Everyone's talking about AI. Fewer organizations have actually decided what they stand for when it comes to using it.

In this episode, Matt Sharp and Holly Fake sit down with Scott Hasse, one of Flexion's founding partners, to talk through how Flexion built its AI policy from the ground up. What triggered it, who was in the room, and what they were trying to get right.

Scott talks honestly about the internal moment that made a policy impossible to ignore, why they deliberately brought skeptics into the process, and how that made the end result something people could actually get behind. He also gets into why having clear AI governance guardrails is what lets teams move faster with AI adoption, not slower, and how the policy continues to hold up in practice today.

The approach Flexion took, from assembling diverse perspectives to defining clear guardrails, is one any company can learn from. If your organization is still figuring out its position on AI, this conversation is a practical place to start.

Subscribe to the Learning Curve for real conversations about AI at work, AI implementation, and what it actually looks like to build with AI inside a technology company.

In this episode of Learning Curve, we explore how AI has quietly become a natural part of agile workflows without feeling disruptive or forced. Matt Sharp and Holly Fake are joined by Shawn Cleary, a scrum master at Flexion, to discuss how AI tools support real, everyday work across planning, sprints, retrospectives, and team communication.

Shawn shares how AI shows up throughout a sprint, from summarizing discussions and pulling out themes to supporting retros in tools like EasyRetro and improving meeting workflows with Zoom and Otter.ai. We discuss where AI saves time, where it still feels clunky, and why the fact that AI feels “not weird” anymore might be the clearest sign of its value.

The conversation also digs into small, embedded AI features that make a big impact, the importance of seamless integration for adoption, and how scrum masters can use ai to support team health, navigate difficult conversations, and reduce cognitive load. Plus, we hear a fun example of creative ai use outside of work, including trivia playlists that adapt to the flow of a game.

If you’re a scrum master, agile practitioner, or team lead curious about practical ai tools, large language models, and low-stakes ways to start integrating ai into your workflow, this episode offers grounded, real-world insights you can actually use. Subscribe to Learning Curve for honest conversations about ai, agile teams, and building technology that works for people.

In this episode of Learning Curve, we cut through the AI hype to explore how AI agents and large language models are actually being used in day-to-day workflows at Flexion. Matt Sharp and Holly Fake sit down with Kevin Varga to talk about the real transition from limited AI use to multi-agent systems that support productivity, experimentation, and creative problem solving.

We cover practical AI use cases, what AI agents are genuinely good at, where they still struggle, and what remains weird or surprisingly delightful. Kevin shares how he builds and evaluates AI agents, how different tools perform in different contexts, and how cognitive offloading can change the way teams work. From professional workflows to supercharging tabletop gaming as a dungeon master, this conversation explores real world ai beyond the buzzwords.

If you’re curious about integrating AI into your daily workflow, understanding multi-agent approaches, or learning how teams are using large language models in practice, this episode offers grounded insights you can actually apply. Subscribe to Learning Curve for honest conversations about practical AI, human-centered design, and building technology people actually want to use.

In episode 4 of Learning Curve, we explore what it really means to apply AI and emerging technology outside of labs and big tech companies.

Host Matt Sharp and Holly Fake sit down with innovators working hands-on in regenerative systems, experimentation, and real-world problem solving. This episode moves beyond hype to unpack how applied artificial intelligence, learning through iteration, and human-centered design come together in complex environments like food systems and sustainability.

In this episode, you’ll hear insights on:
- Using AI in real-world applications
- Learning through experimentation and iteration
- Innovation outside traditional technology ecosystems
- Regenerative thinking and sustainable systems
- Why building with technology requires trust, curiosity, and adaptability

If you’re interested in AI, innovation, digital transformation, or how learning really happens in practice, this conversation offers an honest look at what it takes to build, test, and evolve ideas where the stakes are real.

Subscribe to Learning Curve for thoughtful conversations at the intersection of technology, learning, and innovation.

In this episode of Learning Curve, we sit down with a Flexion engineer to explore what happens when AI meets a legacy COBOL system. From proofs-of-concept and evaluation datasets to healthy skepticism and quality standards, this conversation breaks down what it actually takes to bring AI into mission-critical, decades-old software, without the hype.

In this episode of Learning Curve, Matt Sharp sits down with a guest who has taken a bold, modern approach to career building: writing their own job description. The conversation explores how AI, creativity, and human agency are reshaping the way we define work and the roles we choose to inhabit

In the very first episode, we will be talking about taking the first big step toward integrating AI into your organization. We’re sharing the inside story of how Flexion invested in AI, not just in tools or software, but by hiring our first-ever AI Strategist.