AI Use Cases, Deployment, and Measuring Real-World ROI - with Ylan Kazi of Blue Cross Blue Shield of North Dakota (20 min)
- Release date: 2026-03-10
- Listen on Spotify: Open episode
- Episode description:
Today's guest is Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota. With deep experience leading enterprise AI strategy in regulated healthcare, Ylan brings a grounded perspective on how organizations can innovate responsibly with emerging technology. Ylan joins Emerj Emerj Client Narrative & Content Strategy Lead Nick Gertsch to discuss how healthcare leaders can approach AI adoption through clear organizational posture, strong governance, and a focus on measurable customer and operational value. Ylan also shares practical takeaways, including balancing build-versus-buy decisions, embedding explainability and auditability into workflows, and prioritizing AI use cases that reduce friction in the patient experience while delivering sustainable ROI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!
Summary
- 🎯 Align on AI Posture: Determine first-mover vs. cautious stance early with executives to guide build/buy and governance.
- 🏗️ Hybrid Capabilities: Build internal skills for sustainability while buying commoditized AI to control costs.
- 🔍 Embed Explainability: Ensure auditability and human oversight, tailored to use cases, especially in healthcare.
- 📊 Holistic ROI: Prioritize customer ease, reduced friction, and cultural buy-in over pure financials.
- 🚀 AI-First Future: Rethink processes with invisible AI; leaders manage agents, accelerating industry transformation.
Insights
How should leaders align on organizational AI posture before tackling build-versus-buy?
Time: 4:33 – 5:07
Category: AI-Driven Innovation EconomyAnswer: Start by determining if the organization aims to be a first-mover, fast follower, or cautious adopter, as this drives decisions on governance, teams, and sourcing. Alignment among senior executives ensures sustainable AI strategies tailored to industry aspirations. (Start at 4:33)
Why prioritize internal AI capabilities over full vendor outsourcing?
Time: 5:20 – 6:31
Category: AI-Driven Innovation EconomyAnswer: Building in-house skills like data science teams creates sustainability and avoids cost-prohibitive vendor reliance, while buying foundational models from leaders like OpenAI for non-core needs. This hybrid approach balances expertise and efficiency across use cases. (Start at 5:20)
When does AI value justify its use in low-impact scenarios?
Time: 6:34 – 7:09
Category: AI-Driven Innovation EconomyAnswer: Only pursue AI for use cases delivering clear customer value and ROI, grounded in strong data foundations and organizational culture. Excitement alone isn’t enough; measure against alternatives to ensure meaningful impact. (Start at 6:34)
How can AI outputs stay explainable and auditable in regulated sectors like healthcare?
Time: 7:54 – 9:21
Category: AI Governance & LawsAnswer: Tailor standards by use case—higher for patient care vs. admin—and embed audit trails to answer queries on model decisions. Build trust through safeguards, while noting customers prioritize great service over tech details. (Start at 7:54)
How is evolving AI regulation influencing enterprise strategies?
Time: 9:54 – 11:20
Category: AI Governance & LawsAnswer: Watch EU AI Act and FDA as global benchmarks, preferring federal over fragmented state rules to cut compliance costs. Keep humans in the loop for decisions to minimize risks, adapting to shifting U.S. policies. (Start at 9:54)
What does true ROI look like beyond dollars in AI deployments?
Time: 11:46 – 13:19
Category: AI-Driven Innovation Economy, AI in Everyday LifeAnswer: Focus on reducing friction, enhancing customer experiences, saving time, and boosting cultural readiness—not just revenue. Employee enthusiasm and ‘life easier’ feelings are key, hard-to-quantify metrics of success. (Start at 11:46)
How will AI reshape leadership and company structures?
Time: 14:01 – 16:16
Category: AI in Workforce DisruptionAnswer: Leaders will manage more AI agents than humans, requiring new skills; rethink processes from scratch as ‘AI-first.’ This accelerates adoption, with success when AI feels invisible, like in iPhones or retail. (Start at 14:01)