Beyond The Chatbot: Building The Data Foundation For Agentic AI

InnovationBeyond The Chatbot: Building The Data Foundation For Agentic AIBySerge Lucio,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 02, 2026, 11:45am EDTSerge Lucio is the VP and GM of Agile Operations Division, Broadcom Inc. getty​We're roughly halfway through 2026, and the enterprise outlook remains incredibly optimistic. Over the past few years, we've all experienced the rapid, growing adoption of AI. We've seen firsthand how it's challenging the status quo and fundamentally reshaping how large organizations operate.However, as businesses rush to capitalize on this transformation, a clear dividing line is emerging. Many organizations are taking an overly simplistic approach to the AI era by essentially slapping a chatbot on top of an existing user interface. While this might provide some incremental, surface-level value, it's not enough to realize the full, transformative benefits that AI can deliver.Truly unlocking the potential of AI is about enabling "agentic" models: deploying intelligent AI agents exactly where they sit in the workflow, armed with the right domain-specific intelligence. More importantly, it requires the right data. Simply put, AI without the right data doesn't work.To navigate this transformation effectively, enterprise leaders must pivot away from superficial AI wrappers and focus on two core imperatives:1. We must build systems that ensure the completeness, consistency and accuracy of our underlying data.2. We must deploy the right kind of agentic models that allow users to ask truly meaningful, complex business questions.When we look at the modern enterprise, this deep focus on data integrity and intelligent agents must extend across three critical operational pillars.1. Strategic Portfolio Management: From Silos To Synergy A primary push for many...