Meinhardt AI Centre of Excellence
RAG platform deployed across 6,000+ engineers.
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.
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.
Over 20% reduction in engineer time on routine tasks. AI-assisted design review deployed across six regional offices. Zero security incidents. Governance model became the template for the Group's AI deployment standards.
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.
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.
Request this document →The same diagnostic logic from deployments like this one, applied to your business in half a day.
Book the Workshop- 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
Other case studies.
KELIX Enterprise AI Platform
Enterprise AIProprietary private cloud AI engine built for 6,000+ engineers on multi-billion dollar projects.
Read →Global AI Governance Framework
GovernanceGovernance standards for AI deployments across Asia and the Middle East.
Read →NEOM Bay Airport Digital Strategy
InfrastructureAI-driven operational intelligence for a greenfield international airport.
Read →Sultan Haitham City IOCC, Oman
Smart CitiesCity-scale integrated operations control for a new urban development.
Read →AI-Enabled Enterprise Operations Platform
Enterprise AIUnified ERP bringing project management, finance, HR, and real-time BI into one environment.
Read →DIFC Enterprise Campus Network Design Review
InfrastructureIndependent peer review establishing the technical baseline for DIFC 2.0 network infrastructure.
Read →Infrastructure Capability Diagnostic Framework
GovernanceFour-phase diagnostic framework informing over US$60B in infrastructure investment decisions.
Read →SOHAR Smart City, Oman
Smart CitiesSmart city strategy for Oman's 6.24M sqm "5-minute city" serving 70,000+ residents.
Read →NEOM Magna Smart City Master Plan
Smart CitiesSmart city framework for a 406 km² eco-tourism destination on the Gulf of Aqaba.
Read →