Establishing agile ways of working sustainably
Agile Transformation
Agile transformation enables your organization to respond more quickly to market changes, increase customer satisfaction, and boost employee motivation. We support you with a structured approach to introducing agile principles, methods, and mindsets at all levels of your organization.
- ✓Up to 35% faster product launch through agile development methods
- ✓Increase in customer satisfaction by an average of 25–40%
- ✓Increase in employee satisfaction and retention by 30%
- ✓On average 20–30% lower error rates in development projects
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Our clients trust our expertise in digital transformation, compliance, and risk management
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Comprehensive Agile Transformation for Your Organization
Our Strengths
- Over 10 years of experience conducting agile transformations in the DACH region
- Comprehensive transformation approach with a focus on lasting change
- Certified experts for all relevant agile frameworks and methods
- Experience across various industries and company sizes
⚠
Expert Tip
A common mistake is a purely methodological focus in agile transformation. According to current studies, 68% of agile transformations fail due to insufficient consideration of cultural aspects and a lack of leadership support. Start with a clear "why" and ensure consistent sponsorship at the C-level.
ADVISORI in Numbers
11+
Years of Experience
120+
Employees
520+
Projects
Our proven methodology for agile transformations is based on a structured, incremental approach that helps you establish agile ways of working sustainably and achieve measurable results.
Our Approach:
Phase 1: Assessment & Strategy - Analysis of the current situation, definition of objectives, and development of a tailored transformation strategy
Phase 2: Piloting - Implementation of agile practices in selected pilot areas and gathering initial experience
Phase 3: Scaling - Expansion of agile practices to additional areas, establishment of scalable frameworks
Phase 4: Institutionalization - Embedding agile ways of working in processes, structures, and culture
Phase 5: Continuous Improvement - Regular evaluation and adaptation of agile practices
"Agile transformation is not an end in itself, but a strategic means of sustainably increasing the adaptability and innovative capacity of organizations. True success is demonstrated not in the perfect application of methods, but in measurable business outcomes and improved customer satisfaction."
Asan Stefanski
Head of Digital Transformation
Expertise & Experience:
11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI
Our Services
We offer you tailored solutions for your digital transformation
Agile Readiness & Strategy Development
Comprehensive analysis of your organization and development of a tailored transformation strategy. We identify strengths, weaknesses, and potential, and define a clear path to an agile organization.
- Assessment of agile maturity across all dimensions
- Definition of an agile vision and target architecture
- Creation of a transformation roadmap
- Business case and metrics for transformation success
Agile Leadership & Change Management
Development of agile leadership competencies and support for organizational change. We enable your leaders to actively shape and sustainably embed the agile transformation.
- Agile Leadership workshops and coaching
- Development of a change strategy and communication plan
- Building internal change networks and communities
- Transformation of HR processes and incentive systems
Agile Framework Implementation
Introduction and scaling of agile methods and frameworks within your organization. We support you in selecting and implementing the agile ways of working that are right for you.
- Framework selection (Scrum, Kanban, SAFe, LeSS, Nexus)
- Team structuring and role assignment
- Implementation of agile ceremonies and practices
- Training and coaching for agile teams and Scrum Masters
DevOps & Technical Enablement
Integration of DevOps practices and building the technical foundations for agile development. We help you create the technical prerequisites for continuous delivery.
- DevOps strategy and implementation plan
- CI/CD pipeline setup and automation
- Infrastructure-as-Code and cloud strategies
- Selection and implementation of agile tools and platforms
Looking for a complete overview of all our services?
View Complete Service OverviewOur Areas of Expertise in Digital Transformation
Discover our specialized areas of digital transformation
Digital Strategy
Development and implementation of AI-supported strategies for your company's digital transformation to secure sustainable competitive advantages.
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Data Management & Data Governance
Establish a robust data foundation as the basis for growth and efficiency through strategic data management and comprehensive data governance.
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Digital Maturity
Precisely determine your digital maturity level, identify potential in industry comparison, and derive targeted measures for your successful digital future.
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Innovation Management
Foster a sustainable innovation culture and systematically transform ideas into marketable digital products and services for your competitive advantage.
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Technology Consulting
Maximize the value of your technology investments through expert consulting in the selection, customization, and seamless implementation of optimal software solutions for your business processes.
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Data Analytics
Transform your data into strategic capital: From data preparation through Business Intelligence to Advanced Analytics and innovative data products – for measurable business success.
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Process Automation
Increase efficiency and reduce costs through intelligent automation and optimization of your business processes for maximum productivity.
