The Insight Collective
The Insight Collective helps leaders understand why AI initiatives stall, fracture work, or create consequences no one planned for. We examine the technology, the organization, and the people affected as one connected system.
Organizations often treat AI failure as a model problem, an adoption problem, or a governance problem. In practice, these conditions reinforce one another. A technically capable system can still fail because the work was misunderstood, the incentives were misaligned, the evidence was weak, or the people closest to the consequences had no practical way to challenge it.
The Insight Collective examines those dependencies together.
AI inherits the incentives, structural divisions, information barriers, ownership conflicts, and operating weaknesses of the organization deploying it. Faster technology can accelerate those weaknesses rather than resolve them.
Adoption is not a communications problem or a prompt-training problem. People interpret AI through their experience of the work, their trust in leadership, the consequences of errors, and their ability to challenge decisions.
Models are only one part of the implementation. Data, integration, workflow design, controls, exceptions, observability, and operating support determine whether an AI capability can produce dependable results.
Technology follows the problem being solved.
Technology, work, organization, and people affect one another.
Formal process maps rarely capture exceptions, workarounds, incentives, or hidden dependencies.
Adoption, speed, and activity are weak substitutes for business outcomes, trust, quality, and risk.
The podcast is where the founders test ideas, challenge easy explanations, and connect organizational, workforce, and technical consequences.
Empire Building in the Age of AI
Tom Rieger and Brad Kaufman on what AI does to an organization that already has silos: it does not fix the dysfunction, it makes it faster. Decision rights, source-of-truth data, and the unwritten rules nobody remembers making.
Tom Rieger is the president of NBI Consulting and the author of Breaking the Fear Barrier. A former senior leader at Gallup, where he pioneered research on organizational barriers and change resistance, he is an expert in behavioral economics, competitive strategy, and organizational performance, with more than 25 years advising Fortune 500 companies, game studios, and government agencies.
Jason Greer is the founder and president of Greer Consulting, Inc., a labor management and employee relations consulting firm based in St. Louis. He holds an MSW from Washington University in St. Louis and a master's in labor and industrial relations from the University of Illinois, and is a co-author of People Matter Most and Bias, Racism & the Brain. He works directly with employees on workplace satisfaction and labor relations.
Brad Kaufman is the CTO and founder of Thoughtive, an AI consulting and implementation firm. He advises executive teams on enterprise AI strategy, enterprise architecture, AI governance and complex technology transformation, and has built and corrected the kinds of large distributed systems he advises on.
The Collective works with leaders responsible for AI value, operational performance, workforce impact, or program risk. We are most useful when an initiative looks technically plausible but remains difficult to adopt, scale, govern, or trust.
