AI success starts with the right plan.

AI Consulting: Think strategically, execute effectively

Tailored AI strategies for long-term success: We support you in identifying the potential of AI technologies and integrating them into your business models – from strategic planning and use case definition to implementation.

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Our Consulting Approach

Our AI consulting follows a clearly structured 6-step process – from strategy to scaling and optimization. This ensures that every solution is practical, economically viable, and built for long-term impact.

1. Strategy

Identification of use cases, stakeholder analysis, and ROI assessment

2. Planning

Resources and budget, technology selection, and governance setup

3. Capacity Building

Team training, partner networks, and establishment of a Center of Excellence (CoE)

4. Piloting

Development of Proof of Concept (PoC), execution of pilot projects, and data management

5. Scaling

Integration into processes, workflow adaptation, and automation

6. Optimization

KPI monitoring, model fine-tuning, and strategy refinement

AI Implementation Covered End-to-End – From Idea to Reality

We’re with you every step of the way – starting with discovery workshops and figuring out what you need, all the way to prioritizing and rolling out powerful, customer-focused use cases. Our end-to-end approach makes sure every (pilot) project supports your big-picture goals and delivers real, measurable value.

AI Discovery Workshop

In a workshop, we work together with you to identify relevant use cases and concrete AI opportunities within your organization.

Strategy and Analysis

We create a customized AI strategy, analyze the business value of potential projects, and assess technical risks and limitations.

Technical Implementation

We handle prototyping and implementation, integrate the Composable AI Suite as a starting solution, and tailor it to fit your system landscape.

Responsible AI

Through bias checks, security monitoring, and clearly defined responsibilities, we create transparency around algorithms and data, ensuring a robust and trustworthy AI.