Sandipan Bhaumik

Most AI initiatives fail not from lack of innovation, but from building solutions before defining success. This session introduces the Reverse Strategy Framework - a proven evaluation-first methodology that flips traditional AI development on its head. Instead of selecting tools first, the aduience will learn to define measurable outcomes, establish evaluation criteria, and architect autonomous systems that actually deliver business value at scale. Drawing from enterprise deployments across global organizations, we'll dissect why AI demos rarely translate to production and reveal the hidden debts - data, decision, and evaluation- that sabotage implementations. The audience leave with a concrete playbook for moving beyond proof-of-concepts to autonomous systems that transform operations, complete with frameworks for multi-agent orchestration, production observability, and ROI measurement that satisfies both technical teams and executive boards.