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Most companies are excited about AI agents. Far fewer are ready to make them work.In this episode, Dan Gentry breaks down the gap between AI hype and real execution: why pilots feel easy, why scaling is hard, and why governance, guardrails, trust, data, and purpose are what separate useful AI systems from expensive experiments.The problem is not access to tools. It is not a shortage of ideas. The real challenge is building AI into the organization on purpose — with clear roles for machine work, protected space for human meaning work, and enough trust to let the system operate without someone constantly standing over its shoulder.If your company is exploring AI agents, this is the conversation to have before the rollout becomes just another disconnected pilot.Watch on YouTube: https://www.youtube.com/watch?v=zX8jEoiiDjo
By Daniel Gentry5
22 ratings
Most companies are excited about AI agents. Far fewer are ready to make them work.In this episode, Dan Gentry breaks down the gap between AI hype and real execution: why pilots feel easy, why scaling is hard, and why governance, guardrails, trust, data, and purpose are what separate useful AI systems from expensive experiments.The problem is not access to tools. It is not a shortage of ideas. The real challenge is building AI into the organization on purpose — with clear roles for machine work, protected space for human meaning work, and enough trust to let the system operate without someone constantly standing over its shoulder.If your company is exploring AI agents, this is the conversation to have before the rollout becomes just another disconnected pilot.Watch on YouTube: https://www.youtube.com/watch?v=zX8jEoiiDjo