About Ramanova Labs
Useful. Governed. Repeatable.
We started Ramanova Labs because most AI programs fail from missing structure, not missing technology. A pilot that works in a demo often stalls because no one owns intake, no one has defined what "good" means, and no one can explain the system to a regulator. We build the structure first: an operating model, a governance baseline, and a way to validate output before it reaches a customer or a regulator. That is what lets AI scale instead of stalling.
Founder and principal
Abhishek Agrawal
Abhishek has 20+ years delivering enterprise platforms across insurance and financial services, with experience at Bloomberg, Ethos Life, and Capgemini, and has led intelligent automation and AI programs since 2017. Through Ramanova Labs, he leads AI Center of Excellence, governance, and agentic AI delivery work. He builds open tools for AI practitioners, including an AI capability maturity assessment.
MIT Professional Education (Leadership for the AI Age) · Duke University (Machine Learning Foundations) · DeepLearning.AI (Agentic AI) · XLRI (Business Management) · Professional Scrum Master
How we work
Every engagement is led by Abhishek. We work with a network of vetted partners, onshore and offshore, across architecture, data, security, and engineering, sized to each engagement. Partners work under the same confidentiality terms and quality standards, and every deliverable is reviewed by Abhishek before it reaches you.
What we do: CoE Launch, Governance Assessment, Use Case Discovery, Advisory Retainer, and AI Delivery.
Let's begin