Services / AI Operating Model / Framework
AI Operating Model Framework
Eight elements, one system: how target picture, organization, skills, roles, metrics, governance, processes and technology shift through AI.
The eight elements at a glance
Eight elements together form the operating model. Through AI, what applies shifts in every element – from today's logic to the target picture.
From – to: the eight shifts
From (today)
To (target picture)
01 · Target Picture & Strategy
- Optimizing existing processes
- Growth through more headcount
- Rethinking value creation
- Scaling with AI, not with headcount
02 · Organization Structure
- Functional silos
- Many handovers
- End-to-end workflows
- Clear process ownership
04 · Responsibility & Roles
- Executing work
- Task-based roles
- Steering and controlling
- Leading AI-supported work
05 · KPIs & Measurement
- Output (volume, speed)
- Activity focus
- Impact (quality, results)
- Customer focus
06 · Governance
- Basic oversight
- Low automation risk
- Steering and accountability for AI
- Risk and quality management
07 · Processes & Workflows
- Fragmented and manual
- Slow execution
- Automated and integrated
- Fast, AI-supported processes
Each element has its own page with guiding questions, typical mistakes and deliverables.
The logic behind it
The workflow replaces the function as the organizational unit. This leads to new allocations of responsibility, new roles, different metrics and a governance framework of its own.
The elements interlock. Those who only introduce technology without adapting roles and rules shift effort – they do not solve it.
The sequence can be designed. We start where the value contribution is greatest, usually with target picture and processes, and develop the remaining elements along the workflows.
Would you like to align your operating model with AI?
We are glad to discuss with you where AI can create impact in your organization – and which structures, roles and rules are needed for it.