Normalized claim
Quantified impact: 40% decrease
Reduced manual HR reporting workload by 40%
Last evidence check: Jul 22, 2026
NTT DATA's Agentic AI Implementation with Microsoft Fabric
Use case typeWorkflow automationUpdated Jun 13, 2026
NTT DATA implemented custom Microsoft Fabric agents to derive insights from HR and back-office data, optimizing organizational operations.
- Organization
- NTT DATA
- Industry
- Tech & Comms
- Location
- Japan
- Published
- April 2025
Reported outcomes
Automation: −40%
Automation & deflection
Catalog median for automation & deflection deployments: −50% across 23 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- NTT DATA
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Linked source
Difficulty extracting actionable insights from siloed HR and back-office data Manual analysis led to slow decision-making in organizational operations Significant time spent on repetitive administrative tasks Limited integration of diverse enterprise data sources hindered optimization Deployed custom Microsoft Fabric agentic AI solutions for data analysis Integrated Azure AI Foundry capabilities to process and harmonize HR and operations data Automated data aggregation and insights generation ac
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Automated HR Analytics Reporting Agent
- 2Organizational Back-Office Data Insights Agent
- 3Real-Time Operations Performance Dashboarding
- Deployed custom Microsoft Fabric agentic AI solutions for data analysis
- Integrated Azure AI Foundry capabilities to process and harmonize HR and operations data
- Automated data aggregation and insights generation across multiple systems
- Enabled self-service advanced analytics for business stakeholders
Technologies
Improved accuracy and consistency in operations analytics
Sources & evidence2
Evidence: Medium60/100Evidence strength
- Customer explicitly identified
- Independent source available
- Quantified outcome available
- Multiple corroborating sources available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/2 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: News ArticlePublished: Apr 14, 2025Evidence: SecondaryConfidence: Low
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Customer evidence
Provider evidence
Browse the catalog
Was this useful?
Community
Comments
No published comments yet.