AI Insights.
Strategic thinking on AI adoption, intelligence architecture, and what it means to build seriously at scale.
Why Fragmentation Is Not a Feature Problem
Organisations do not accumulate dozens of AI tools because each new purchase fails to deliver. They accumulate them because the architecture was never designed to be unified. The problem is not in any individual tool. It is in the decision to buy tools rather than build infrastructure.
What Enterprise Readiness Actually Means
When a serious enterprise evaluates AI infrastructure, it is not asking whether the product works. It is asking whether the product was designed for the legal, governance, and operational context of an institution that cannot afford an error in its data or its decisions.
On Compound Intelligence
The argument for a single intelligence engine is not efficiency. It is compounding. What Orin learns from managing a sales pipeline informs how it reads a curriculum. What it learns from a thousand support conversations improves how it scores a candidate. This cross-workload learning does not happen when intelligence is siloed.
The Indian Enterprise Context
India is not a market to be localised into. It is a context so distinct — in its languages, its regulatory environment, and its enterprise culture — that intelligence infrastructure built for another context will always be insufficient here.