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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.
By FlexionEveryone'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.