Anyone can demo AI. Running a business on it is the hard part. That is my work.
In production every day, approving, predicting, talking to customers, in industries where mistakes are expensive.
16 years · 5 industries · 2 AI organisations built from zero
Virendra Pal
DisclaimerCreated for anyone, individual or organisation, seeking guidance in AI and automation.
The Pattern
Six AI categories, each shipped in production years before the market had a name for it. That is not luck; it is a read on where AI is going next, formed inside regulated businesses where mistakes are expensive.
Vision
AI is moving from something you operate to something that operates for you. The next decade belongs to organisations whose systems can anticipate, simulate a decision before making it, and improve themselves in production. Advantage will not come from better models. It will come from the architecture around them: the decisions they are allowed to make, the controls around those decisions, and the trust they earn in the real world.
Expertise
Applied across lending, insurance, wealth, retail and pharma.
Research Interests
- Reward architecture: learning loops that turn live production signal into continuously improving models.
- World models and simulation-first decisioning: agents that rehearse a decision before they act.
- Self-reflective agents that learn between episodes, not only during them.
- Speech stacks for Indian-context conversational AI: prosody, turn-taking, code-mixed language.
- Evaluation built from production traffic rather than public benchmarks.
Guidance
Sixteen years of building AI inside regulated businesses taught me lessons that do not fit in a post.
If you are wrestling with an AI question, what to build, what to trust, how to grow in this field, I am glad to share what I have learned. Substantive questions get substantive answers.
Write to me