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Value Creation

In line with our Agile AI Manifesto, value creation in the age of AI requires a fundamentally different approach than traditional software projects. While the core principles of agile development remain valid, AI brings new dimensions of continuous evolution and adaptation that directly impact how we create and capture value.

The key to sustainable value creation lies in building internal capabilities rather than relying solely on external solutions. This approach ensures that:

  • Teams can continuously adapt to rapid AI advancements
  • Value compounds through accumulated knowledge and experience
  • Organizations maintain strategic independence
  • Innovation becomes a natural part of operations

Overview​

While traditional business value metrics remain fundamental, AI transformation offers a unique opportunity to revolutionize how organizations operate. Beyond direct ROI, the true value lies in evolving the entire organizational mindset and operating model towards continuous learning and adaptation.

Business Value​

  • Cost Reduction
  • Revenue Growth
  • Market Expansion
  • Innovation Speed
  • Quality Improvement

Implementation Focus​

  • Quick Wins
  • Scalable Solutions
  • Risk Management
  • Resource Optimization
  • Continuous Learning

Lighthouse Project Selection​

One of the most effective strategies for AI adoption is to begin with a company-wide call for AI project suggestions. This approach serves two crucial purposes:

  1. Engagement: It creates broad involvement and ownership across the organization
  2. Natural Filtering: From typically 100+ suggestions, only 5-7 unique core concepts emerge

This natural consolidation helps prevent AI sprawl while identifying the most relevant use cases that resonate across departments.

Gathering Input​

  • Company-wide Survey
  • Department Workshops
  • Expert Interviews
  • Pain Point Analysis

Consolidation Criteria​

  • Business Impact
  • Implementation Effort
  • Risk Profile
  • Reusability Potential

Lighthouse Projects​

Project Characteristics​

Key Elements​

  • Quick Wins
  • High Visibility
  • Clear Metrics
  • Scalable Learnings

Success Enablers​

  • Executive Support
  • Resource Availability
  • Clear Ownership
  • Defined Timeline

From Lighthouse to Organization-Wide Adoption​

The transition from lighthouse projects to broad organizational adoption depends heavily on transparent communication and visible management commitment. Success breeds success, but only if properly shared and supported.

Driving Adoption​

  • Document and share all project aspects openly
  • Highlight successes in management communications
  • Make project teams available as internal consultants
  • Include AI initiatives in regular budget cycles
  • Question and address areas of low adoption

Management Actions that Drive Change​

  • Allocate significant budgets to AI initiatives
  • Promote and reward AI adoption leaders
  • Include AI capabilities in performance reviews
  • Prioritize AI-enhanced processes
  • Support cross-department knowledge sharing

💡 Key Insight: Employees carefully observe which behaviors receive management attention and resources. The success of your AI transformation depends less on the technology itself and more on how consistently management signals its importance through concrete actions and resource allocation.