With a data engineer career spanning telecom (AT&T) and global banking (Barclays), Monika brings a pragmatic perspective on what it really takes to move from experimentation to production-grade AI at massive scale for large enterprises. From embedding governance and control by design, to having process clarity and investing in AI literacy; from the importance of unified data to humans-in-the-loop; from creating custom metrics to measure real business value to using Evals and third parties to validate and build confidence; from managing tradeoffs like speed vs. security, scale vs. risk and to treat AI as infrastructure vs. getting stuck in POC-Mode. This is a masterclass in scaling AI capabilities that are reliable, governed, and adopted by the business.