Implementation Roadmap and Continuous Evaluation

Implementation requires a step-by-step approach, moving from pilot projects to scaling. Cloud solutions are crucial in this regard, as they enable flexibility and a scalable infrastructure without large upfront investments.

1. Pilot Phase (PoC): Select a priority use case with a rapid ROI (e.g., email agent or voice bot). Development can be carried out quickly using LCNC platforms.

2. MVP Development: Establish the architectural foundation, particularly the RAG architecture, to ensure the secure use of internal LLMs and leverage internal consulting expertise.

3. Scaling (Deployment): Industrial deployment of the solutions through the introduction of MLOps processes that ensure automated model validation and deployment.

4. Continuous Audit and Refinement: Regular evaluation of AI initiatives and the AI ​​portfolio. A crucial feedback loop must be established in which the performance of the models in real-world scenarios continuously leads to refinements and retraining of the ML models, thus sustainably securing the competitive advantage.