FSM Strategy
1
Data & AI Knowledge-building
Todos
- Knowledge development in the field of AI, including facts and figures from the market
- Practical application on FSM-specific use cases
- Outlook 2024 and impulses
- For subsequent processing: collecting use case longlisting, requirements in the company, etc. (via digital survey)
Modus
- Half-day workshop
- Digital follow-up survey
2
Quick Check Status Quo
Todos
- KReview of strategy documents relevant to “AI strategy” discussions
- Sharpening understanding of the current state of knowledge, possibilities and use of AI
- Check the maturity level of implemented and planned use cases
Modus
- Eraneos check (documents)
- Interviews w/ relevant stakeholders
3
FSM Target Picture
Todos
- Derivation of hypotheses for an AI target image
- Definition of the framework conditions for “AI@XXX”(e.g. ethical and legal framework conditions, business goals and requirements)
- Sharpening the role of the department/division in the corporate context
Modus
- Two half-day workshops (minimum)
4
FSM Use Cases
Todos
- Knowledge development in the teams (analogous to II)
- Definition of concrete use cases within the defined project framework (see III)
- Subsequent prioritization of use cases (e.g. according to business value, feasibility, risk)
Modus
- Working sessions with experts of different areas
- Alternative: consolidated approach for all areas
5
AI-Driven FSM roadmap
Todos
- Consolidation of project results in a holistic vision
- Transfet of the target picture into a roadmap for both (a) implementation of use cases and (b) organizational integration in the company
- Definition of responsibilities
Modus
- Follow-up by Eraneos with experts
- Final workshop w/ relevant stakeholders
Our step-by-step approach
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