In Part 2 of this Bottom Line on AI conversation, host Srividya Kannan continues her discussion with Meenakshi Chhajer, Global Digital Supply Chain Head at Dr. Reddy's Laboratories, on what it actually takes to make AI deliver inside large enterprises.

This episode goes deeper into the harder, less glamorous parts of enterprise AI. Meenakshi unpacks why DQ scores have become as critical as business KPIs, how unstructured data hidden in contracts, supplier AGMs and meeting recordings is opening up new value, and where AI is beginning to take over the manual effort of building common data models. She also shares Unilever's celebrated Sky and Shikhar programmes as examples of how customer centricity is being re-engineered with AI in the loop.

The conversation turns to people next. Drawing on the ADKAR framework, Meenakshi talks about why digital teams have to lead by example, how to identify champions of change inside business functions, and why customers and suppliers must be brought into the transformation story for it to stick. She closes with a five-year view: a 50% productivity lift in pharma R&D and manufacturing, hyper-personalisation deepening in CPG, AI-driven M&A reshaping the industry, and blockchain getting a second life in banking on the back of stronger compute.

Watch Part 2 now for a grounded look at the operating model, data and talent shifts that decide whether enterprise AI scales or stalls.