The AI in Business Podcast Rewiring Systems to Scale AI From Demos to Deliverables - Nina Edwards of Prudential Insurance
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Dec 19, 2025 Nina Edwards, Vice President of Emerging Technology at Prudential Insurance, brings decades of expertise in AI and innovation. She discusses why a staggering 95% of AI pilots fail, attributing it to outdated measurement systems. Nina advocates for shifting focus from hours saved to measuring speed and deployable capacity. Practical strategies like protected sandboxes and unified KPI glossaries are highlighted, alongside a human-centered approach that empowers teams to govern AI processes. She emphasizes the importance of outcome charters to ensure measurable ROI in AI initiatives.
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Pre-AI Metrics Hide AI Value
- Enterprises often fail because they measure AI with pre-AI metrics that miss velocity gains.
- Nina Edwards says productivity gets trapped by legacy release cycles and approval chains, hiding real value.
Use Tiered Sandboxes To Accelerate Approvals
- Create protected sandboxes with spend caps, redacted data, and automated logging to speed approvals.
- Nina reports this can cut approval cycles from months to days and surface operatization metrics.
Standardize KPIs Across The Enterprise
- Standardize an enterprise KPI glossary that unifies cycle time, exception rates, and automation percentage.
- This lets leaders compare pilots and see which produce deployable capacity versus one-off savings.