AI Knowhow AI and RevOps: The Disciplines Behind Predictable Revenue
14 snips
Feb 9, 2026 
Dr. Vasant Dhar, NYU Stern professor and author focused on prediction and trust in AI. He discusses his 'trust heat map' linking error frequency and consequence to willingness to adopt AI. He explores LLM variability, stability testing, and why cautious, change-managed AI adoption beats FOMO. Short takes on what AI-first organizations actually measure and prioritize.
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Switch To Data-Driven, Proactive Decision Making
- Move decision-making from gut feel to data and evidence with clear owners and a management cadence.
- Create proactive rhythms so teams anticipate issues rather than react to them.
Establish Tight Operating Rhythms
- Implement non-negotiable operating rhythms like weekly triage, monthly capacity reviews, and quarterly business reviews.
- Use these meetings to force reconciliation between sales, delivery, and finance and align pipeline to capacity.
Start With Weekly Triage And Monthly Health Checks
- Start with two meetings: a weekly review of the top five dipped accounts and a monthly roll-up of all account health scores.
- Pair that cadence with timely data and follow-up commitments to hold owners accountable.