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AI & Artificial Intelligence
Leverage the potential of AI safely and in regulatory compliance, from strategy through security to compliance.
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Frequently Asked Questions about Agile Transformation
What is the difference between agility and agile transformation?
Agility and agile transformation are closely related but distinct concepts that are often used interchangeably. A clear differentiation is essential for successful implementation.
🎯 Conceptual Distinction
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Agility: Describes a state or capability of an organization to respond quickly and flexibly to change
•
Agile Transformation: Is the structured change process to achieve agility
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Agility focuses on the goal and the outcomes
•
Agile Transformation describes the path and the methodology
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Agility is a continuous state; agile transformation has a defined beginning and a transformative end
🔄 Dimensions of Agile Transformation
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Structural Transformation: Reorganization of teams and departments for greater flexibility
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Process Transformation: Introduction of iterative and incremental ways of working
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Technological Transformation: Implementation of tools and infrastructure for faster delivery
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Cultural Transformation: Establishment of agile values and mindsets
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Leadership Transformation: Development of new leadership models and competencies
📊 Measurability and Success Indicators
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Agility is measured by business outcomes (time-to-market, customer satisfaction, adaptability)
•
Agile Transformation is measured by transformation progress (adoption rate, methodology maturity, skill development)
•
Agile transformations typically pass through 4–
5 maturity levels over 2–
3 years
•
Organizations with high agility achieve 30–40% shorter time-to-market
•
Leading organizations measure the ROI of their agile transformation using 8–
12 KPIs
How long does a typical agile transformation take?
The duration of an agile transformation varies depending on organizational size, complexity, starting point, and transformation objectives. A realistic understanding of the timeframe is essential for expectation management and resource planning.
⏱ ️ Typical Timeframes
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Individual teams: 3–
6 months to effective ways of working
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Departments/business units: 1–
2 years for a sustainable transformation
•
Company-wide transformation: 2–
5 years for deep, lasting change
•
Cultural change: 3–
7 years until agile values are fully embedded
•
DevOps integration: 1–
3 years depending on technical maturity
🔄 Phases and Milestones
•
Initialization and piloting: 3–
6 months (first teams working agile)
•
Scaling and expansion: 6–
18 months (multiple teams/areas adopting agile practices)
•
Organizational embedding: 12–
24 months (structures and processes are adapted)
•
Cultural embedding: 24+ months (values and mindset are established in the corporate culture)
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Continuous improvement: Ongoing (evolutionary further development of agile practices)
🧩 Factors Influencing the Timeframe
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Organizational size and complexity (the larger, the longer)
•
Starting point and agile maturity (transformation gap)
•
Leadership commitment and sponsorship (accelerated with strong support)
•
Employees' readiness for change and culture
•
Technological prerequisites and legacy systems
What prerequisites must be established for a successful agile transformation?
A successful agile transformation requires certain fundamental prerequisites, the absence of which is among the most common reasons for the failure of such initiatives.
🏛 ️ Organizational Prerequisites
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C-level sponsorship: Active commitment and support from senior leadership
•
Clear transformation vision with measurable objectives and value proposition
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Dedicated transformation team with sufficient resources and mandate
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Flexibility in organizational structures and willingness to reorganize
•
Transparent communication of transformation objectives and approach
👥 Cultural and Personnel Prerequisites
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Fundamental readiness for change within the organization (change readiness)
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Openness to feedback, learning, and continuous improvement
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Psychological safety for experimentation and transparency about failures
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Leaders willing to take on new leadership roles
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Sufficient foundational knowledge of agile principles and values
🛠 ️ Technical Prerequisites
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Modular system and application architecture for independent deployments
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Automated testing and deployment infrastructure (CI/CD foundations)
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Adequate IT infrastructure for distributed teams and collaboration
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Implementation of agile development practices (e.g., clean code, TDD)
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Access to suitable agile tools and platforms
📊 Process and Methodological Prerequisites
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Willingness to adapt traditional budgeting and planning processes
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Flexibility in HR processes (recruitment, evaluation, compensation)
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Adaptation of governance and compliance structures
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Foundational knowledge of agile frameworks and methods
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Space for piloting and experimental learning
How do you select the right agile framework for your organization?
Selecting the right agile framework is a critical success factor that depends on numerous organization-specific factors and often requires a hybrid approach.
