Why do so many well-funded products still struggle with adoption? Mark Brehaut, Head of Design at Clair, joins us to unpack how design directly impacts activation, retention, and business performance — especially in high-stakes industries like FinTech.

From onboarding friction and time-to-value to validating assumptions before they hit production, Mark explains how human-centered design moves beyond aesthetics and becomes a measurable growth lever. We also dig into AI-assisted tooling, compliance constraints, and why great design is often invisible but still measurable.

If AI is already embedded in your teams’ workflows, are you leading it — or reacting to it? This week, Holly Laiveling, CTO at FEG Investment Advisors, shares what enterprise AI adoption really looks like inside complex, regulated environments. As generative AI moves from experiment to everyday tool, we break down how technology leaders can shift from gatekeeper to enabler through practical AI governance, tiered access models, and production-ready guardrails.
James and Holly also explore how to buy back time through automation, close the judgment gap, and evolve IT from control center to strategic partner.

If AI is the future of infrastructure, why does production still feel experimental? Joel Vasallo, Senior Director of Platform Engineering at TAG (The Aspen Group), joins us to explore what AI adoption actually looks like inside real production environments. From agent gateways and MCP servers to AI-assisted monitoring, we discuss the operational tradeoffs, why many pilots never scale, and what it really takes to move from cloud-native to AI-native.

What happens when AI adoption becomes a leadership challenge, instead of a technology change? This week, James sits down with Nikki Barua, CEO and co-founder of Flipwork, to explore why AI progress often stalls even after real investment. They unpack the growing gap between executive expectations and team readiness, why traditional change management no longer works, and how leaders can rethink identity, value, and work itself in an AI-first era.

When everything feels urgent, how do you make progress instead of just reacting?
In this episode, we talk with Erkang Zheng, founder of JupiterOne and Ariso, about why so many leaders get stuck in reactive mode and what it takes to build systems that hold up under pressure. They explore proactive leadership, lessons from scaling companies, and how AI and better structure can help teams move from constant firefighting to real momentum.

If AI is so powerful, why hasn’t it changed your organization the way you expected?
In this episode, James sits down with strategy advisor Justin Trombold to unpack why GenAI progress feels slower than promised and why the biggest barriers usually aren’t technical. They explore what organizational readiness really means, how small workflow wins create momentum, when agentic automation is worth the risk, and how to avoid scaling the wrong things too early. A grounded conversation for tech leaders turning experimentation into real impact.

Why do AI analytics tools look impressive… but still don’t get used?
James Carman talks with Pete Hunt, CEO of Dagster Labs and one of the original engineers behind React, about what it really takes for AI-powered analytics to stick. They unpack why adoption is often the biggest challenge (not accuracy), how bringing analytics into Slack changes decision-making, and what “fast, directionally correct” can unlock when teams trust the path to an answer.

If AI can build a prototype in a day, why does shipping still take months?
In this episode, James Carman is joined by David Arenas, a senior technology leader across industrial automation, fintech, and global data platforms. Together, they unpack why AI is accelerating development, but also making the gap between demo and production more expensive. They break down what it takes to ship AI-built work at enterprise scale.