Originally posted on May 18, 2014 and updated by Brandon Klein on August 20, 2025.

You’ve heard the buzzwords. You’ve seen the frameworks. Maybe you’ve even sat through a week of training where consultants promised to “transform” your organization into an agile powerhouse. But here’s the dirty little secret about scaling agile: most attempts crash and burn because they focus on the wrong thing.

When executives see one successful agile team crushing it, their first instinct is predictable: “Great, let’s clone this across the entire company!” What could go wrong? Well, pretty much everything. Just like most training fails because it ignores how people actually learn and change, scaling agile often fails because it ignores how organizations actually adapt and evolve.

The Real Challenge of Scaling Agile

Scaling agile isn’t about picking the right framework—whether that’s SAFe, LeSS, or DAD. It’s about understanding that what works for 10 people rarely works for 1,000 without serious adaptation. The core question isn’t “which framework?” but rather “how do we reliably duplicate exemplary performance while allowing for local context?”

Think of it this way: you wouldn’t use the same recipe to cook for your family dinner and a 500-person wedding. The ingredients might be similar, but the execution requires completely different approaches. This is where design thinking facilitation becomes crucial—it helps teams navigate complexity while maintaining human-centered focus.

Catholic vs Buddhist: The Scaling Dilemma

Robert Sutton and Huggy Rao nailed this concept in their research on scaling excellence. They identified two opposing approaches:

  • Catholic approach: Everyone follows strict protocols. Think In-N-Out Burger—same menu, same process, minimal deviation. In agile terms, this means “everyone does Scrum by the book.”
  • Buddhist approach: Core principles guide local adaptations. Like KFC selling egg tarts in China but burgers in America. For agile, this means teaching values and principles, then letting teams figure out implementation.

Neither approach is inherently right or wrong. The key is knowing when to apply each one. As Liberating Structures demonstrate, sometimes the most powerful frameworks are those that provide just enough structure to enable creativity.

When Catholic Makes Sense

Standardization works when:

  • You’re dealing with regulatory compliance
  • Cross-team dependencies require predictable interfaces
  • You need rapid onboarding at scale
  • Core safety or quality standards are non-negotiable

When Buddhist Wins

Local adaptation thrives when:

  • Teams face unique market conditions
  • Cultural differences impact work styles
  • Technical constraints vary significantly
  • Innovation and experimentation drive competitive advantage

This adaptive approach aligns with how cities engineer serendipity through urban design innovation—creating frameworks that enable unexpected positive outcomes rather than forcing rigid patterns.

The Cognitor Approach: Bridging Both Worlds

Here’s where modern AI-powered facilitation changes the game. Instead of forcing a binary choice between Catholic and Buddhist approaches, organizations can now use what I call “cognitive scaffolding”—AI agents that help teams understand core principles while adapting to local needs. This represents the evolution from traditional design thinking meets AI, where human creativity combines with machine intelligence.

Imagine having an AI facilitator that:

  • Analyzes your team’s specific context and constraints
  • Suggests proven patterns from similar organizations
  • Monitors implementation and provides real-time coaching
  • Identifies when standardization helps vs. hurts

This isn’t about replacing human judgment—it’s about augmenting it with data-driven insights from thousands of successful transformations. Companies like AppNova are already exploring how AI transforms the design thinking framework in practice.

Practical Steps for Scaling Without Suffering

1. Start with Swappable Sub-Assemblies

Like Lego blocks, create modular practices teams can mix and match. For example:

  • Core: Two-week iterations
  • Swappable: Stand-up times (9am vs 11am for West Coast coordination)
  • Core: Regular retrospectives
  • Swappable: Format (traditional vs. Liberating Structures)

This modular approach mirrors successful frameworks like the LUMA System, which provides a toolkit of methods teams can combine based on their needs.

2. Combat Delusions of Uniqueness

Teams often think they’re special snowflakes who need completely custom processes. Usually, they’re not. Use data to show when their “unique” challenges match patterns other teams have already solved. This is similar to how Hylo helps communities collaborate by revealing common patterns across diverse groups.

3. Measure What Matters

Stop measuring velocity and start measuring outcomes. Are you delivering value faster? Are customers happier? Is employee engagement improving? These metrics transcend framework debates.

4. Create Learning Networks

Instead of top-down mandates or bottom-up chaos, build horizontal learning networks where teams share what’s working. AI can help by identifying patterns across teams and suggesting relevant connections. Organizations are already using design thinking facilitation guides to build these collaborative structures.

The Bottom Line

Scaling agile successfully requires accepting a fundamental truth: there’s no one-size-fits-all solution. The organizations that thrive are those that build adaptive capacity—the ability to sense what’s working, amplify it, and adjust what isn’t.

Whether you lean Catholic or Buddhist in your approach, remember that the goal isn’t perfect adherence to any framework. It’s creating an environment where teams can reliably deliver value while continuously improving their methods.

The future of agile transformation isn’t about choosing between standardization and flexibility—it’s about knowing when to apply each approach and having the tools to make those decisions based on evidence rather than ideology. As we move forward, the integration of AI and human facilitation will only make this balance more achievable and more powerful.

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