Sri
Ramaswamy
CEO at Charlee.ai Inc
"The Boardroom Reality Check for AI"
"The Boardroom Reality Check for AI"
Tue May 12 - 7:20 PM EDT/New York (See in local time)
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05/12/2026 7:20 PM
05/12/2026 08:00 PM
America/New_York
#WTGC2026
"The Boardroom Reality Check for AI"
#WTGC2026
"The Boardroom Reality Check for AI"
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"The Boardroom Reality Check for AI"
"The Boardroom Reality Check for AI"
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Session: The Boardroom Reality Check for AI
1. Why Most AI Programs Don’t ScaleKey insight: AI fails after pilots, not before.
• Tools ≠ intelligence
• Data volume ≠ decision clarity
• Accuracy ≠ business confidence
2. Risk Is the Missing Link Between AI and ROI
Reframe risk from “cost center” to early-signal intelligence layer.
• Lagging metrics vs leading risk signals
• Why regulated industries expose AI weaknesses faster
• Risk visibility = speed, confidence, and capital efficiency
3. Lessons From Building AI Where Failure Is Expensive
What works in regulated environments:
• Domain grounding beats generic intelligence
• Noise reduction matters more than model size
• Explainability is a leadership requirement
• Human judgment must stay in the loop
4. What Every CEO Should Demand From AI
A concise executive checklist:
1. Can I explain this decision to my board?
2. Do I know what data was excluded?
3. Where does human override live?
4. What risk does this reduce—early?
5. What happens when the model is wrong?
Executive Workshop
Title: The AI Reality Check
Format: Small-group or table exercise. No tech. No laptops. High engagement.
Exercise:
Each group maps one AI initiative in their org against 5 dimensions:
• Risk visibility
• Trust & explainability
• Human judgment
• Workflow integration
• Measurable ROI
Outcome:
Executives leave with one immediate course correction they can act on.
Key Takeaways
- Why AI pilots succeed but fail to scale—and how leaders can fix it.
- How reframing risk as early intelligence unlocks real AI ROI.
- What executives must demand from AI to ensure trust, accountability, and impact.
Bio
Sri Ramaswamy is the Founder & CEO of Charlee.ai, a patented risk-intelligence platform that turns claims language into actionable signals. With 22+ years across insurance, analytics, and AI, she pioneered Charlee’s Claims Graph RAG and pre-trained language models trained on 60M+ claims to predict litigation, improve reserves, and surface fraud and subrogation opportunities. ARM-certified with decades in tech, Sri converts unstructured insurance data into measurable outcomes for claims, underwriting, and adjacent industries. A frequent speaker and mentor, she advances practical, ethical AI that delivers operational value at scale. Sri is also on the NSBA Leadership Council and Small Business Technology Council leadership board.