Gone are the days of static organizational charts and staffing based on the manager's rolodex and intuition. Now you can recruit any expertise you need from a global online network within minutes: an on-demand, on-the-spot expert at the exact moment that you need their help. You can right-size their involvement: some of those experts give a second-opinion or a moment of brainstorming, while others join as full-fledged team members for a sustained collaborative effort.

This is the future promised by Flash Teams, a model that The New York Times has already praised for its “revolutionary potential”: a world where experts are available anytime and everywhere, where remote work has become a norm, and where AI is in the loop to guide team decisions. Using AI, the Flash Teams model offers dramatic new opportunities for management—while helping organizations avoid the trap of "workslop" and empty activity

What if you designed your organization using AI-augmented experimentation? What if every team were designed to be uniquely and maximally effective? What if you could predict when a team would fracture? What if you could simulate what might go right (or wrong) when putting a group of people together into a team or organization? This session lays out the frontier of what is now possible with AI-augmented management, and techniques you can use today to deploy it with measurable business impact.

While discussions about AI often focus on personal adoption or fears of job displacement, the real revolution is unfolding within organizations—the engines of our economy and society. Stanford Professor Melissa Valentine, of the university's Institute for Human-Centered AI (HAI) will guide an engaging and forward-thinking exploration into the transformative role of AI-powered organizations.   

Organizations thrive on specialized yet coordinated workflows. How can AI enhance these systems, enabling smarter decision-making and adaptive capabilities? As companies accelerate adoption, a critical barrier has emerged: teams generate more outputs and summaries than ever, yet struggle to translate that activity into measurable business impact. This session dives into groundbreaking real-world examples where AI is not just a tool but a partner in reshaping how organizations evolve, collaborate, and innovate.

Melissa Valentine demonstrates how organizations can build an AI-augmented workforce by skillfully integrating artificial intelligence into everyday operations. Even though AI seems easy to use, powerful tools are open-ended and constantly evolving; employees frequently struggle to translate a blank prompt window into reliable operational improvements on their own.

This experience starts off with sharing a recent case study of employees effectively utilizing a new AI system, moving past simple task replacement to systematically redesign individual and team workflows. Melissa explains how the transformation involved more than just learning a new system–it required employees to embrace more expansive professional identities, positioning themselves as experts "in the loop" with AI systems. Together, everyone will examine the new intellectual and analytical skills these workers developed, such as evaluating AI recommendations and measuring their own decision-making processes.

Overview: Built directly from your "Learning to create value with AI" copy, shifting leadership focus from mere adoption to disciplined outcomes.

As AI adoption accelerates across the enterprise, a critical barrier has emerged: teams are generating more outputs, summaries, and prototypes than ever, yet struggling to translate that activity into measurable business impact. When organizations jump straight to tools and solutions without anchoring on value, they risk creating "workslop" and review bottlenecks. This session shifts leaders from pushing AI adoption to disciplined value creation. Through a research-backed three-step framework, participants learn how to re-anchor their teams on customer value propositions, add in "closed-loop" outcome measurement, and design rigorous experiments to test strategic assumptions. Leaders leave with a practical management playbook for turning everyday AI usage into organizational impact.

Formats Available:

• 30-minute keynote

• 60-minute keynote + Q&A

• 90-minute hands-on workshop

• Half-day workshop

• Asynchronous course (3–5 short modules)

Overview: Built from your "Leading AI workflow redesign" copy, focusing on change management, field research, and operationalizing AI for front-line teams and managers.

Many companies are giving front-line employees and managers AI tools and expecting them to rethink their own workflows. Yet even though AI seems easy to use in many ways, this change management approach often stalls. Powerful AI tools are open-ended, flexible, and constantly evolving, and employees often struggle to translate a blank prompt window into reliable operational improvements on their own. This session draws on in-depth field research into how workers actually learn to match AI capabilities to opportunities in their daily work, and gives leaders a structured playbook for guiding that transition. Participants apply practical frameworks to pinpoint well-aligned use cases and break down how work really happens. Leaders leave with concrete strategies to guide their teams past simple task replacement and systematically redesign both individual and team workflows.

Formats Available:

• 30-minute keynote

• 60-minute keynote + Q&A

• 90-minute hands-on workshop

• Half-day workshop