In this episode of Next Frontiers of AI, host Scott Hebner is joined by Paul Chada, CEO of Doozer AI, to explore one of the most urgent questions in enterprise AI: What is the real state of agentic AI ROI, and where is it headed? As companies shift from foundational Generative AI to the ”golden age of AI Agents” and the super cycle of innovation it promises, the stakes are rising. Digital coworkers are no longer just creating content or automating repetitive tasks, but are actively involved in workflows, knowledge work, and decision-making processes. In this discussion, we share real-world lessons from AI agent deployments and present new findings from the Agentic AI Futures Index survey to illustrate how adoption is progressing, where plans are accelerating, and what the journey toward decision intelligence entails.
As businesses transition from simple task automation to digital labor transformation, AI agents are becoming true knowledge workers, assuming roles that involve reasoning, judgment, and decision-making. Although 90% of leaders agree that digital labor is inevitable, adoption remains inconsistent, and trust in autonomous AI is still fragile. The goal is a future where digital coworkers not only execute tasks but also help shape the very structure of work itself.
Paul offers valuable insights from deploying and selling AI agents in real-world settings, where success is judged not by pilots or proofs of concept but by tangible business results. We will examine the paradoxes of this era: why implementation lags even as confidence increases, how companies are bridging the 50% “trust gap” in reasoning and planning, and what the most advanced users are doing differently to achieve ROI at scale.
