Indian enterprises are embedding AI faster than almost anyone. Weak data, lagging governance and untouched operating models are turning that speed into an expensive illusion of progress.

Companies expanding GenAI across the enterprise use new structures like an “AI spine” to coordinate efforts.

Across Indian enterprises, AI pilots are multiplying — and stalling. The bottleneck is rarely the model. It is the organization that deployed it.

India’s enterprises are encrypting data against a threat they have already crossed. The window to act is not opening. It is closing.

From government offices to research labs, the 50 people deciding how AI gets built, deployed, and governed across India.

India’s AI adoption is ahead of schedule. Its accountability architecture is still catching up.

The introspective techniques of IFS psychotherapy can help executives lead with confidence.

Indian enterprises are deploying AI faster than most other countries. They are also struggling to show for it. The problem is not ambition. It is the foundations.

Organizations that resist the push to trade entry-level workers for AI may end up better off in the long term.

A massive, multiyear initiative to transform corporate data at Caterpillar demonstrates what top executives must do to unlock the power of their data assets.