Small Team, Big Roadmap: What We Learned Building with AI Agents

Most organizations have launched AI experiments. Far fewer have successfully scaled them into products, workflows, and operating models that deliver measurable customer and business value. Moving from isolated pilots to organization-wide adoption requires new approaches to governance, measurement, risk management, and prioritization.
This session explores what separates successful AI transformations from costly experimentation.

• Prioritizing AI initiatives based on customer value, business outcomes, and implementation effort.
• Establishing governance frameworks that balance innovation, compliance, and risk.
• Measuring the impact of AI initiatives beyond usage metrics and experimentation.
• Scaling successful AI capabilities across teams, products, and customer experiences.