The hard part of enterprise AI is not AI
By Priti Sawant, Founder & CEO, JoulesToWatts
An AI system can write code, summarise a contract or flag a suspicious transaction in seconds. The harder questions begin after that: Who owns the decision? Who checks the output? Which part of the workflow changes? What happens when the system is wrong?
These questions are now practical, not theoretical, for Indian businesses and the global enterprises running increasingly strategic GCCs in India. Access to the technology is getting easier. The organisational change needed to use it well is not.
The hard part of enterprise AI is not deploying a model. It is redesigning the enterprise around what the model makes possible.
Many organisations are moving from AI pilots to broader rollouts, but a successful demo is a low bar. A model can reduce research time and still leave employees copying information across systems, waiting for approvals and unsure who is accountable. The...
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