Accelerate Enterprise AI Impacts with Team Topologies
Автор: Agile Rising
Загружено: 2026-01-28
Просмотров: 7
Описание:
As we moved from the end of 2025 into 2026, one thing became clear: generative AI (GenAI) is an amplifying force. It strengthens what’s already working in an organization - but it also magnifies weak practices, poor decisions, and shaky foundations. For many leaders, this raises a critical question: where should we start with AI transformation?
In this webinar recording, agility and transformation experts Chris Ruch (CEO, Agile Rising) and Matthew Skelton (co-author of Team Topologies, Second Edition) explore why the organizational patterns that enabled rapid value delivery before GenAI are the same patterns required to succeed with GenAI.
Rather than introducing entirely new operating models for AI, the discussion shows how proven principles - empowered teams, clear boundaries, and value flow as the primary organizing principle - remain essential. These ideas are drawn from Team Topologies (Second Edition, 2025) by Matthew Skelton and Manuel Pais, which presents real-world examples of organizational agility at scale.
In this session, you’ll learn:
Why GenAI exposes weak organizational foundations and increases business risk when trust and accountability are unclear
How organizations that invest in clarity, shared purpose, and trust are better positioned to succeed with both humans and agentic AI
How Team Topologies provides the “infrastructure for agency” needed in AI-enabled organizations
The challenges North American enterprises face in adopting AI securely and in line with regulatory requirements across multiple tools
How AI changes the way value is created and flows through organizations and how effective team design enables that flow
This session is designed for senior leaders, transformation leaders, product executives, and technology professionals who want to move beyond AI hype and focus on building resilient, adaptable organizations.
👉 Watch the full recording to learn how strong organizational foundations turn AI from a source of risk into a sustainable competitive advantage.
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