AI in Production: What BFSI IT Teams Learned After Going Live
- How AI systems were integrated with core platforms and what had to be reengineered mid-way
- Data quality and pipeline gaps that slowed every deployment, and how teams fixed them
- Detecting and responding to model drift in a live, regulated BFSI environment
- What a regulatory audit of an AI system actually demands from the IT team
- The one technical decision every team would reverse and what they built instead






























