Beyond AI applications: Building enterprise intelligence that actually scales

Most AI initiatives stall because the organization around them stays the same. Tools get deployed, pilots launch, and dashboards multiply, yet decisions remain slow, costs stay opaque, and value is hard to prove.

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In this TBM Conference session, Konstantin Popov explains why enterprise intelligence emerges only when AI is embedded into the operating model itself. He walks through how connected decision flow, value visibility, and economic modeling create the foundation AI needs to support human judgment at scale.

You will see how enterprises move from siloed optimization to coordinated execution, where investments, work, and outcomes stay linked over time. And why that shift changes how leaders govern, prioritize, and act.

Fill out the form to watch the full session and see what changes when AI is designed into how the enterprise runs.