CASE STUDY — CROSS-INDUSTRY
AI Landing Zone
Empower secure AI adoption with enterprise-grade solutions
Sector:
Cross-industry
Focus:
AI Landing Zone & Secure Enterprise AI
BUSINESS CHALLENGE
Lack of control over generative AI exposing sensitive data
The lack of control over generative AI exposed sensitive data, violated compliance requirements, and increased risks. Without a dedicated platform, RAG solutions depended heavily on technical teams. A dedicated platform enables access, empowering users.
SOLUTION IMPLEMENTED
A secure AI platform for internal document interaction
Implemented a secure AI platform enabling employees to interact with internal documents via a private chatbot. The solution logs interactions, secures data with virtual networks and private endpoints, and integrates with enterprise systems, ensuring compliance and full control over AI usage.
TECHNOLOGY
Built on a secure, enterprise-grade Azure AI stack
DATA PLATFORM
Azure Data Lake Gen2
Leveraged for secure document storage and management, enabling advanced search and retrieval functionalities.
SERVING
Azure Kubernetes Service
Deployed the chatbot on AKS, providing scalability and ensuring high availability for global users.
ANALYTICS
Microsoft Fabric & Azure FOUNDRY
Customized OpenAI models for natural language queries, tailored to corporate language and securely integrated with internal systems.
Results & ROI
What changed once the dashboard went live
DATA SECURITY
Mitigated risks of data exposure, ensuring compliance with industry standards and protecting sensitive information.
EFFICIENCY
Streamlined document access through the chatbot, reducing time spent searching for critical information.
COST SAVINGS
Enabled precise monitoring of AI usage, optimizing resources and reducing unnecessary operational costs.
