Business constraint
What is actually limiting the outcome, and would AI move that constraint or only make one task faster?
Perspectives
AI matters when it changes the economics of work.
The interesting question is not what AI can do. It is where intelligence changes a constraint, a decision, a workflow, or the economics of the enterprise.
The questions underneath enterprise AI
Operating model
How must workflow, decision rights, roles, context, and human judgment change around the capability?
Evidence and control
What telemetry, boundaries, evaluation, adoption, and business measures prove the capability is safe and economically useful?
Why Enterprise AI Programs Fail Before They Start
The first AI decision should be economic, not technological. Start with the business constraint, then decide where AI can materially change the work.
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.