🧩 Decision Criteria for Framework Selection
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Organizational size and complexity (teams, locations, products)
•
Nature of the products and services to be developed (software, hardware, services)
•
Existing processes and their maturity level
•
Organizational culture and readiness for change
•
Regulatory requirements and compliance specifications
📋 Comparison of Leading Frameworks
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Scrum: Ideal for individual teams with clearly defined products (70% adoption rate)
•
Kanban: Well suited for service-oriented teams and continuous delivery
•
SAFe (Scaled Agile Framework): Comprehensive for large organizations with complex dependencies
•
LeSS (Large Scale Scrum): Focus on product-centricity with multiple teams
•
Nexus: Pragmatic scaling for 3–
9 Scrum teams with a shared product
🔄 Hybrid and Tailoring Approaches
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Framework tailoring: Adapting a framework to organizational specifics
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Agnostic approach: Focus on principles rather than specific methodology
•
Bi-modal/multi-modal: Different frameworks for different organizational areas
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Evolutionary approach: Starting with team agility, scaling later
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Organic method adaptation through regular retrospectives
🛠 ️ Evaluation Process
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Assessment of organizational maturity and complexity
•
Definition of critical success factors and requirements
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Piloting of various frameworks in selected areas
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Evaluation based on business and team metrics
•
Incremental adaptation and further development of the methodology
How does the role of leaders change in an agile organization?
Transforming into an agile organization requires a fundamental realignment of leadership roles, styles, and responsibilities, which represents one of the greatest challenges of agile transformation.
🔄 From Traditional to Agile Leadership Understanding
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From command & control to coaching & empowerment
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From detailed work instructions to purpose & outcome orientation
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From individual decision-making to distributed decision-making
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From resource allocation to capacity enablement
•
From performance management to growth mindset & development
🧠 New Core Competencies for Agile Leaders
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Systemic thinking and understanding of complex dependencies
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Coaching skills for developing self-organized teams
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Change leadership for actively shaping the transformation
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Servant leadership for removing obstacles
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Experimental mindset and continuous learning
📋 New Leadership Roles in Agile Organizations
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Agile Leader: Shapes organizational conditions for agility
•
Product Owner: Responsible for product vision and business value
•
Scrum Master/Agile Coach: Promotes agile practices and process improvement
•
Chapter Lead: Functional leadership in matrix organizations
•
Tribe Lead: Coordination of multiple agile teams with a shared mission
🛠 ️ Leadership Practices in Agile Organizations
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OKR (Objectives & Key Results) for goal-oriented autonomous work
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Regular 1:
1 coaching sessions instead of annual performance reviews
•
Visualization of work and progress through agile boards
•
Experimentation and validated learning through hypotheses
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Gemba walks for direct observation of value creation
How do you measure the success of an agile transformation?
Effective measurement of agile transformations requires a balanced set of metrics that captures both transformation progress and the business outcomes achieved.
📊 Business Value Metrics
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Time-to-market: Reduction of 30–50% on average in mature agile organizations
•
Customer satisfaction (CSAT/NPS): Typically 15–30% improvement after a successful transformation
•
Product quality: Reduction of defects by 25–40% through agile engineering practices
•
Employee engagement: On average 20–35% higher engagement scores
•
Business agility: Ability to adapt quickly to market and environmental changes
🔄 Agile Process Metrics
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Delivery frequency: Increase in deployment frequency (daily vs. monthly)
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Cycle time: Reduction of time from requirement to production release
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Flow efficiency: Ratio of value-adding to waiting time in the process
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Predictability: Reliability of completion forecasts
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Innovation rate: Number of new ideas and experiments
👥 Transformation Metrics
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Agile adoption rate: Share of teams/areas using agile ways of working
•
Agile maturity level: Maturity of agile practices and principles
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Training coverage: Share of employees with agile training
•
Leadership engagement: Level of leader activity in the transformation
•
Organizational impediments: Reduction of organizational obstacles
How are DevOps and agile transformation related?
DevOps and agile transformation are closely linked but distinct approaches that reinforce each other and together can create maximum value for organizations.
