Services

AI-integrated Operating Models

We help organizations design and implement innovation systems that are built for the age of AI. By integrating AI into innovation processes, operating models, and governance structures, we enable teams to generate insights faster, explore opportunities more effectively, and make better-informed decisions.

Our approach ensures that AI is applied where it creates measurable value — augmenting human expertise in research, exploration, and execution. The result is a future-ready innovation system that combines human judgment with AI-powered insight to drive continuous innovation and sustainable growth.

What

AI-integrated Operating Models in action 

Organizations face growing challenges when integrating AI into their innovation and decision-making processes:

  • Translating AI potential into practical applications that create real business value
  • Integrating AI into existing innovation processes and organizational structures
  • Ensuring responsible governance and clear decision frameworks for AI-supported work
  • Building innovation and AI fluency across teams and leadership
  • Scaling innovation practices across the organization while maintaining strategic alignment
Capability Building Challenge

We deliver a structured methodology:

  1. Current-State Assessment: Analyze the existing innovation system, processes, and governance to identify opportunities for AI integration
  2. Operating Model Design: Design innovation operating models that integrate AI into research, exploration, and decision-making processes
  3. Pilot Implementation: Test AI-enabled innovation practices in pilot initiatives to validate value and refine the approach
  4. Scaling & Governance: Establish governance, capabilities, and processes to scale AI-enabled innovation across the organization
Capability Building Approach
  • Innovation Operating Model: A future-ready operating model integrating innovation methods, governance, and AI-enabled workflows
  • Governance Framework: Clear decision structures and responsible AI practices for innovation and strategy processes
  • Capability Development: Programs to build innovation and AI fluency across teams and leadership
  • AI-Enabled Innovation Practices: Practical tools, workflows, and playbooks to integrate AI into everyday innovation work
Capability Building Outcome

Example Timeline

Project duration: ~ 6 months

Week 1-2

Current-state assessment and opportunity identification

Week 3-4

Operating model and governance design

Week 5-6

Pilot implementation of AI-enabled innovation practices

Week 7-8

Scaling roadmap and capability development plan

Cases

DRIVING IMPACT THROUGH AI-integrated Operating Models