AI Impact
CIOs are being handed massive AI budgets and board-level pressure to prove value. This show features conversations with technology leaders about what's actually driving impact, what's not, and how they're making the case to skeptical executives.
- Indexed episodes, last 90 days
- 7
- Latest publication
- Sep 17, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 9, 2026
Latest episodes
AI didn't cut the work. It revealed more | Andrew Weaver, VF Corporation (opens the original)
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AI is not clearing work off the calendar at VF Corporation . It reveals more of it. Capacity gained gets redirected straight into the backlog leaders never had time to touch. Workloads did not get lighter. Ambition got bigger. Andrew Weaver , Senior Director of Workforce Intelligence and AI Transformation, walked Russ Fradin through intake meetings, enterprise guardrails, and why an answer that is right 80 percent of the time sometimes belongs in a plain automated workflow. Topics discussed: Why
Adoption without accountability is just expensive experimentation | Smriti Kirubanandan, Innovaccer (opens the original)
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Adoption without accountability is just expensive experimentation. Smriti Kirubanandan , Managing Director of Enterprise AI Transformation at Innovaccer , reframes the question every enterprise leader spending on AI should be asking. Smriti tells Russ how her team cut a 32% claims denial rate to 11% in 14 months, recovering $23 million in one year. She breaks down why data quality must come before model performance, why every role must function as an AI steward, and where physical AI is headed n
How to pitch AI to a CEO on business value and ROI | Matthew Smart, Cardinal Health (opens the original)
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Getting tens of thousands of employees to adopt AI comes down to trust, skills built for each role, and change that moves top down and bottom up at the same time. Matthew Smart , Director, AI Strategy & Business Transformation at Cardinal Health , joins Russ to break down agent hype, why token pricing broke ROI math, pitching value over cost savings, and treating data readiness as the real work under every AI use case. Topics discussed: Driving AI adoption without scare tactics or job threats Th
Coding was never the hard part: inside Fanatics' 3-person AI triads (opens the original)
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Fanatics runs 1,000 websites on a single platform, scaling to peak orders per minute when a team wins a championship. Sashanka Vishnuvajhala , SVP of Engineering, tells Ameya how AI reshaped the way his teams organize, ship, and review code at Fanatics . Three-person triads now tackle complex customer-facing projects in rapid iterations. Intent specs replaced traditional JIRA tickets, and the increased throughput exposed bottlenecks in CI/CD and code reviews that had been hidden for years. Topic
How Quest measures AI value when no single metric works | Michael Laudon, Quest Software (opens the original)
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Pinching pennies on AI tokens is how AI transformation fails. Michael Laudon, Chief Product and Technology Officer at Quest Software, argues the real question is whether that spend produces measurable output, and no single metric answers it. Michael joins Russ to unpack how Quest runs its AI transformation, from a dedicated AI center of excellence to a governance model tied to business objectives and a deliberate break with the past that immerses eager teams in AI-native work end to end. Topics
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