🔄 Conceptual Relationships
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DevOps: Focuses on the integration of development and operations for faster, more reliable software delivery
•
Agile Transformation: Comprehensive organizational change toward greater flexibility and customer-centricity
•
DevOps complements agility through technical enablers and automation
•
Agile Transformation creates the cultural and organizational framework for DevOps
•
Together they form a complete cycle from idea to operations
⚙ ️ Technological Synergies
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Continuous Integration/Continuous Delivery (CI/CD) as the technical backbone of agile delivery
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Automated testing for quality assurance in faster release cycles
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Infrastructure as Code (IaC) for reproducible, versionable environments
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Monitoring and observability for rapid feedback from production
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Feature flags for controlled deployments and A/B testing
👥 Cultural Commonalities
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Shared responsibility for quality and operational stability
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Feedback-oriented culture of improvement
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Willingness to experiment and tolerance for failure
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Collaboration across functional boundaries
•
Focus on flow and value creation
📈 Implementation Strategies
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Incorporate DevOps aspects early in the agile transformation (30% higher success rate)
•
Platform teams to provide DevOps capabilities for agile teams
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Communities of practice for knowledge sharing and best practices
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Value stream mapping to identify technical and process obstacles
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Incremental approach with short feedback cycles
What role do product teams play in agile transformation?
Product teams are central building blocks of agile organizations and play a significant role in reshaping development processes, organizational structures, and value chains.
🏗 ️ Structural Aspects of Product Teams
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Cross-functional composition: All capabilities within the team for end-to-end delivery (development, testing, design, product)
•
Long-term team composition: Stable teams for continuous learning and improvement
•
Optimal team size: 5–
9 members ("two-pizza team") for effective self-organization
•
Dedicated roles: Product Owner as value maximizer, Scrum Master/Agile Coach as process supporter
•
Clear product ownership: One team, one product/value contribution focus
🧩 From Project to Product Thinking
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Continuous product lifecycle instead of time-limited project work
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Long-term ownership and responsibility for quality and operations
•
Outcome orientation instead of feature focus (value contribution vs. output)
•
Continuous delivery instead of milestones and phases
•
Customer-centricity through direct feedback and usage data
⚙ ️ Ways of Working and Practices
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Autonomous decision-making within strategic guardrails
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Incremental, iterative approach with regular releases
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Continuous improvement through retrospectives and experimentation
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DevOps integration for end-to-end responsibility
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Customer development and validation through direct customer contact
🚀 Success Factors in Establishment
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Clear product vision and strategy as an orientation framework
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Sufficient decision-making authority and resource responsibility
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Supportive technical infrastructure for autonomous working
•
Balance between autonomy and alignment (75% of successful teams)
•
Measurement of outcomes rather than output (business metrics vs. velocity)
How do you design a successful scaling of agile practices?
Scaling agile practices beyond individual teams presents organizations with complex challenges that require a well-considered, multi-dimensional approach.
🔍 Scaling Challenges
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Coordination of multiple teams with shared dependencies
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Maintaining agile values despite increasing complexity
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Balance between local autonomy and global alignment
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Consistent practices while adapting to team-specific needs
•
Integration with existing organizational structures and processes
🏗 ️ Structural Scaling Approaches
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Feature teams: Organized around customer functionalities rather than technology layers
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Scrum of Scrums: Coordination layer for cross-team topics
•
Agile Release Trains (SAFe): Synchronized development cycles for multiple teams
•
Tribes and squads (Spotify model): Autonomous teams within larger thematic units
•
LeSS structure: Multiple teams share one Product Owner and backlog
🛠 ️ Coordination Mechanisms
•
Shared planning events for alignment (PI Planning in SAFe)
•
Scrum Master communities for consistent processes and continuous learning
•
Architecture communities for technical consistency and standards
•
Dependency management boards for proactive impediment management
•
Incremental approach with synchronized iterations (67% of successful scalings)
⚙ ️ Technical Enablers for Scaling
•
Continuous Integration/Delivery pipelines for rapid feedback
•
Feature toggles for independent deployments
•
Modularized architecture with defined interfaces
•
Automated tests for rapid quality assurance
•
DevOps practices for smooth handover to operations
How do you integrate compliance and regulatory requirements into agile development?
Integrating compliance and regulatory requirements into agile development processes requires a well-considered approach that keeps flexibility and control in balance and treats regulatory requirements as an integral part of value creation.
🏛 ️ Core Principles of Integration
•
"Shift-left" for compliance: Early integration of requirements into the development process
•
Compliance by design: Regulatory requirements as functional requirements
•
Risk-based approach: Adapting control intensity to the risk profile
•
Automation of compliance checks and evidence
•
Continuous compliance assurance instead of point-in-time audits
📋 Process Integration and Governance
•
Definition of Done with explicit compliance criteria
•
Regulatory user stories in the product backlog with business value
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Compliance experts as part of the extended product team
•
Regular compliance reviews in refinements and demos
•
Agile governance boards for rapid decision-making
🛠 ️ Technical Implementation
•
Automated compliance tests in CI/CD pipelines (reduces manual checks by 60–80%)
•
Policy-as-code for continuous compliance verification
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Continuous compliance monitoring for real-time transparency
•
Audit trails and automated evidence documentation
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Compliance-focused architecture with security and traceability
🔄 Cultural Aspects
•
Shared understanding of responsibility for compliance within the team
•
Transparency about regulatory requirements and risks
•
Compliance as a quality attribute, not an obstacle
•
Early involvement of audit and compliance in development decisions
•
Continuous learning about regulatory changes
How do you overcome typical resistance to agile transformation?
