As product organizations scale, critical knowledge fragments across teams, tools, and conversations. For product leaders, that shows up as reduced visibility into how strategy plays out on the ground.

Join us and Mural on August 27 for a complimentary live session on why shared organizational context is what determines whether AI actually improves execution or just adds noise.

You'll walk away with a framework for closing the gap between strategy and delivery, and a clearer read on what your org needs to get real value from AI.

Here’s what’s holding teams back:

  • Leaders lack visibility into how strategy translates into execution. As product orgs scale, the gap between what leadership decides and what teams actually do gets harder to see, and harder to close.
  • AI adds volume to a problem it can't fix on its own. Without shared context across research, design, and product ops, AI acts on partial information. More output doesn't mean better decisions.
  • The cost of misalignment grows with the org. Research, design, and product ops each build their own workflow; at scale, small gaps between teams turn into real delays.
  • Decisions and customer insights live in too many places. When there's no shared source of truth, priorities drift, and the people who need research and design outputs don't always get them.

You'll walk away with:

  • A framework for closing the gap between strategy and execution. 
  • A model for evaluating your org's AI readiness. 
  • An approach to sustained alignment across research, design, and product ops. 
  • A clearer read on what enterprise AI adoption actually requires. 
  • A way to think about execution velocity at scale. 

Meet the experts

Daniel Su, Vice President of Product, Growth & Monetization, Mural

Daniel leads product strategy for AI-powered collaboration. With a background spanning product innovation, customer-centric design, and emerging technologies, he focuses on building intelligent experiences that help teams collaborate more effectively and unlock the full potential of connected AI at scale.

Katie Hendricksen, Senior Software Engineer, Mural

Katie has increasingly operated as a product engineer, partnering across product and engineering to shape AI-powered collaboration experiences from concept to launch. Her work focuses on connecting people, workflows, and enterprise tools to help teams move from individual productivity to collaborative intelligence.