Many organizations have already started experimenting with Agentic AI – often with mixed or uncertain outcomes:
- Is your solution struggling to gain traction?
- Do you find it challenging to assess whether RAG, GraphRAG, or Knowledge Graphs are relevant to your business case – and why?
- Are you noticing that outputs from LLMs frequently lack reliability, with issues like forgetting, hallucinations, or inconsistent answers that limit business impact?
You are not alone. Agentic AI is a fast-evolving and complex field. Without a clear strategic framework, initiatives can easily stall or fail to deliver measurable value.
With our Agentic AI Health Check, sol4data GmbH helps executives and technology leaders answer the critical questions:
- Where are the biggest opportunities for improvement and ROI?
- Which technologies should be applied to create sustainable business value?
- How can your AI solution become more robust, transparent, and strategically aligned with your goals?
If you believe your Agentic AI could deliver more impact than it currently does, let’s talk. Together, we’ll define a clear roadmap toward a scalable, reliable, and value-generating AI solution.
Audit Framework for Knowledge-Centric AI Systems
This document defines a pragmatic, minimum-viable audit and governance framework for organizations deploying knowledge-centric AI systems in regulated or high-trust environments. It is intentionally lightweight, but structurally rigorous. The framework is not designed to introduce additional bureaucracy, nor to prescribe a specific technology stack...
Read more+Sovereign AI
Sovereign AI is about independence from hyperscalers and European values in AI – sol4data implements it: Fully European components (hosting, data management, interfaces) without quality loss, with customer choice between on-premises and cloud. Economically optimal often in the cloud for efficient operations, scaling, and maintenance. Core: Architectural freedom, technological diversity, data sovereignty, and economic focus.
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