Delphi | Leading Government Housing Establishment – Enterprise Knowledge Management Platform

Leading Government Housing Establishment – Enterprise Knowledge Management Platform

Government / Housing

UAE

Azure AI Foundry, Azure Container Apps, Agno

Enterprise Knowledge Management Platform

An AI-powered Enterprise Knowledge Management platform that centralises all organisational documents and enables secure, evidence-based retrieval through natural language chat — available in Arabic and English. The system uses Generative AI with Retrieval-Augmented Generation (RAG) to provide accurate answers with document citations, while enforcing strict role-based access control and governance rules — transforming static document storage into an intelligent, searchable knowledge ecosystem.

Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.

Organisational documents were stored in static repositories with no intelligent retrieval mechanism, making it difficult for staff to find accurate policy and governance information quickly.

Staff required a bilingual (Arabic and English) natural language interface to access organisational knowledge, which existing systems could not support.

Ensuring that AI-generated responses were grounded in approved documents with proper citations — rather than hallucinated content — was a critical accuracy and compliance requirement.

Strict role-based access control was needed to ensure that users could only access documents and knowledge sources appropriate to their authorisation level.

Transforming a large, dispersed document repository into a governed, intelligent knowledge ecosystem required a scalable platform architecture aligned to government compliance standards.

Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.

Built an AI-powered knowledge management platform using Generative AI with RAG, enabling staff to query organisational documents through natural language in Arabic and English.

Implemented document citation in all AI responses, ensuring every answer is traceable to its source document and fully auditable for compliance purposes.

Enforced strict role-based access control and governance rules across all knowledge interactions, ensuring users access only authorised content based on their permissions.

Deployed the solution on Azure using Azure AI Foundry, Azure Container Apps, and Agno for agent orchestration — providing a scalable, enterprise-grade platform architecture.

Transformed static document storage into an intelligent, searchable knowledge ecosystem, enabling accurate, real-time knowledge retrieval across the entire organisation.

Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.

Staff can now access accurate, document-grounded answers in Arabic and English through natural language queries, significantly reducing the time spent searching for policy information.

Document citation in every AI response ensured full traceability and auditability, strengthening compliance confidence across the organisation.

Role-based access controls ensured knowledge was accessed securely and appropriately, reducing information governance risk across the platform.

The transformation of static document storage into an intelligent, searchable ecosystem improved organisational knowledge accessibility and decision-making speed.

A scalable, governed platform architecture provided the foundation for future expansion of knowledge management capabilities across additional document domains.

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UAE

14th Floor, Suite no.1407, Concord Tower, Dubai Media City, PO Box 451893, Dubai.

KSA

7783 Ibn Katheer St – King Abdulaziz DistrictRiyadh 12233 – 4264, Kingdom of Saudi Arabia.

INDIA

Ground & First Floor, Worldmark 1, Asset Area 11,Aerocity, Hospitality District,Near Indira Gandhi International Airport (NH-8),New Delhi – 110037, India

USA

100 N Howard ST STE W, Spokane, WA, 99201-0508, United States

UK

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