AI Adoption Playbook

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.

AI Adoption Playbook is a technology podcast hosted by Credal, with 15 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Credal hosts AI Adoption Playbook, a technology show with 15 episodes published.

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  AI Adoption Playbook

  Building deterministic security for multi-agent AI workflows | David Gildea (Druva)

  Sep 11, 202533 minS0

  <p>David 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 at Druva, he's building deterministic security harnesses that solve the authentication nightmare of multi-agent systems while maintaining the autonomous capabilities that make AI valuable.</p> <p>David explains why MCP specifications gained faster enterprise adoption than A2A despite having weaker security features, telling Ravin how his team is addressing authentication gaps through integration with existing identity management systems like Okta. He shares Druva's approach to wrapping AI agents in security...

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  AI Adoption Playbook

  Building AI agents that learn from feedback: BigPanda's drag-and-drop system | Alexander Page

  Aug 7, 202531 minS0

  <p>The 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 transformed an LLM-based prototype into "Biggy," an AI system for critical incident management. BigPanda moved beyond basic semantic search to build agentic integrations with ServiceNow and Jira, creating AI that understands organizational context and learns from incident history while helping with the entire lifecycle from detection through post-incident documentation.</p> <p>Alexander also gives Ravin BigPanda's framework for measuring AI agent performance when traditional accuracy metrics fall short: combine user feedback with...

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  AI Adoption Playbook

  From 14 to 14,000 patients: How UCHealth scales healthcare with AI | Richard Zane (UCHealth)

  Jul 24, 202531 minS0

  <p>UCHealth’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 analytics. Instead of exhausting pilots, they deploy in phases: test, prove, optimize, then scale. This has created a system that prioritizes force multiplication of current staff rather than replacing them, enabling healthcare professionals to work at the top of their scope.</p> <p>Richard Zane, Chief Innovation Officer also tells Ravin how their computational linguistics system automatically categorizes thousands of chest X-ray incidental findings into risk levels and manages closed-loop follow-up communication, ensuring critical findings don't fa...

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  AI Adoption Playbook

  How construction companies can leverage AI at scale | Dan Williamson

  Jul 10, 202529 minS0

  <p>The construction industry sits on goldmines of unstructured data that could revolutionize how buildings get built. From thousands of contracts to communication logs spanning 12-36 month building cycles, Dan Williamson, Director of Artificial Intelligence at Ryan Companies US, says all that data remains largely untapped.</p> <p>Dan walks Ravin through how Ryan is building AI systems to unlock this data, from contract risk analysis to robots doing reality capture on job sites. But the real challenge is organizational. Getting trade workers who've operated the same way for decades to embrace robotic assistants requires finding business evangelists willing to...

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  AI Adoption Playbook

  Why AI should live in the business unit, not security: Lessons from mobile and cloud transitions | Mandy Andress (Elastic)

  Jun 27, 202536 minS0

  <p>At Elastic, CISO

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