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Meinhardt AI Centre of Excellence

RAG platform deployed across 6,000+ engineers.

Domain-specific RAG platform deployed across six regional offices, trained on internal design standards, project documentation, and regulatory references. AI-assisted design review runs through human-in-the-loop governance gates, so an engineer, not the model, is accountable for every AI-assisted decision made on the platform.

The Challenge

Engineering teams across multiple regions were spending significant time on routine information retrieval, design review, and documentation cross-referencing. The challenge was deploying an AI system that engineers trusted, that met enterprise security requirements, and that improved measurable output without creating dependence.

The Approach

Built a domain-specific RAG platform trained on Meinhardt's internal design standards, project documentation, and regulatory references. Human-in-the-loop review gates kept engineers accountable for AI-assisted decisions. Governance framework aligned with Singapore's IMDA MGF-Agentic guidelines.

The Outcome

Over 20% reduction in engineer time on routine tasks. AI-assisted design review deployed across six regional offices. Zero security incidents. The three-tier governance model (decide autonomously, human-checked, human-approved) was carried into the Group's AI deployment standards, replacing the ad hoc, project-by-project approach that came before it.

SME Takeaway

A retrieval system trained on your own documentation (product specs, proposals, service manuals) consistently outperforms a generic AI on your actual work. The governance rule is the same at any scale: classify every task by whether the AI decides alone, requires a human check, or cannot act without approval.

Decision Framework

AI Task Classification Decision Matrix

The three-tier classification system used to govern every AI action on the platform: decisions the AI takes autonomously, decisions requiring a human review before execution, and decisions that require explicit human approval. Includes the classification logic, escalation criteria, and the audit trail structure for each tier.

Apply This to Your Business

The same diagnostic logic from deployments like this one, applied to your business in half a day.

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External References & Verification

Meinhardt Group Annual Sustainability Report: referenced as evidence of responsible AI practice and governance maturity
Singapore IMDA Model Governance Framework for Agentic AI: governance model aligned to published guidelines

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