AI Adoption Playbook
autor: Credal
Najnowszy odcinek
Building deterministic security for multi-agent AI workflows | David…
Building deterministic security for multi-agent AI workflows | David…
O tym podcaście
Welcome to The AI Adoption Playbook—where we explore real-world AI implementations at leading enterprises. Join host Ravin Thambapillai, CEO of Credal.ai, as he unpacks the technical challenges, architectural decisions, and deployment strategies shaping successful AI adoption. Each episode dives deep into concrete use cases with the engineers and ML platform teams making enterprise AI work at scale. Whether you’re building internal AI tools or leading GenAI initiatives, you’ll find actionable insights for moving from proof-of-concept to production.
Odcinki
- Building deterministic security for multi-agent AI workflows | David Gildea (Druva) · 33 minDavid Gildea has learned that traditional security models collapse when AI agents start delegating tasks to 50 or 60 other agents in enterprise workflows. As VP of Product for AI…
- Building AI agents that learn from feedback: BigPanda's drag-and-drop system | Alexander Page · 31 minThe fastest path to production AI isn't perfect architecture, according to Alexander Page. It's customer validation. In his former role of Principal AI Architect at BigPanda, he…
- From 14 to 14,000 patients: How UCHealth scales healthcare with AI | Richard Zane (UCHealth) · 31 minUCHealth’s healthcare AI methodology currently enables 1 nurse to monitor 14 fall-risk patients, with plans to scale to 140, then 1,400 through computer vision and predictive…
- How construction companies can leverage AI at scale | Dan Williamson · 29 minThe construction industry sits on goldmines of unstructured data that could revolutionize how buildings get built. From thousands of contracts to communication logs spanning…
- How Yext created AI fact sheets to standardize vendor evaluations | Rohit Parchuri (CISO at Yext) · 46 minAt Yext, evaluating every AI tool through a security-first lens sparked comprehensive AI governance frameworks that protect enterprise data without stifling productivity. Rohit…
- AI build vs buy: How do you choose between custom tools vs vendors? | Diamond Bishop · 50 minWhat happens when you build AI agents trusted enough to handle production incidents while engineers sleep? At Datadog, it sparked a fundamental rethink of how enterprise AI…
- From 0 to 600 custom GPTs in one company: Why creativity beats technology in AI transformation | Michael Domanic · 49 minHow do you achieve 75% weekly active AI tool usage across an enterprise? At UserTesting, it started with a deliberate strategy to foster experimental adoption while maintaining…
- Incident response AI: How do you build an AI that tells you how to fix outages? | Lawrence Jones · 41 minWhen technical systems fail at companies like Netflix or Etsy, every minute of downtime can cost millions. That's why incident.io is building AI systems that can automatically…
- LLM-as-a-judge: How Shopify built AI judges that match human reviewers | Spencer Lawrence · 46 minWhat happens when AI capabilities outpace organizational readiness? At Shopify, this tension has pushed them to develop a practical implementation approach that balances rapid…
- Enterprise AI security: How MongoDB secured data for 5,000 employees | David Vainchenker · 41 minForget theoretical planning — MongoDB dove headfirst into AI adoption and let real-world usage guide their strategy. David Vainchenker, Sr. Director of Enterprise Initiatives &…
- From 30% to 99% AI accuracy in production | Allen Jeter (Lattice) · 50 minIn this episode of The AI Adoption Playbook, Allen Jeter, Director of IT at Lattice, describes how his team transformed internal operations by strategically implementing AI…
- The AI champion method: Finding internal advocates | Robert Mitchell (WSI) · 44 minWhat's the secret to successful AI adoption? According to Robert Mitchell, Chief AI Officer at WSI, it's not just about choosing the right tools, but it's about mastering a…
- How to build retrieval augmented generation with just 26 lines of SQL | Ian Macomber (Ramp) · 41 minWhat happens when you enable SQL engineers to build sophisticated AI systems with just 26 lines of code? At Ramp, it sparked a transformation in how they approach AI…
- The company-wide AI hackathon that transformed 1,000 employees in one week | Muskan Kukreja (head of ML and AI at Checkr) · 48 minWhat happens when you pause all company operations for a week to teach everyone — from marketers to legal teams — how to build AI co-pilots? At Checkr, it sparked an innovation…
