AI as an amplifier: It won’t fix bad practices
(06:00) The “AI agent” myth vs. what success really takes
(07:30) Onboarding AI like an employee: Train, QA, repeat
(08:45) People, process, and culture > tool
(10:00) CRM analogy: Same tool, different outcomes
(11:15) The ab roller story: Tools don’t replace discipline
(12:00) Cloud migration flashback: basics still matter
(13:30) Indicators of AI success: Who was doing it the hard way before?
(14:30) Why AI shouldn’t be your “tip of the spear”
(15:30) Final thoughts: ROI lives in the fundamentals