Resistance is a natural part of any deep-reaching transformation. Understanding and systematically addressing this resistance is critical to the success of an agile transformation.
🧠 Psychological Foundations of Resistance
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Fear of loss: Concern about influence, status, or established ways of working
•
Uncertainty: Lack of clarity about personal implications
•
Loss of competence: Fear that existing expertise will be less valued
•
Identity conflicts: New ways of working clash with self-perception
•
Skepticism from experience: Previous change initiatives without lasting impact
👥 Typical Resistance Groups and Patterns
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Middle management: Loss of control and clear hierarchy (reported in 78% of transformations)
•
Subject matter experts: Concern about the devaluation of specialized knowledge
•
Process owners: Fear of chaotic, unstructured workflows
•
Compliance/regulation: Concern about loss of control and risks
•
Long-tenured employees: Resistance to changing established practices
🛠 ️ Strategies for Overcoming Resistance
•
Stakeholder-specific change narrative: Individual value argumentation
•
Participative transformation: Active involvement of skeptics in the design process
•
Barrier removal teams: Dedicated teams for identifying and eliminating obstacles
•
Piloting and early wins: Visible evidence of added value
•
Transparent communication: Open handling of challenges and learning processes
🌱 Cultural Approaches for Lasting Change
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Psychological safety as the foundation for readiness to change
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Preserving valuable aspects of the existing culture (not everything needs to change)
•
Visible role models at the leadership level (leadership role modeling)
•
Communities of practice for peer learning and mutual support
•
Recognition systems for readiness to change and agile mindset
What impact does remote/hybrid work have on agile practices and transformations?
Remote and hybrid working models have significant implications for agile practices and present organizations with the challenge of rethinking and adapting agility in distributed contexts.
🌐 Challenges of Distributed Agile Work
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Informal communication: Loss of spontaneous interactions and implicit knowledge transfer
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Team building and trust: More difficult development of psychological safety
•
Time zones and asynchronicity: Coordination across different availabilities
•
Technological infrastructure: Increased demands on digital collaboration tools
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Mental health: Isolation and work-life balance challenges
🛠 ️ Adapting Agile Practices for Remote/Hybrid
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Digitized ceremonies: Shorter, focused meetings with clear agendas
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Improved documentation: Explicit capture of context and decisions
•
Asynchronous communication methods: Combination of real-time and time-shifted coordination
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Digital Kanban boards: Transparency over work and status
•
Distributed pair programming practices: Remote pairing with screen sharing
💻 Technological Enablers
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Collaboration platforms with persistent virtual spaces (e.g., Slack, MS Teams)
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Digital whiteboarding tools for visual collaboration (Miro, Mural)
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Agile project management tools with real-time updates (Jira, Azure DevOps)
•
Video-first communication for non-verbal signals
•
Digital facilitation tools for interactive workshops
👥 Cultural and Organizational Adaptations
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Explicit working agreements for distributed teams
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Hybrid meeting formats with equal participation
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Dedicated collaboration time: Fixed times for synchronous collaboration
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Regular social activities for team building
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Local communities of practice for regional networking
How do you integrate agile budgeting and financial planning into the transformation?
Transforming to agile ways of working requires a fundamental rethinking of budgeting and financial planning in order to enable the necessary flexibility for adaptive product development while maintaining control and governance.
💰 Challenges of Traditional Budgeting
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Annual budgets with detailed project plans limit adaptability
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Feature-based funding promotes output rather than outcome thinking
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Business cases with upfront ROI create wrong incentives for unrealistic forecasts
•
Resource-based allocation makes genuine product team formation more difficult
•
Monolithic large projects tie up capital and increase risks
🏗 ️ Agile Budgeting Models
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Capacity-based funding: Long-term investment in teams rather than projects
•
Beyond Budgeting: Relative targets and continuous forecasts instead of fixed annual budgets
•
Venture capital approach: Staged funding with continuous validation
•
Value stream funding: Funding along value streams rather than functional silos
•
Objectives & Key Results (OKRs) with dynamic resource allocation
🧩 Implementation Patterns
•
Quarterly business reviews for regular portfolio adjustments
•
Lean business cases: Minimal upfront information, continuous validation
•
Epic-based funding with incremental budget release
•
Budget guardrails: Financial guardrails with decision autonomy within the framework
•
Decentralized investment decisions: Budget responsibility closer to the customer
📊 Success Metrics and Steering Mechanisms
•
Innovation accounting: Alternative metrics for early product phases
•
Cost of delay: Quantification of the value of faster time-to-market
•
ROI horizon matching: Different evaluation standards depending on the degree of innovation
•
Real options valuation: Valuation of options under uncertainty
•
Portfolio visualization for transparent investment allocation
How do you design agile working in non-IT areas?
