Nortal Enhances Hiring with AI Agent Using Microsoft Azure OpenAI and AI Search
Nortal, a strategic innovation and technology company, transformed its hiring process by developing an AI agent integrated into their internal system to analyze job descriptions and match candidates from a database of 150,000 profiles. The AI agent reads and extracts key job requirements, then queries and ranks candidates based on role alignment, providing insights on each candidate's strengths and weaknesses. The solution was co-developed with Microsoft's AI Co-Innovation Labs using Azure OpenAI, Azure AI Search, Azure Document Intelligence, and Microsoft Fabric Lakehouse.
- Organization
- Nortal
- Industry
- Tech & Comms
- Location
- United States
- Published
- July 2025
Reported outcomes
−50%
timeTime & speed
Strategic outcomes
Catalog median for time & speed deployments: −55% across 674 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 3
- 1AI-powered recruitment
- 2Intelligent search and ranking
- 3HR workflow automation
- Manual resume screening was time-consuming and inefficient given the growing candidate database and complexity of job requirements.
- Recruiters needed to accelerate candidate discovery while improving match quality and freeing up time for strategic tasks.
- Developed an AI agent based on agentic search principles to analyze job descriptions and intelligently search the candidate database.
- The AI agent uses Azure OpenAI for natural language processing, Azure AI Search for querying, and Azure Document Intelligence to process data stored in Microsoft Fabric Lakehouse.
- Collaborated with Microsoft's AI Co-Innovation Labs to design and prove the concept, iterating based on feedback from recruiters.
- Reduced overall hiring process time by 30%.
- Delivered qualified candidates 50% faster.
- Eliminated hours of manual resume screening, improving recruiter productivity and match quality.
Architecture
The architecture includes an AI agent integrating Azure OpenAI for NLP, Azure AI Search for intelligent queries, and Azure Document Intelligence to interact with structured data models in Microsoft Fabric Lakehouse for efficient candidate ranking.
Sources & evidence1
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