Economics and capacity
Does the capability shift the binding constraint, or merely make a task faster?
Perspectives
AI matters when the work changes.
Enterprise value does not come from adding intelligence around the edges. It comes from changing how decisions are made, how work moves, where human judgment belongs, and how cost, capacity, risk, and experience are measured.
The questions underneath enterprise AI
Workflow and decision rights
Where does intelligence enter the work, what context does it use, and what authority does it have?
Governance and adoption
What evidence, boundaries, escalation, and behavioral change are required before the capability can scale?
When AI Does Not Change the Operating Model
AI has not changed the operating model when growth still depends on proportional headcount, manual coordination, and fragmented workflows. The more useful test is whether the binding constraint moved and the economics of work changed.
Also in Perspectives
Controlled Autonomy in Regulated Enterprises
Read →Featured media
Voice Is the Next Frontier of User Experience
A concise argument for voice as a faster, more contextual customer interface, with AI behind the interaction and voice biometrics and device context supporting secure service experiences.
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Watch video and transcript →Selected public conversations
Quantum Marketing Summit
Hosted Raja Rajamannar, CMO of Mastercard, for the IIM Bangalore Educational Foundation’s Quantum Marketing Summit.
Integrity & Ethics Conclave
Delivered a keynote on digital cooperation at the fifth Integrity & Ethics Conclave organized by Symbiosis Centre for Information Technology.
BHEL Sustainability and Circular Economy Conclave
Keynote speaker on Digital Transformation for Sustainable Innovations, drawing on global examples of ecosystems supporting sustainable business.
A serious conversation
Start with the operating question.
The most useful conversations begin with the mandate, the pressure the enterprise is under, and where value is failing to move.