Agentic AI-Powered Monitoring and Incident Management

Solution Overview

Data-driven enterprises face increasing complexity in monitoring pipelines and ensuring seamless data operations. Traditional manual monitoring is slow, error-prone, and reactive, leading to delayed issue detection, business disruptions, and high operational overheads. As organizations scale, legacy approaches fail to provide proactive insights, predictive detection, and automated resolution.

Infosys Automated Monitoring Framework with Agentic AI addresses these challenges by bringing intelligence, automation, and agility to data operations. Leveraging Agentic AI, the solution continuously monitors data pipelines, classifies failures, performs automated root cause analysis, and proactively alerts stakeholders hence reducing downtime, accelerating recovery, and driving operational efficiency.

Key Capabilities

• Intelligent Monitoring and Detection
  Continuously track Azure Data Factory (ADF) logs, pipeline executions, and failures; identify missing feeds; and provide real-time dashboards for data quality and operational health.
• Automated Root Cause Analysis
  Leverage AI-driven pattern recognition to classify issues (e.g., schema mismatches, missing data, drift, integrity violations) and pinpoint the root cause for faster resolution.
• Consolidated Stakeholder Communication
  Centralized notification system aggregates incident details, RCA, and resolution updates; automated structured alerts keep stakeholders informed and aligned.
• AI-Augmented Infrastructure Automation
  Detect infrastructure issues early and trigger automated resolution workflows while keeping human experts in the loop for critical interventions.

Business Benefits

• Reduce Operational Overheads
  Automate routine monitoring and RCA, freeing up engineering time.
• Accelerate Incident Resolution
  Proactively identify and resolve issues before they escalate into business disruptions.
• Enhance Data Reliability
  Improve data trustworthiness through accurate detection and remediation of pipeline issues.
• Enable Scalability
  Support growing data volumes and complex pipelines with intelligent, AI-driven oversight.