
Serge Lucio, VP and GM of Agile Operations at Broadcom, highlights that enterprises are moving beyond basic chatbots to deploy agentic AI models. These models require domain-specific intelligence and robust data integration to function effectively within workflows. Without the right data, agentic AI fails to deliver transformative value. As of 2026, organizations that adopt superficial AI, like chatbots, miss the full potential of AI. True agentic AI demands deep data foundations, enabling AI to act autonomously in business processes. This shift marks a critical pivot from surface-level to foundational AI implementation, emphasizing data quality and workflow integration as essential for enterprise AI success.
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Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
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