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Adapt Together for AI success - enhancing value...

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Adapt Together for AI success - enhancing value flow with curated context and knowledge diffusion - Flowtopia

The book Team Topologies Second Edition (2025) demonstrates convincingly that organizing business and technology for fast flow of value via empowered teams produces outsized results for enterprises worldwide. As evidence from AI adoption spreads, it’s clear that organizations that already organize for bounded agency in humans are well-suited to adopting AI effectively and humanely.

However, it’s not enough to organize for value flow. Taken too far, a singular focus on value flow can lead to duplication, fragmented value, loss of innovation, financial inefficiency, and people isolated from networks of learning. An effective AI-savvy operating model also needs regular, curated, intentional context from informed, empowered humans. What’s missing in most organizations - even those that organize for value flow - is active knowledge diffusion and cross-organizational alignment via deliberate, curated sharing and selection of metrics, practices, techniques, and mental models.  

In this talk, Matthew Skelton - co-author of the groundbreaking books Team Topologies and Adapt Together - shares deep insights about how organizations can find success with and without AI by enhancing the architecture for value flow provided by Team Topologies with deliberate alignment and innovation diffusion from Adapt Together, based on experience with hundreds of organizations worldwide.

Key takeaways:

- In an age of rapid change in technology, regulations, and markets, organizing for value flow is not enough: we need cross-organizational context, learning, innovation diffusion
- Team Topologies provides the architecture for  value flow
- AI is forcing every organization to become a learning organization
- Ways of Learning become as important as Ways of Working
- Team Topologies provides the architecture for value flow; Adapt Together provides the discipline for “continuous context” and alignment

Avatar for Matthew Skelton

Matthew Skelton PRO

June 17, 2026

Resources

Adapt Together website

https://adapttogether.info/

Team Topologies website

https://teamtopologies.com/

Conflux website

https://confluxhq.com/

More Decks by Matthew Skelton

Other Decks in Business

Transcript

  1. Adapt Together for AI success Enhancing value flow with curated

    context and knowledge diffusion Matthew Skelton Co-author: Team Topologies & Adapt Together matthewskelton.com K311 Flowtopia online | 2026-06-24
  2. 2 Question: “With tech, markets, regulation changing so rapidly, how

    can we refresh context continuously to enable ongoing value flow?”
  3. 3 Question: “How can I turn this organization into an

    AI-native learning organization?”
  4. 4 Organizing for flow is not enough: we need “continuous

    context”, cross-group sharing, innovation diffusion, and active alignment
  5. 5 “Where are the insights, innovations, practices, and approaches to

    spotlight to provide the alignment we need?”
  6. Matthew Skelton levers and language for tech-savvy value delivery Co-author:

    Team Topologies & Adapt Together Founder and CEO at Conflux matthewskelton.com 6
  7. 8 Helping leaders in: • Software delivery • Charity fundraising

    • Marketing • Accounting • Legal services 8
  8. 9 Helping leaders in: • Software delivery • Charity fundraising

    • Marketing • Accounting • Legal services 9 Knowledge work
  9. 10 Problem: Why do 80% of firms report no benefit

    from AI? https://www.theregister.com/2026/02/18/ai_productivity_survey/ and https://www.nber.org/papers/w34836
  10. 1. avoid hand-offs 2. align incentives for ongoing value delivery

    3. protect fidelity of concepts 4. cognitively-scoped stewardship 5. actively diffuse learning and innovation 13
  11. 1. avoid hand-offs 2. align incentives for ongoing value delivery

    3. fidelity of concepts 4. cognitively-scoped stewardship 5. actively diffuse learning and innovation 14
  12. 1. avoid hand-offs 2. align incentives for ongoing value delivery

    3. fidelity of concepts 4. cognitively-scoped stewardship 5. actively diffuse learning and innovation 15
  13. 1. avoid hand-offs 2. align incentives for ongoing value delivery

    3. protect fidelity of concepts 4. cognitively-scoped stewardship 5. actively diffuse learning and innovation 16
  14. 1. avoid hand-offs 2. align incentives for ongoing value delivery

    3. fidelity of concepts 4. cognitively-scoped stewardship 5. actively diffuse learning and innovation 17
  15. 1. avoid hand-offs 2. align incentives for ongoing value delivery

    3. fidelity of concepts 4. cognitively-scoped stewardship 5. actively diffuse learning and innovation 18
  16. 1. avoid hand-offs 2. align incentives for ongoing value delivery

    3. protect fidelity of concepts 4. cognitively-scoped stewardship 5. actively diffuse learning and innovation 19
  17. 20 Problem: Why do 80% of firms report no benefit

    from AI? https://www.theregister.com/2026/02/18/ai_productivity_survey/ and https://www.nber.org/papers/w34836
  18. 1. Hand-offs everywhere 2. Misaligned incentives for ongoing value delivery

    3. Fidelity of concepts ignored 4. Cognitive load and stewardship not treated as design principles 5. Limited learning and innovation 21 🤒
  19. ❏ Team Topologies provides the architecture for value flow ❏

    AI is forcing every organization to become a learning organization ❏ Ways of Learning become as important as Ways of Working ❏ Adapt Together provides the discipline for “continuous context” and alignment 22
  20. 24 Team Topologies Second Edition https://teamtopologies.com/book Organizing Business and Technology

    for Fast Flow of Value By Matthew Skelton and Manuel Pais Second Edition: September 2025 10 new case studies from around the world
  21. 25 Team Topologies paraphrased (by me) “Given the need for

    ongoing stewardship of long-lived services, how can we realistically arrange the flow of value to be rapid, safe, and sustainable?”
  22. Stuart Winter-Tear 30 “... Team Topologies [...] offers something Agentic

