Architecture and governance for AI/LLM and RAG platforms, mapped to AI RMF and EU AI Act requirements from day one.
AI/LLM deployments in enterprise and regulated environments create documentation and governance challenges that traditional technology frameworks were not designed to address. A large language model deployment is not just a software release — it is an AI system subject to the EU AI Act, NIST AI RMF, sector-specific regulatory requirements, and the governance obligations of the institution deploying it. Documentation of that system — architecture, intended use, risk management, data governance, testing methodology, and monitoring — must exist before the system is examined, not after.
ELDR Technology's AI/LLM practice provides architecture design, governance documentation, and regulatory alignment for organizations deploying AI and LLM platforms in production. From RAG architecture design through AI RMF implementation documentation and EU AI Act technical file preparation, the practice ensures that AI platform enablement produces defensible institutional artifacts alongside functional technology.
All technology engagements are scoped and confidential. Contact technology@eldrinc.com
Get StartedDesign of retrieval-augmented generation (RAG) architectures for enterprise AI deployments — vector database selection, embedding pipeline design, context management, and response governance documentation.
Governance documentation aligned with NIST AI RMF (GOVERN, MAP, MEASURE, MANAGE) and EU AI Act requirements — risk classification, technical documentation, and conformity assessment support.
End-to-end MLOps pipeline architecture from data ingestion through model training, evaluation, registry management, deployment, and monitoring — with governance documentation at each stage.
Structured model documentation covering model description, intended use, performance metrics, evaluation results, biases, limitations, and ethical considerations — aligned with EU AI Act Article 11.
AI governance policy suites covering acceptable use, ethics, transparency, human oversight, and incident response — aligned with organizational risk tolerance and applicable regulatory requirements.
Risk classification, conformity assessment, technical documentation, and Declaration of Conformity preparation for high-risk AI systems under EU AI Act 2024/1689.