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 Learn more