Agile practices and principles offer significant value outside of IT as well, but require context-specific adaptation to be successful in various business areas.
🔄 Agile Practices for Non-IT Areas
•
Agile marketing: Campaigns in short iterations with continuous customer feedback (30–40% higher campaign effectiveness)
•
Agile HR: Faster recruitment and onboarding processes with continuous adaptation
•
Agile finance: Rolling forecasts and dynamic resource allocation
•
Agile product development: Cross-functional teams and iterative prototyping for physical products
•
Agile legal department: Prioritization and iterative processing of legal requirements
👥 Adapting Agile Roles and Structures
•
Business Owner as product owner equivalent
•
Agile Coach for non-technical teams and their specific challenges
•
Self-organizing teams with cross-functional composition
•
Center of Excellence for methodological support
•
Communities of practice for functional expertise
📋 Method Adaptations
•
Kanban as a low-threshold entry point for process-oriented areas
•
Scrum with adapted definitions for increments and sprint results
•
Design Thinking for customer-centric innovation processes
•
OKRs (Objectives & Key Results) for goal-oriented autonomous work
•
Lean principles for standardization and continuous improvement
🛠 ️ Implementation Approach
•
Start with visual management methods and transparency about work
•
Establish regular coordination routines and feedback cycles
•
Focus on value creation and the customer perspective
•
Gradual increase of autonomy and decision-making authority
•
Development of area-specific KPIs for agile ways of working
How do you develop an agile learning organization?
An agile learning organization is characterized by systematic knowledge capture, distribution, and application, and creates the foundation for continuous innovation and adaptability.
🧠 Structural Elements of Agile Learning Organizations
•
Communities of practice: Cross-functional expert groups for knowledge sharing
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Innersource approaches: Open-source principles for internal knowledge contributions and collaboration
•
Internal academies and learning paths: Structured development pathways
•
Rotation programs: Systematic cross-functional exchange of experience
•
Innovation labs: Protected spaces for experiments and knowledge building
🔄 Learning and Feedback Cycles
•
Team retrospectives: Regular structured reflection (increases efficiency by 25%)
•
Blameless postmortems: Constructive analysis of failures and incidents
•
Hackathons and innovation days: Focused time periods for creativity and exploration
•
Experimentation formats: Hypothesis-based learning and validated insights
•
Continuous mentoring and coaching: Personal learning support
📊 Knowledge Management 4.0• Knowledge graphs and semantic networks: Context-related knowledge representation
•
AI-assisted knowledge systems: Automatic identification of relevant information
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Digital learning experience platforms: Personalized learning paths
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Real-time collaboration tools: Synchronous and asynchronous knowledge creation
•
Learning analytics: Data-driven optimization of learning paths
🌱 Cultural Enablers
•
Psychological safety as the foundation for openness and willingness to learn
•
Error culture: Mistakes as learning opportunities rather than grounds for blame
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T-shaped skills: Balance between specialization and broad knowledge
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Growth mindset: Conviction that capabilities can be developed
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Curiosity and continuous learning as explicit corporate values
How can you work agile in highly regulated industries?
Highly regulated industries such as financial services, pharmaceuticals, or healthcare place particular demands on the implementation of agile practices, but also offer significant opportunities for competitive advantage through skillful adaptation.
