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Practical AI · August 25, 2026 · 56m

AI Proficiency: From Users to Builders

Mike Lewis, Chief AI Architect at TiER1 Performance, joins Daniel Whitenack and Chris Benson to discuss a framework for organizational AI proficiency. The conversation centers on the L0–L3 model, moving from AI resistance to active building. They explore how non-technical employees can become AI builders, the importance of turning tacit knowledge into durable processes, and how to identify the right people and problems to drive measurable business value from AI.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Highlights

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The L0–L3 AI Proficiency Framework
Mike Lewis introduces a four-level framework for organizational AI adoption: L0 (Resistance), L1 (User), L2 (Builder), and L3 (Architect).
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Non-Technical Employees as AI Builders
Organizations should identify and empower non-technical employees to become AI builders, not just users.
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Tacit Knowledge into Durable Processes
A core value of AI building is converting tacit, unwritten organizational knowledge into durable, repeatable processes.

Editorial

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Addressing AI Resistance
AI resistance at the L0 level is a real barrier that organizations need to address thoughtfully rather than mandating adoption.
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Finding Measurable Business Value from AI
The goal of AI proficiency is not adoption for its own sake but measurable business outcomes.
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