Data sovereignty in India: the case for keeping inference in-country
For regulated Indian enterprises, it increasingly matters not just what an AI model does but where it runs. Here is a grounded…
humaineeti contributor
Tag: Enterprise AI
humaineeti contributor
Naming an AI company when every good word is already taken
Naming an AI company in 2026 means fighting for space in the most crowded naming category in tech. A short, honest case…
humaineeti contributor
One smart agent will not save you: why orchestration is the real moat
Models keep getting better and cheaper. What does not commoditise is deciding which agent acts, in what order, with which permissions. In…
humaineeti contributor
The new enterprise MCP spec moves the hard part onto your plate
MCP is going stateless and cloud-native with the 2026-07-28 release. That makes enterprise-scale agents possible, and it hands authentication, authorization and transport…
humaineeti contributor
AI agent evaluation: why the final answer is not enough
Grading an agent only on its final answer misses most of what can go wrong. Real AI agent evaluation looks at the…
humaineeti contributor
Evaluation as a service: should you build your eval stack or buy it?
Every team shipping LLM features eventually needs a real evaluation setup. The build versus buy question for evaluation as a service is…
humaineeti contributor
When DPDP meets agentic AI: consent stops being a checkbox
India's data protection rules are arriving just as enterprises hand real decisions to autonomous agents. That collision turns consent, purpose limitation and…
humaineeti contributor