Scaling Agentic Automation With Open Architecture - with Arun Chandra of NICE

Bridging the gap between AI pilots and full-scale enterprise production requires rigorous operational discipline, clean data, and clear organizational context. While many enterprises ship agentic AI, most fail to move beyond initial testing because they lack the necessary backend connectivity and strategic alignment with financial objectives. Success hinges on treating AI implementation as a general management challenge rather than a purely technical one, ensuring that every deployment directly impacts the P&L through either revenue growth or hard cost savings. Leaders should prioritize complex, high-impact use cases to surface systemic bottlenecks early, rather than focusing on simple, isolated experiments. Arun Chandra, COO at NiceCognitive, emphasizes that effective scaling demands a shift in workforce roles and a commitment to interdisciplinary collaboration, ultimately transforming AI into a foundational operating system for the enterprise.