AI Adoption Playbook

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. David explains why MCP specific...

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 underst...

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 healthc...

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. Dan walks Ravin through how Ryan is building AI systems to unlock this data,...

At Elastic , CISO

At Yext , evaluating every AI tool through a security-first lens sparked comprehensive AI governance frameworks that protect enterprise data without stifling productivity. Rohit Parchuri , SVP & CISO, explains how they developed "AI fact sheets" for these evaluations, comparing each tool against specific business goals, data protection requirements, and existing capabilities. This process prev...

What 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 systems earn developer trust in critical infrastructure environments. Diamond Bishop , Director of Eng/AI, outlines for Ravin how their Bits AI initiative evolved from basic log analysis to sophisticated incident response agen...

How 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 governance guardrails. Michael J. Domanic , Head of Generative AI Business Strategy, tells Ravin their approach to transforming internal workflows through AI on this episode of The AI Adoption Playbook. Rather than treatin...

When 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 investigate and diagnose technical problems faster than human engineers. In this episode of The AI Adoption Playbook, Lawrence Jones , Product Engineer at incident.io , tells Ravin how they're creating an automated incident...

What happens when AI capabilities outpace organizational readiness? At Shopify , this tension has pushed them to develop a practical implementation approach that balances rapid experimentation with sustainable value creation.  Spencer Lawrence , Director of Data Science & Engineering, shares how they've evolved from simple text expansion experiments to sophisticated AI assistants like Help Cen...

Forget theoretical planning — MongoDB dove headfirst into AI adoption and let real-world usage guide their strategy. David Vainchenker , Sr. Director of Enterprise Initiatives & Tools at MongoDB , joins Ravin on this episode of The AI Adoption Playbook to share this practical approach and unpack their evolution from simple chatbots to sophisticated agent-based systems.  David shares their prac...

In 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 assistants across multiple departments. Starting with a clear focus on reducing manual work and response times, Allen walks Ravin through how Lattice built their first AI solutions, from an experimental chatbot using Okta Wor...

What'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 delicate balance between executive vision and hands-on experimentation. After helping countless mid-sized businesses implement AI, Robert explains why these organizations need fundamentally different approaches than enterpris...

What 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 implementation: instead of relying on ML specialists, they're democratizing AI development across their organization. But that's just one part of Ramp's unconventional story. As Head of Analytics Engineering & Data Science, Ian M...

What 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 wave from an unexpected source: their non-technical teams started outpacing engineers in creating practical AI solutions. But that's just one part of Checkr's unconventional story. As Head of ML/AI, Muskan Kukreja explains...