AI Transformation
🎯

AI Consulting

Use case identification, ROI assessment and strategic roadmaps for successful AI deployment in your organization.

Start AI Assessment → All AI Transformation Services

✓ What We Offer

✓ AI Readiness Assessment
✓ Use Case Identification & Prioritization
✓ ROI Analysis & Business Case
✓ Technology Selection (Build vs. Buy)
✓ Proof of Concept Guidance
✓ AI Governance & Ethics
✓ Change Management & Training
✓ Vendor Evaluation (OpenAI, Google, Microsoft, Open-Source)

The Right Start with AI

Many companies know AI is important – but don’t know where to start. We help you identify the right use cases and find a pragmatic path to implementation.

Our Consulting Approach

1. Discovery Workshop

We start with an intensive workshop to understand your company, processes, and goals. We identify:

  • Pain points and inefficiencies
  • Data sources and quality
  • Quick wins vs. strategic initiatives

2. Use Case Prioritization

Not every use case is equally valuable. We evaluate potential applications by:

  • Business Impact – What value does it add?
  • Feasibility – Do we have the data and skills?
  • Time to Value – How quickly will we see results?

3. Technology Fit

The best technology depends on your requirements:

  • Enterprise AI (OpenAI, Azure AI, Google Vertex) for fast time-to-market
  • Open-Source (Llama, Mistral, Ollama) for data sovereignty
  • Hybrid – the best of both worlds

4. Roadmap & Governance

We deliver a concrete roadmap with:

  • Prioritized use cases
  • Technology recommendations
  • Resource planning
  • Governance framework for responsible AI use

What You Get

  • Clarity about AI potential in your organization
  • Concrete use cases with ROI estimates
  • Technology recommendation matching your requirements
  • Actionable roadmap with clear next steps

Frequently Asked Questions

How do we find the right AI use cases for our company?

We start with an AI Readiness Assessment that analyzes your processes, data landscape and business objectives. From this we identify use cases with the best ratio of feasibility to business impact and prioritize them in a strategic roadmap.

Build vs. buy - when does a custom AI solution make sense?

Off-the-shelf SaaS solutions work well for standard tasks like translation or summarization. Custom development pays off when proprietary data creates a competitive advantage, specific workflows need to be mapped, or data privacy requirements speak against cloud APIs.

What does an AI proof of concept cost?

A typical PoC takes 4-8 weeks and includes use case definition, data preparation, prototype development and evaluation. The investment depends on complexity but typically falls in the mid five-figure range.