AgentOps-Powered Autonomous Application Support

Agentic AI-Powered Autonomous Operations for Application Support

Tech Mahindra's Autonomous Operations Center (AOC) combines agentic AI, observability, operational intelligence, and automated execution to transform application support.

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Tech Mahindra's Autonomous Operations Center (AOC) combines agentic AI, observability, operational intelligence, and automated execution to transform application support.

By continuously analyzing logs, metrics, events, and traces, AOC detects anomalies, identifies root causes, and orchestrates self-healing remediation workflows. With human-in-the-loop governance and continuous learning, AOC enables faster resolution, reduced operational noise, improved service reliability, and resilient business operations.

  • Upto 70% Incident Prevention
  • Upto 60% Faster Resolution
  • Greater than 50% Operational Efficiency
  • Greater than 60% Autonomous Actions
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Key Features

Signal Intelligence

Continuously aggregate and correlate enterprise signals across applications, infrastructure, observability platforms, and ITSM systems to create a unified operational view and accelerate issue detection.

Context-Aware Decisioning

Combine operational telemetry, business impact, service dependencies, and historical knowledge to enable intelligent agents to make informed, context-driven decisions.

Autonomous Incident Management

Leverage agentic AI to automatically detect, triage, investigate, and resolve incidents while seamlessly escalating high-risk scenarios for human oversight.

Self-Healing Operations

Execute governed remediation workflows that automatically recover services, validate outcomes, and minimize manual intervention across support operations.

AgentOps Control Tower

Monitor, govern, and optimize intelligent agents through centralized visibility, policy controls, auditability, performance monitoring, and risk management.

Continuous Learning Engine

Capture insights from every incident, decision, and remediation to continuously improve agent performance, operational accuracy, and autonomous outcomes.

Solution Benefits

Proactive Operations

Identify and address potential issues before they impact users or critical business services

Autonomous Resolution

Enable intelligent agents to diagnose and resolve incidents with minimal human intervention

Operational Efficiency

Automate repetitive support activities and reduce manual effort across operations

Service Reliability

Strengthen application availability through Self-Healing and Predictive Operations

AgentOps Governance

Maintain control through human-in-the-loop approvals, auditability, and policy enforcement

Continuous Learning

Continuously improving decision accuracy and operational performance through Agent Learning

Industry Use Cases

Banking and Financial Services

Enable agentic monitoring and autonomous resolution across payment systems, digital channels, and core banking applications to improve service availability and customer experience

Telecom

Detect service degradation early, accelerate root cause analysis, and automate remediation across OSS, BSS, and enterprise application landscapes

Manufacturing

Improve production continuity by proactively identifying application anomalies, integration failures, and operational risks across connected manufacturing environments

Retail and Consumer

Support always-on digital experiences through predictive operations, intelligent incident management, and self-healing capabilities across commerce platforms

Healthcare and Life Sciences

Enhance application resilience across clinical and enterprise systems through context-aware decisioning, governed automation, and faster issue resolution

Cross-Industry Operational Scenarios

Enable autonomous operations across complex enterprise environments by combining Agentic AI, operational intelligence, and human-governed automation. Intelligent agents continuously detect issues, perform root cause analysis, orchestrate remediation, and drive continuous learning to improve operational resilience and business outcomes

Why Autonomous Operations Center

Agentic Operations

Transform application support through intelligent agents that autonomously detect, diagnose, decide, and act across complex environments

Control Tower Governance

Monitor, govern, and optimize agent performance through centralized visibility, policy enforcement, and operational guardrails

Autonomous Remediation

Execute self-healing workflows that accelerate recovery, reduce manual effort, and improve service continuity

Context-Aware Decisioning

Combine operational telemetry, business impact, and enterprise knowledge to drive smarter and faster actions

Human-in-the-Loop Control

Balance autonomy with governance through approvals, auditability, and transparent operational decision-making

Continuous Learning

Enable agents to continuously improve through feedback, operational outcomes, and evolving enterprise knowledge

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Agentic Software Engineering

TechM AppGinieZ™

New Age Delivery (NAD) Platform

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