🔐 Specific Challenges in Regulated Industries
•
High compliance requirements with formal documentation obligations
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Extensive documentation requirements and audit demands
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Strict risk control
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Formal approval processes with defined responsibilities
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External validation and certification requirements
🔄 Adapted Agile Practices
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Regulatory backlog: Explicit capture of regulatory requirements as user stories
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Compliance-aware Definition of Done: Integration of compliance checks
•
Dual-track Scrum: Parallel development and compliance tracks
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Regulatory sprint reviews: Early involvement of compliance experts
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Progressive documentation: Incremental completion of documentation
🏛 ️ Governance and Structural Adaptations
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Regulatory sandbox: Protected space for agile experiments in a regulated environment
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Risk-based approach: Differentiation between critical and non-critical areas
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Compliance champions in agile teams: Decentralized compliance expertise
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Agile governance boards: Fast decision-making pathways for regulatory questions
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Continuous compliance: Integration of compliance into the continuous delivery process
📊 Success Metrics and Evidence Management
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Automated compliance tests and evidence (reduces manual checks by 60%)
•
Continuous audit trail: Complete, automated traceability
•
Real-time compliance dashboards: Transparency over compliance status
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Risk KPIs: Real-time monitoring of critical risk indicators
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Validated tools and processes with regulatory acceptance
What role does AI play in agile transformation?
Artificial intelligence (AI) is emerging as a significant element in agile organizations, enhancing both the operational efficiency of agile teams and the strategic possibilities of the transformation itself.
🛠 ️ AI as an Enabler for Agile Teams
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AI-assisted development: Code generation and optimization for faster development (20–40% productivity increase)
•
Automated testing and quality assurance: AI-based test case generation and prioritization
•
Intelligent backlog management: Automatic prioritization and dependency analysis
•
Predictive analytics for sprint planning: Data-driven capacity planning
•
Natural language requirements processing: Automatic requirements analysis
📊 AI for Transformation Management and Measurement
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Transformation progress analytics: Data-driven analysis of transformation progress
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Organizational network analysis: Identification of informal networks and influence structures
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Change readiness assessment: Prediction of resistance and acceptance gaps
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Automated retrospective analysis: Recognizing patterns and trends from retrospectives
•
AI-supported effectiveness measurement of transformation measures
👥 AI for Team Collaboration and Learning
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Meeting assistants: Intelligent summarization and tracking of decisions
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Knowledge management: Automatic capture and contextualization of knowledge
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Personalized learning journeys: Individual learning paths for agile roles
•
Team collaboration analytics: Identification of communication patterns and barriers
•
Intelligent pairing and mentoring: Data-driven team composition
⚖ ️ Ethical and Practical Considerations
•
Transparency of AI decision-making for team acceptance
•
Balance between AI automation and human judgment
•
Data privacy by design in all AI applications
•
Continuous learning and adaptation of AI models to team specifics
•
Democratization of AI usage through no-code/low-code platforms
How do you measure the return on investment (ROI) of an agile transformation?
Measuring the ROI of an agile transformation requires a nuanced understanding of direct and indirect value contributions as well as a comprehensive evaluation approach that goes beyond traditional financial metrics.
💰 Direct Financial Value Contributions
•
Time-to-market reduction: Earlier revenue through faster product launch (25–50% improvement possible)
•
Development efficiency: Higher productivity and reduced development costs per feature
•
Error reduction: Lower defect remediation costs through early feedback
•
Portfolio efficiency: Better resource allocation through faster failure of uneconomical initiatives
•
Economies of scale: Improved reuse and shared utilization of assets
📈 Indirect and Long-Term Value Creation
•
Increased market adaptability: Faster response to market changes
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Employee engagement and retention: Reduced turnover costs
•
Innovation capacity: More experiments and new ideas
•
Customer-centricity: Improved customer loyalty and satisfaction
•
Organizational resilience: Stability in volatile market environments
🧮 Calculation Approaches and Models
•
Cost of delay: Quantification of the value of faster time-to-market
•
Real options valuation: Valuation of flexibility and adaptability
•
Innovation accounting: Specific metrics for innovative initiatives
•
Balanced scorecard: Balanced consideration of various value dimensions
•
Transformation progress index: Composite metric for transformation progress
⏱ ️ Temporal Course of Value Realization
•
Short-term (0–
12 months): Efficiency gains and quick wins
•
Medium-term (1–
2 years): Improvement of time-to-market and quality
•
Long-term (2+ years): Strategic advantages through greater adaptability and innovation
•
Breakeven point typically after 12–
18 months
•
Full value realization after 3–
5 years
How do you manage large, long-term projects in agile organizations?
Large, long-term projects present a particular challenge for agile organizations, but can be successfully managed through a combination of structured planning, incremental implementation, and adaptive steering.
