Session Title

From AI Experiments to Intelligent Flow: Reimagining How Products Are Built, Delivered & Led

Abstract

Most enterprises now have dozens of AI pilots and very few that changed how work actually flows. The gap is not model capability. It is that AI has been bolted onto the edges of product delivery rather than designed into the system of work itself. Drawing on production deployments across banking, insurance, telecom and consumer goods, this keynote lays out what separates organisations that scaled from those still demonstrating. It covers how to treat agents as team members with explicit roles, guardrails and observability rather than as tools; how flow principles from Kanban apply to AI assisted delivery, including where AI removes bottlenecks and where it quietly creates new ones; and what changes for leaders when discovery, build and operations compress into a continuous loop. Attendees will leave with a practical operating model for moving from experiments to intelligent flow, the governance and control points a regulated enterprise needs to do it safely, and the leadership decisions that determine whether AI becomes a capability or stays a demo.

Bio

Rajeev Barnwal is Chief Technology Officer (AI) at Synechron Technologies, where he leads the AI, ML Practice delivering production grade AI for global banks, insurers, telecoms and enterprises. He carries over 22 years across AI/ML, product and technology leadership, he has previously served as CTO of a BFSI company, Chief Autonomous and Cloud Officer at ESDS, and in senior roles at Tangerine Bank, MasterCard, Genpact and Anheuser Busch. His recent work spans multi agent systems for board governance, treasury and change intelligence agents, AI native banking, and speaker engagements with regulators including the RBI on AI driven credit. He is a TedEx speaker and writes regularly on applied AI on various platforms like LinkedIn and Medium. s.