
The Deep View: Conversations #31 - Lessons in AI adoption from meetings with 587 C-suite leaders - Shibani Ahuja
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Feb 15, 2026 Shibani Ahuja, SVP of Enterprise IT Strategy at Salesforce and former banking exec, who met hundreds of C-suite leaders to advise on agentic AI. She discusses real blockers to enterprise AI adoption. She explains Salesforce’s Agentic Maturity Model, the shift from predictive to agentic AI, clear jargon-free communication, and practical rollout advice like starting small and measuring ROI.
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Customer Feedback Turned Job Offer
- Shibani joined Salesforce after giving unfiltered feedback as a customer and impressing the leadership team.
- That honest critique led to a mutual fit and her current role advising C-suite clients on AI strategy.
AI Is One Word Covering Many Things
- 'AI' groups many different technologies, causing confusion among leaders.
- Clarifying distinctions between predictive, generative, and agentic AI is essential for decision-making.
Start Small And Prove Value First
- Start agentic AI with a single, low-risk use case that helps colleagues and proves ROI.
- Clean only necessary data, measure before/after, then scale progressively through maturity levels.

