Our approach for AI roadmap and implementation in SMEs | Prozesskraft
A clear roadmap: orientation, AI roadmap, prototype implementation, Managed AI Operations and training. Modular, cost-transparent and without long-term commitment.
Our roadmap
From idea to running system
Our method combines strategy, software development and operations in a consistent model. Each company starts at a different point, so each step can be commissioned individually.

Create Orientation
We start with a compact workshop. Together we examine processes, data situation and goals and define measurable metrics. This clarifies whether the use of artificial intelligence and process automation is worthwhile.
Outcome
Orientation Workshop

Develop the AI Roadmap
Subsequently, a plan emerges that is structured in stages. Each stage contains tasks, time requirements, budget framework and responsibilities.
Outcome
AI Roadmap

Build prototypes and productive solutions
An interdisciplinary development team creates the first prototype directly in your system landscape. Function and benefit become visible in a short time. After approval, the prototype grows step by step into a productive solution.
Outcome


Managed AI Operations
After go-live, we take over operations, monitoring and optimization. Performance and costs remain traceable at all times.
Outcome


Training and enablement
We provide specialists and managers with the necessary knowledge so that the solution is accepted and further developed in everyday life.
Outcome
Trainging and Enablement
Why this approach works

One team for strategy and implementation:
No handovers to third-party providers, no information loss.
No handovers to third-party providers, no information loss.

Modular and risk-free:
Each step can be commissioned separately. You maintain full cost control.
Each step can be commissioned separately. You maintain full cost control.

Success-dependent compensation:
Part of our fee depends on the agreed metrics.
Part of our fee depends on the agreed metrics.

TISAX-certified processes:
Data and models remain in the EU.
Data and models remain in the EU.