🏗 ️ Structuring Approaches for Large Initiatives
•
Modularization: Division into independently deliverable components
•
Minimum Viable Product (MVP) approach: Early provision of core functionality
•
Architectural slicing: Cuts along technical boundaries for parallel development
•
User journey slicing: Division along complete user paths
•
Portfolio level with coordinated release trains for related functionalities
📋 Planning and Coordination Models
•
Rolling wave planning: Detailed near-term planning, rough long-term planning
•
Progressive elaboration: Stepwise refinement of requirements and planning
•
Quarterly business reviews: Regular strategic adjustment of the roadmap
•
Planning onion: Cascaded planning levels from strategy to daily work
•
Coordinated milestones for cross-team dependencies
⚙ ️ Specific Agile Practices for Large Projects
•
Spike solutions: Time-boxed explorations for technical or business uncertainties
•
Feature toggles: Independent deployment and release decisions
•
Continuous integration/deployment: Early integration of sub-components
•
Set-based design: Parallel exploration of multiple solution approaches
•
A/B testing: Data-driven decision-making for critical design decisions
🔍 Risk and Success Management
•
Risk-based prioritization: Early addressing of critical risks
•
Continuous risk assessment: Regular reassessment and adaptation
•
Earned business value: Measurement of actually realized business value
•
Health metrics: Early warning indicators for project complexity and progress
•
Stage gates with explicit go/no-go decisions for investment tranches
How do you effectively manage agile portfolios?
Agile portfolio management combines strategic alignment with operational flexibility and enables dynamic resource allocation based on continuous reassessment and adaptation to changing business priorities.
🎯 Strategic Alignment and Prioritization
•
Strategic themes: Long-term, value-based investment areas
•
OKRs (Objectives & Key Results): Cascading strategic objectives to the portfolio level
•
Value stream mapping: Identification and optimization of value streams
•
Portfolio Kanban: Visualization, limitation, and prioritization of strategic initiatives
•
WSJF (Weighted Shortest Job First): Economic prioritization based on value/effort
⚖ ️ Governance and Decision Processes
•
Lean governance board: Lean, cross-functional decision-making body
•
Lightweight business cases: Minimized upfront information, iterative validation
•
Dynamic funding models: Flexible budget allocation instead of annual budgets
•
Portfolio sync events: Regular alignment between teams and portfolio level
•
Decentralized decision-making: Decisions at the lowest possible level
📊 Portfolio Measurement and Steering
•
Portfolio predictability: Predictability of delivery of strategic initiatives
•
Strategic alignment metrics: Alignment between investments and strategy
•
Innovation rate: Share of experimental and new initiatives (recommended: 10–20%)
•
Portfolio health metrics: Overall condition of the portfolio (risks, dependencies, etc.)
•
Portfolio visualization: Transparent representation of investments and value contributions
🔄 Adaptive Portfolio Adjustment
•
Quarterly portfolio reviews: Regular review and adjustment
•
Dynamic roadmapping: Flexible, outcome-based planning instead of fixed feature lists
•
Strategy deployment: Cascading strategy changes into the portfolio
•
Portfolio retrospectives: Systematic improvement of the portfolio management process
•
Continuous portfolio refinement: Ongoing adjustment instead of point-in-time replanning
Success Stories
Discover how we support companies in their digital transformation
Generative KI in der Fertigung
Bosch
KI-Prozessoptimierung für bessere Produktionseffizienz
Fallstudie
Ergebnisse
Reduzierung der Implementierungszeit von AI-Anwendungen auf wenige Wochen
Verbesserung der Produktqualität durch frühzeitige Fehlererkennung
Steigerung der Effizienz in der Fertigung durch reduzierte Downtime
AI Automatisierung in der Produktion
Festo
Intelligente Vernetzung für zukunftsfähige Produktionssysteme
Fallstudie
Ergebnisse
Verbesserung der Produktionsgeschwindigkeit und Flexibilität
Reduzierung der Herstellungskosten durch effizientere Ressourcennutzung
Erhöhung der Kundenzufriedenheit durch personalisierte Produkte
KI-gestützte Fertigungsoptimierung
Siemens
Smarte Fertigungslösungen für maximale Wertschöpfung
Fallstudie
Ergebnisse
Erhebliche Steigerung der Produktionsleistung
Reduzierung von Downtime und Produktionskosten
Verbesserung der Nachhaltigkeit durch effizientere Ressourcennutzung
Digitalisierung im Stahlhandel
Klöckner & Co
Digitalisierung im Stahlhandel
Fallstudie
Ergebnisse
Über 2 Milliarden Euro Umsatz jährlich über digitale Kanäle
Ziel, bis 2022 60% des Umsatzes online zu erzielen
Verbesserung der Kundenzufriedenheit durch automatisierte Prozesse
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