    AI desperately needs - but cannot invent on its own: Clear boundaries, Stable interfaces, Aligned domains, A culture of collaborative ownership. [Team Topologies is] … the infrastructure for agency itself.” https://www.linkedin.com/posts/stuart-winter-tear_orgs-that-have-worked-out-ho w-to-empower-activity-7339513909151719425-teiT/ AI Product Advisor to PE | Author of UNHYPED
  23. 31 infrastructure for agency: rules, principles, guardrails that empower groups

    of humans and AI Agents to be effective stewards of value flow
  24. Veronica Stewart 32 “As AI accelerates development and analysis, companies

    will increasingly need visibility into things like: domain boundaries, ownership clarity, cross-team dependencies, platform bottlenecks, architectural coupling The clearer the system is for humans, the more effectively AI can operate within it.” https://www.linkedin.com/feed/update/urn:li:activity:7438180828662263808/ AI Enablement & Product Operations Leader
  25. 33 Which organizations are having genuine success with organizing for

    value flow, and what are the common success factors?
  26. EBSCO used patterns and techniques from Team Topologies patterns to

    optimize software delivery. 34 confluxhq.com/ebsco • $9.1M recurring annual cost reduction • 26% faster feature delivery • Dependency-related blockers decreased by 45% • Repeatable enterprise capability playbook • Significantly higher team satisfaction
  27. J.P.Morgan used key Team Topologies techniques to reduce 60% of

    dependencies (c.2022-2023) 35 https://www.youtube.com/watch ?v=y3OL7dv2l48 Athena - largest platform @ JPM Corporate & Investment Bank
  28. Derek Waldron, Chief Analytics Officer at JPMorgan Chase 36 https://www.mckinsey.com/industries/financial-

    services/our-insights/jpmorgan-chases-derek- waldron-on-building-an-ai-first-bank-culture “...while productivity gains create capacity, they don’t necessarily translate into cost takeout. … If cost takeout or end-to-end metrics … are the goals, you need to prioritize the journey and reimagine it end to end.”
  29. Scale out adoption and awareness of Team Topologies across the

    enterprise: Academy, enterprise content license, bulk book purchases, TT Success Toolkit™ 38 ➡ Get started: teamtopologies.com/scale
  30. AI - especially LLMs / GPT-based AI - drives probabilistic

    services which need a more nimble org response 43
  31. Make it safe & secure for non-coders to create production-grade

    software apps with embedded AI agents 44
  32. Make it safe & secure for non-coders to create production-grade

    software apps with embedded AI agents 45 Not trivial!
  33. 46

  34. 53

  35. 60 internaltechconf.com Internal Tech Conferences Victoria Morgan-Smith and Matthew Skelton

    https://www.infoq.com/articles/book-review-internal-tech-conferences/
  36. 61 “This initiative around internal conferences has been the single

    most effective thing to align business and technology that I have seen in this organization” – Murray Hennessey, CEO, (UK retail co)
  37. 62

  38. 63 North Star Metric (NSM) as a key diagnostic tool

    for alignment and value orientation
  39. 64

  40. 65 Levers for safe driving of value delivery: • Activity

    Health Indicators (AHI) • Multi-Team Capability Assessment (MTCA) • TagMe (Targets, Guardrails, Metrics, Examples)
  41. 68

  42. Derek Waldron, Chief Analytics Officer at JPMorgan Chase 70 https://www.mckinsey.com/industries/financial-

    services/our-insights/jpmorgan-chases-derek- waldron-on-building-an-ai-first-bank-culture “We didn’t mandate the use of LLM Suite by anybody. Instead, we used an opt-in approach … There was a little bit of a fear of missing out. That social dynamic helped create a culture of adoption.”
  43. 72 “The way that the Conflux crew used their active

    knowledge diffusion approach to seek out and champion good practices was a real revelation to us at TELUS and helped to shift thinking around how we innovate and share successes.” – Steven Tannock, Director, Architecture (Platform Technology & Tools) at TELUS Digital
  44. 73 Alignment and acceleration of digital engineering at GOV.UK Home

    Office via shared standards, cross-team assessments, and spotlighting effective practices adapttogether.info/all-case-studies/govuk-home-office • 30% Efficiency Savings • 400% Increase in software delivery capability
  45. 78 Question: “With tech, markets, regulation changing so rapidly, how

    can we refresh context continuously to enable ongoing value flow?”
  46. 79 Question: “How can I turn this organization into an

    AI-native learning organization?”
  47. 80 Organizing for flow is not enough: we need “continuous

    context”, cross-group sharing, innovation diffusion, and active alignment
  48. 81 “Where are the insights, innovations, practices, and approaches to

    spotlight to provide the alignment we need?”
  49. ❏ Team Topologies provides the architecture for value flow ❏

    AI is forcing every organization to become a learning organization ❏ Ways of Learning become as important as Ways of Working ❏ Adapt Together provides the discipline for “continuous context” and alignment 82
  50. 90 Resources Book: Adapt Together https://adapttogether.info/ By Matthew Skelton and

    Renee Hawkins To be published by IT Revolution, 2027 ❓
  51. 91 Resources Book: Team Topologies 2nd Ed https://teamtopologies.com/book By Matthew

    Skelton and Manuel Pais Organizing Business and Technology for Fast Flow of Value Second Edition: September 2025