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AI-powered incident prediction transforms change management

70,000+
Hours Saved

Enhanced
Work-Life Quality

Improved Safety
& Compliance

About the Company

NTT Data is a global digital business and IT services leader, supporting enterprises across industries with scalable technology solutions. Their complex change management operations span massive datasets, with thousands of change logs processed daily. Ensuring operational stability, minimizing risk, and proactively addressing incidents are critical to NTT Data’s mission of delivering uninterrupted service to its enterprise clients.

To keep pace with growth and rising customer expectations, NTT Data sought an intelligent solution that could predict incident risks and offer actionable, AI-driven recommendations - all while enhancing team efficiency and decision-making accuracy.
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The Problem Statement

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High-volume change logs

Thousands of daily change entries overwhelmed manual review, causing bottlenecks and potential oversights.

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Unpredictable incident risk

Without AI-driven analysis, engineers struggled to proactively predict which change logs might trigger incidents.

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Manual remediation guidance

Even when risks were flagged, surfacing the right resolution guidelines from historical data was time-consuming and inconsistent.

How LYZR Solved It ?

With Lyzr, NTT Data deployed a robust, AI-powered incident management solution - combining machine learning, vector similarity search, and advanced generative models for real-time risk prediction and resolution guidance.

✓ Custom AI Workflow
  • Change management engineers submit logs via a ReactJS UI.
  • A machine learning model analyzes logs, generating a confidence score on incident risk..
✓ Vector Search for Context
  • Qdrant powers similarity search across historical incidents, surfacing relevant past cases and resolutions.
✓ AI-Generated Recommendations
  • A self-deployed GPT-4o-mini model transforms predictions and historical data into actionable incident descriptions and remedial steps.
✓ Enterprise-Grade Security
  • Okta SAML integration ensures secure, role-based access.
  • Data stored and processed securely via Microsoft Azure Cosmos DB.
✓ Full-Stack Infrastructure
  • Backend ML services, AI model hosting, and frontend UI deployed on Microsoft Azure for seamless, scalable performance.
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Try Agent

The Outcome

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Faster Incident Risk Detection

AI models proactively assess change logs, cutting down manual risk assessments.

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Proactive Remedial Recommendations

Engineers receive AI-generated next steps, improving response times and minimizing incident fallout.

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Reduced Manual Workload

Automation frees teams to focus on complex, value-added tasks instead of repetitive log reviews.

Behind the Scenes: How Lyzr Builds Enterprise AI on Azure

Azure Workflow

How Lyzr handled security?

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Data Residency

All change management data remains securely within NTT Data’s Azure cloud, ensuring 100% ownership and compliance with regional data laws.

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Compliance

The Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, supporting enterprise-grade data handling and privacy.

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Reflection Module

Lyzr’s reflection system minimizes model hallucination, ensuring high-accuracy, reliable recommendations in critical workflows.

Architecture Highlights

Component
Description
Data Sources
Historical change logs, incident records, resolution docs
ML Prediction
Random classifier (prototype) for incident risk
Vector Store
Qdrant for similarity search
AI Model
GPT-4o-mini for generating recommendations
Frontend
ReactJS-based interface
Cloud
Microsoft Azure for compute, storage, and deployment
Security
Okta SAML for access control

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