Beyond the Prototype: Building Cost-Effective AI at Enterprise Scale

Abhijit Dey, Senior Vice President and Product Lead for AI and API Banking at Axis Bank joins Treblle team on a webinar, answering the question on everyones mind. How to ensure not only effectiveness, but also profitability of AI projects?

Description

85% of AI projects fail to move from lab to production (Gartner). It's the economics, not technical capabilities. API costs spiral, inference latency kills user adoption, and the infrastructure bill becomes due before a drop of revenue comes. Cost-effectiveness again takes the central stage, especially with rising popularity of headless API architecture. The things that start to matter are: how you structure API calls, where you cache, what you actually send to your LLM, and how you measure cost per transaction instead of cost per token. Abhijit Dey has been solving this problem at the intersection of AI and banking infrastructure. As Senior Vice President and Product Lead for AI and API Banking at Axis Bank, and author of the upcoming AI-Powered FinTech Product Management (Packt Publishing), he's spent years building AI systems that need to work under regulatory scrutiny, handle transaction volumes at scale, and justify their costs to finance teams.