Resources voor serieuze AI-kopers.
Gecureerde gidsen, trust materials, case studies en evaluatiecontent — onderdeel van de NeuroCluster documentatiebibliotheek.
Uitgelicht
Begin met de meest relevante evaluatiecontent voor trust review en productieplanning.
Trust Center for security, legal, and procurement review
Review contracting context, deployment boundaries, residency assumptions, controls, and available evaluation evidence.
Lees meer TrustAI Act readiness context
A workflow-specific view of logging, human review, documentation support, and customer-side responsibilities.
Lees meer GuideHow to move a regulated AI use case from pilot to production
A practical guide for teams that need stakeholder alignment, deployment boundaries, and a realistic first engagement.
Lees meer Case StudyProgramme-led rollout patterns for regulated teams
See how structured pilot-to-production motions differ from generic AI platform procurement.
Lees meer DocumentProcurement Pack for security, legal, and architecture review
Everything a buyer needs to evaluate the delivery model, deployment assumptions, and available trust materials.
Lees meer GuideWhat platform controls actually matter in regulated AI delivery
A sober breakdown of what to review before approving an AI workflow in a sensitive environment.
Lees meerRecente gidsen
Architectuur, governance, sectorvereisten en operationele stappen voor gereguleerde AI.
Alle gidsen →Geitje 2: A Dutch Language Foundation for Agentic AI
Why NeuroCluster built Geitje 2 — a Dutch-first language foundation and preprocessor layer for governed agents, tools, and local enterprise workflows.
agentsImplementing AI Governance Policies for the Enterprise
How to enforce deterministic corporate governance over probabilistic AI agents using policy firewalls and the Agentic Governance Framework (AGF).
agentsHuman-in-the-Loop (HITL) Architecture for AI Compliance
The technical architecture of Human-in-the-Loop (HITL) systems — a mandatory requirement for deploying high-risk AI under the EU AI Act.
agentsMLOps in Regulated Environments: The 2026 Shift to LLMOps
How LLMOps replaces traditional MLOps in 2026: agent orchestration, sandbox isolation, reasoning audit trails, and sovereign CI/CD for regulated industries.
agentsThe Architecture of Multi-Agent AI Systems in the Enterprise
How multi-agent AI systems use specialized models, intelligent routing, and secure sandboxes to automate complex enterprise workflows safely and affordably.
innovationMoving AI from Pilot to Production in Regulated Enterprises
A technical methodology for safely moving AI prototypes from Jupyter notebooks into secure, compliant production environments.
innovationUnderstanding the EU AI Regulatory Sandbox Framework
What are AI Regulatory Sandboxes under the EU AI Act? Learn how controlled environments enable organizations to test innovative AI applications compliantly.
innovationWhy Your Corporate Azure Tenant is Blocking AI Innovation
Why locked-down corporate Azure tenants kill AI innovation — and how sovereign AI sandboxes let teams ship in weeks instead of waiting months for IT approval.
sectorsAI in Energy and Grid Management: Solving Network Congestion
How European energy grids use sovereign AI agents to predict congestion, optimize load balancing, and maintain NIS2 compliance.
EU AI Act Compliance Checklist & Veelgestelde Vragen
Verplichte checklist en antwoorden op de 15 meest urgente vragen over de EU AI Act voor enterprises en Europese AI-architecten.
EU AI Act Compliance Checklist & FAQ
A comprehensive FAQ and checklist regarding the EU AI Act, high-risk systems, general-purpose models, and critical enforcement dates.
How to Deploy AI Agents Securely: Enterprise FAQ
Learn how to secure AI agents in the enterprise using sandboxes, RBAC, human-in-the-loop (HITL) processes, and deterministic orchestration.
What is AI Data Sovereignty? The Definitive FAQ
Comprehensive FAQ explaining AI data sovereignty, the CLOUD Act, GDPR conflicts, and how European models maintain compliance.