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In this episode of PureLogics Pulse, host Amir Khan speaks with Russell Fradin, Co-Founder and CEO of Laradin, about what enterprise leaders must get right as AI adoption accelerates in 2026. The conversation focuses on what is actually happening inside organizations that are investing heavily in AI tools but struggling to measure real impact. Russell explains why the biggest risk today is not poor technology, but lack of visibility, uneven adoption, limited training, and unclear performance standards. He shares practical insights on tracking AI usage, closing the productivity gap between teams, managing shadow AI responsibly, and setting higher expectations as AI becomes part of daily work. 𝐒𝐡𝐨𝐰 𝐍𝐨𝐭𝐞𝐬 Many companies do not realize how many AI tools employees are already using across teams. Unmonitored AI usage creates governance concerns and limits learning opportunities. A small group of power users is seeing major productivity gains while others lag behind. The AI performance gap is mainly a training issue, not a hiring problem. Leaders should measure real outcomes such as output quality, speed, and business impact. Some AI tools will fail and should be cancelled if they do not show clear value. Successful tools should be expanded thoughtfully across departments. Blocking all shadow AI is less effective than tracking and understanding it. As AI increases capacity, expectations around performance and output will rise. Enterprise AI success depends on visibility, accountability, and structured adoption. #artificialintelligence #enterpriseai #aiadoption #digitaltransformation #techleadership #futureofwork #aiproductivity #enterprisetechnology #PureLogicsPulse 𝗙𝗼𝗹𝗹𝗼𝘄 𝘂𝘀! / purelogics-pulse https://creators.spotify.com/pod/prof... Visit our website: https://purelogics.com/purelogics-pulse/