Normalized claim
Time: 30% decrease
Reduced overall hiring process time by 30%.
MicrosoftEvidence: Low35/100
Nortal Enhances Hiring with AI Agent Using Microsoft Azure OpenAI and AI Search
Use case typeCompliance automationUpdated Jun 13, 2026
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
Time: −30%
Time & speed
Time: +50%
Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 50% increase
Delivered qualified candidates 50% faster.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Nortal
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- Nortal Insights
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1AI-powered recruitment
- 2Intelligent search and ranking
- 3HR workflow automation
- 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
Evidence: Low35/100Evidence strength
- Customer explicitly identified
- Quantified outcome available
- Technical implementation details available
Published: Jul 16, 2025Publisher: Nortal Insights
AI-generated summary. Verify important details with the linked sources before relying on this case.
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