Be Part of the 16%, Not the 84%

The Agile Transformation Challenge

According to McKinsey, 84% of all agile transformations fail. Not because agile doesn’t work, but because transformation is complex, and agile is simple but not easy. And AI makes it even more complex.

Classic agile approaches don’t account for:

  • How AI changes everything: faster iterations, AI-generated code, experiments with non-deterministic systems, data-driven workflows
  • Existing roles under pressure: Product Owners, Engineers, Architects navigating unfamiliar AI territory (while new roles like ML Engineers and Data Scientists emerge)
  • DevOps and MLOps integration for continuous deployment
  • Scaling in complex engineering and enterprise contexts
  • Balance between innovation and regulatory compliance

The cost of failure:

  • Resistance to change blocks progress—including growing agile fatigue from past failed transformations
  • Confusion about roles and responsibilities
  • Inconsistent implementation leads to inefficiency
  • Missing scaling strategy
  • Agile teams vs. traditional units work against each other
  • Frustration, wasted resources, missed opportunities

Our Approach: Agile That Works in Your Reality

We’re not framework dogmatists. We combine deep agile expertise (both accredited SAFe SPCs), engineering experience, and AI know-how—for transformations that actually work.

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1. AI-Aware Agile Practices

  • How product ownership works for AI products
  • Agile workflows for data engineering and ML pipelines
  • Sprint planning with experiments instead of fixed requirements
  • Quality assurance for non-deterministic systems

2. Scaling for Complex Contexts

  • Enterprise scaling (SAFe, LeSS, custom frameworks)
  • Agile in engineering environments (embedded, hardware-software)
  • Integration of AI teams into larger product development structures
  • Non-cookie-cutter: We adapt what works on the ground

3. DevOps & MLOps Integration

  • CI/CD for AI systems (not just software)
  • Collaboration between Dev, Ops, Data, and ML
  • Automation and tool chains for fast feedback cycles

4. Change Management & Organizational Development

  • Executive coaching for agile mindsets
  • Team facilitation and conflict resolution
  • Cultural change that lasts
  • Metrics and OKRs that make progress visible

5. Tailored Transformation Roadmap

  • Assessment of your current state (processes, culture, capabilities)
  • Strategy aligned with your business goals
  • Phased implementation with quick wins and strategic initiatives
  • Capability building and sustainability

What You Get

Agile culture that works:

  • Teams that collaborate effectively
  • Faster decisions and delivery cycles
  • Adaptability to changing requirements
  • Transparency and continuous improvement

Scaling that holds:

  • Enterprise-wide coordination without bureaucracy
  • Consistent practices, adapted to context
  • Balance between autonomy and alignment

AI-ready organization:

  • Structures and processes that enable AI innovation
  • Teams that handle uncertainty and experiments
  • Integration of AI into existing product development

How We Work

Typical duration: 4-12 months for sustainable transformation

Our model:

  • Remote coaching with on-site workshops as needed
  • Executive coaching, team facilitation, hands-on support
  • Knowledge transfer from day one—you should continue independently

Phases:

  1. Assessment (2-4 weeks): Current state analysis, stakeholder interviews, maturity assessment
  2. Strategy (2-3 weeks): Transformation roadmap, change plan, quick wins
  3. Implementation (3-9 months): Coaching, facilitation, process design, scaling
  4. Sustainability (ongoing): Metrics, retrospectives, continuous improvement

Why Us

Expertise that counts:

  • Accredited SAFe SPCs (both)—enterprise scaling with credentials
  • DevOps experience—Falko is DASA DevOps Ambassador for Germany
  • AI expertise—TÜV certified and battle-tested in real projects, we understand AI-specific challenges
  • Engineering background—complex systems, large enterprises, safety-critical products

Pragmatic, not dogmatic:

  • Framework-agnostic: SAFe, LeSS, Scrum, Kanban, custom—whatever works
  • Non-cookie-cutter: Agile for embedded systems? Regulated industries? We’ve done it
  • Focus on outcomes, not process conformity

Cross-industry experience:

  • Automotive, finance, aerospace, medical
  • From small boutique firms to large corporations
  • Agile rescue missions: getting transformations back on track
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Developing team capabilities? Explore our agile training programs at do.institute