Leadership roundtable - AI native operating model
Explore how leadership teams can move beyond generic AI enthusiasm toward clearer operating decisions.
Explore how leadership teams can adapt their operating model as AI moves from a productivity tool to a delegated capability inside real workflows. Discuss ways to establish bounded agency, redesign workflows around authority, and understand the new P&L curve before AI commitments harden into funded operating plans.
Product Code: P657i
“AI does not usually fail at the model. It fails when accountability, control, and economics do not survive contact with live work.”
— Stuart Winter-Tear, Founder of Unhyped
Adopt an AI native operating model as AI transitions into a delegated capability within real workflows
The business impact
Organizations that successfully organize for bounded agency in humans are well-suited to adopt AI effectively and humanely.
By adopting an AI native operating model, technology and business leaders can expect to:
Easily track AI implementation, maintenance, and supervision costs in P&L
Avoid isolated team experimentation through reusable patterns, internal standards, and practice-sharing
Enhance team performance, security, and scalability through well-defined boundaries for both humans and AI
Empower teams of humans and AI agents for fast, safe, and compliant decision-making
Deploy reliable, auditable, and economically meaningful AI implementations
As organizations move from AI tools to AI systems that can act within workflows, leadership teams face a different kind of operating model challenge. Technology and business leaders now face difficult questions: What should AI be allowed to do, where does human accountability sit, and what happens to the P&L when digital labor scales from experiment to operating infrastructure?
Explore how team boundaries, ownership, flow, and cognitive load need to change when AI becomes part of the work system.
Discover how an organization can absorb AI delegation without creating uncontrolled complexity, through bounded agency and Active Knowledge Diffusion.
Debate the executive and economic implications of digital labor, including how the cost per completed outcome holds under real operating conditions.
This roundtable helps leadership teams develop a shared language for AI delegation, so they can decide what to fund, scale, govern, redesign, or stop.
"Organizations that have worked out how to empower autonomous teams of people are already in the best place to adopt Agentic AI." — Matthew Skelton, CEO/CTO of Conflux, co-author of Team Topologies.
Deep insights from real-world implementations
Curated by Matthew Skelton, CEO at Conflux and co-author of Team Topologies, and Stuart Winter-Tear, executive and board advisor helping translate AI ambition into operating decisions they can govern, fund, scale, or stop, this leadership roundtable shares insights and proven approaches from global customer engagements.
Who this is for
Senior leaders seeking to understand workflow redesign and the P&L impacts of digital labor
Private-equity firms, enterprise executive committees, and operating partners needing board-grade AI decisions before cost, risk, and dependency harden into the operating model
What you'll gain
We explore the mindsets required for moving beyond generic AI enthusiasm toward clearer operating decisions.
Develop a shared language for discussing AI delegation across the executive team
Gain a clearer distinction between tools, automation, agents, and delegated authority
Understand how AI affects teams, boundaries, ownership, and cognitive load
Explore a practical lens for deciding what to fund, scale, govern, redesign, or stop, based on real cost-per-outcome metrics
Understand how AI changes the P&L through variable cost, supervision, exceptions, and maintenance
What’s included
With half-day formats that are perfect for enterprises seeking to enhance their leadership offsite days, our expert facilitators deliver deep strategic discussions and thorough collaborative problem-solving.
Preparation and in-person roundtable:
2 × 45-minute online preparation sessions - We’ll meet your team and outline your challenges in order to tailor your roundtable
3-hour in-person roundtable (at your location) - Debating and exploring your specific opportunities and shaping your solutions
1 × 45-minute online follow-up session - Feedback and recommendations from our experts
Meet your facilitators
Matthew Skelton is the CEO/CTO of Conflux and co-author of Team Topologies: Organizing Business and Technology Teams for Fast Flow (IT Revolution Press, 2019). This book has become the go-to reference for organizations worldwide seeking business agility and adaptability with software-enriched services.
Matthew is one of the foremost leaders in modern organizational dynamics for fast flow, supporting organizations with transformation towards a sustainable fast flow of value and true business agility.
Stuart helps boards, CEOs, investors, operating partners, CFOs, and senior teams translate AI ambition into operating decisions they can govern, fund, scale, or stop.
Over the last decade, Stuart has advised executives, boards, founders, and technical teams across the UK and Europe. He helps organizations see where value is real, where weak proof is being mistaken for traction, and what needs to change before scale becomes credible.