ARTIFICIAL INTELLIGENCE

Value Propositions

  • Analysis of relevant market developments and identification of the best AI solutions and practices for your specific industry.
  • Development of tailored AI strategies, establishment of secure governance and support during organizational rollout.
  • Fast and risk-minimized development of functional prototypes to validate AI use cases in your organization.
  • Empowering your teams through targeted training and workshops for the secure and value-creating use of (generative) AI.

Selection of Methods

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AI Use Case Canvas

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AI Maturity Model

Use Cases

Demand
Identification and validation of a profitable AI use case.

Approach

  1. Status quo analysis of existing processes and data infrastructure
  2. Analysis of relevant AI trends and competitor solutions
  3. Selection of the use case with the highest ROI potential
  4. Risk-minimized development of a functional prototype (PoC)
  5. Evaluation of technical feasibility and implementation costs
  6. Development of a rollout and business plan

Result
Validated AI prototype (PoC) with a positive business case.

Demand
Anchoring artificial intelligence in corporate processes and work culture.

Approach

  1. Clarification of requirements and concerns of relevant stakeholders
  2. Creation of a secure enterprise-wide AI guideline (Governance & Compliance)
  3. Selection of suitable AI tools for everyday work (e.g., MS Copilot, ChatGPT)
  4. Training and coaching of employees in the secure use of the tools
  5. Establishment of an internal “AI Ambassador” network for scaling

Result
Secure, productivity-enhancing, and widespread use of AI by the workforce.

Demand
Temporary professional leadership to establish an internal AI or Data department.

Approach

  1. Analysis of the status quo of data infrastructure and analytics capabilities
  2. Derivation of personnel buildup and development needs (e.g., Data Scientist, AI Engineer)
  3. Temporary professional and disciplinary leadership of the team
  4. Support in the recruiting process for permanent positions
  5. Establishment of agile development processes for AI products
  6. Smooth handover to internal management 

Result 
Operational internal AI unit with clear responsibilities and processes.

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