Aug. 6, 2026

ABOUT THIS EPISODE

Coding was never the hard part: inside Fanatics' 3-person AI triads

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.

Topics discussed:

Running 1,000 websites on a single elastic platform
Three-person triads for complex customer-facing projects
Intent specs replacing traditional JIRA tickets
Code reviews as the new throughput bottleneck
Building a model routing judgment layer
Hiring for aptitude over specific technology experience
AI-native young talent approaching problems differently
Why increased speed exposed every leaky pipe

Listen to more episodes:

Apple

Spotify

YouTube

Technology

English

United States

Use API to fetch this episode in JSON

TRANSCRIPT 🔗

Are you the producer of this podcast? Add a podcast transcript

Need Audio-to-Text? Transcribe with Listen411 in Just 60 Seconds

SEARCH PAST EPISODES

Search past episodes of AI Impact.

Embed this search bar to your website

OTHER EPISODES IN THIS PODCAST

Inside Vertiv: How the Company Powering AI Data Centers Uses AI

May 21, 2026

Vertiv builds the power and cooling infrastructure that makes the AI boom physically possible — their hyperscaler customers spend hundreds of billions on AI infrastructure every year. So what does the CIO of that company think about AI inside his own organization? Russ Fradin talks with Mike Giresi…

00:38:50

SAVE

CLIP

Who Owns the Bot? Bask Iyer on AI Accountability, Pretotyping, and the Vendor Trap

May 12, 2026

Bask Iyer has held the global CIO seat at Johnson & Johnson, Honeywell, VMware, and Dell, and now advises over a dozen AI companies including Zoom and ThoughtSpot. In this episode, Russ gets into how enterprise technology decisions actually get made, and how AI is exposing the real cost of CIOs…

00:32:42

SAVE

CLIP

The 10/20/70 rule for AI budgets that actually pay off | Priyanka Vergadia, Microsoft

July 9, 2026

Most AI deployments stall because leaders treat the tool as the whole investment. Priyanka Vergadia, argues technology is only 20 percent of the equation, and the returns show up once you fund people, training, and change management. Priyanka, Senior Director of AI Transformation at Microsoft, brea…

00:32:09

SAVE

CLIP

The three ways CFOs should budget for AI spend

June 25, 2026

Iain Hassall sorts AI spend into three buckets, and the trickiest is AI embedded in your own product, where cost basis and margins get murky. His warning to finance leaders is to lock in pricing and packaging before shipping AI features, or risk buying a dollar of inference and selling it for 80 ce…

00:27:28

SAVE

CLIP

Stop Counting Licenses. Start Counting Outcomes.

June 4, 2026

Tope Iluyomade has been working in AI since 2004, starting with robotics and reinforcement learning, and has spent two decades advising and leading technology inside large enterprises as both CIO and CISO before moving into executive advisory work. In this conversation, he breaks down why most AI g…

00:35:12

SAVE

CLIP

Disclaimer: The podcast and artwork embedded on this page are from Larridin, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.