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Generative AI Readiness with Justin Trombold

In this episode, Peter Maddison and Dave Sharrock welcome Justin Trombold, President and Founder of Antison Advisors, to discuss why successful generative AI adoption is more about organizational readiness than technology. Justin reveals that the biggest challenges facing companies aren't technical; they're organizational. From end-user proficiency to cross-functional collaboration, discover why companies struggle to move beyond "toy apps" and how to create real business value with AI. 🎯 THREE KEY TAKEAWAYS: 1. End-user proficiency is everything: Build foundational skills before investing in sophisticated AI tools. Your people need to learn prompt engineering, use case testing, and understand limitations—not just ask for dinner recommendations. 2. Define the sandbox before choosing the toys: Organizations need a clear generative AI strategy connected to business objectives before selecting tools. Without this, you'll end up with disconnected "toy apps" that create operational headaches. 3. Innovation in planning matters as much as innovation in products: Move beyond annual planning cycles to adopt more agile, iterative approaches. Organizations that can continuously learn and adapt achieve transformational growth, not just efficiency gains. 📌 TIMESTAMPS: 0:04 - Welcome and introduction 0:20 - Justin introduces himself and Antison Advisors 3:40 - The impact of AI on organizational ways of working 4:14 - What makes generative AI different from previous tools 5:52 - Why you can't just release an LLM into an organization 6:47 - Connecting AI strategy to business strategy 9:43 - The operational challenge of scattered AI applications 13:19 - Cross-functional collaboration and organizational transformation 15:05 - The imperative for business to adopt AI alongside IT 16:04 - Two layers of end-user proficiency 22:51 - Enabling experimentation vs. drowning in information 25:17 - Why some organizations are better prepared for AI 27:51 - The marketplace confusion around AI tools 29:45 - Creating time for higher-order work 31:51 - Time savings and organizational value creation 33:27 - The importance of intentional business cases 35:17 - Annual planning cycles vs. continuous learning 36:22 - Closing thoughts and key takeaways 👤 ABOUT JUSTIN TROMBOLD: Justin Trombold is President and Founder of Antison Advisors, a consulting firm specializing in organizational generative AI readiness. With a unique background bridging academic research and business consulting, Justin spent over a decade as a teacher and researcher in biological sciences before moving into consulting, including time at Deloitte. Justin's work focuses on helping organizations—from small businesses to large enterprises—navigate the complex journey of AI adoption. Rather than focusing solely on technology, he emphasizes organizational capability gaps, ways of working, and cultural shifts necessary to generate real value from AI investments. His research-backed frameworks identify characteristics of successful, adaptive organizations, helping clients develop clear AI strategies and build the cross-functional collaboration necessary for transformational AI adoption. 🔗 CONNECT WITH US: 📧 Email: feedback@definitelymaybeagile.com 💬 JOIN THE CONVERSATION: What's your organization's biggest challenge with AI adoption? Share your thoughts in the comments below! 🔔 SUBSCRIBE for more insights on agile transformation, digital innovation, and scaling new ways of working at enterprise level. --- #GenerativeAI #AIReadiness #AgileTransformation #DigitalTransformation #OrganizationalChange #LLM #ArtificialIntelligence #BusinessStrategy #ChangeManagement #Innovation #CrossFunctionalTeams #EnterpriseAI #TechLeadership #AIStrategy #PromptEngineering --- Definitely Maybe Agile is a podcast where hosts Peter Maddison and Dave Sharrock focus on the art and science of digital, agile, and DevOps at scale. We explore the complexities of adopting new ways of working in large organizations and share practical insights from industry experts. © Definitely Maybe Agile Podcast | All Rights Reserved