Mphasis AIOps platform drives the next in operational efficiency with Agentic IT Operations to help enterprises keep pace in a world disrupted by AI. The framework integrates AI/ML, automation, observability, and service reliability engineering (SRE) to put IT operations on a path from reactive to pre-emptive. The target is to identify earlier, resolve quicker and more consistently, improve operational and quality metrics, and in doing so align IT with business goals.
IT operational excellence powered by AI and automation
Incident Lifecycle Automation
• Discover → Detect → Deliver: Automates the full incident and problem management lifecycle using logs, metrics, traces, and events.
• Event Correlation & RCA: AI/ML-enabled event correlation and automated root cause analysis (RCA) reduces manual effort and accelerates resolution.
Self-Healing & Proactive Resolution
• Self-Heal Engines: Uses anomaly detection and proactive remediation to eliminate issues before they occur
• DEX (Digital Employee Experience): Empowers end users to leverage self-service tools to resolve recurring issues independently
AI-Enabled Service Desk
• Conversational Bots: Integrated with Customer Omni-Channel platforms (chat, voice, and email) for real-time support leveraging GenAI.
• Copilot & GenAI Foundry: Supports intelligent routing, auto-assignment, and contextual knowledge delivery
Data-Driven Operations
• Enhance Knowledge: Standardize KEDB entries, plug gaps in knowledge base via GenAI, and develop an actionable Knowledge Graph
• Data Integration & Quality: Aggregates data from logs, metrics, traces, and alerting to integrated AIOps platforms such as Aisera and ServiceNow.
• Predictive Analytics: Detects anomalies and forecasts issues using AI/ML models
Platform Engineering & DevSecOps
• Automation & Security:Integrates with DevSecOps and Data pipelines, Data and Control planes, and Service Management platforms for secure, scalable operations.
Reduced MTTR: Faster incident resolution through automation and AI-driven diagnostics.
Improved Uptime: Proactive issue detection and self-healing mechanisms enhance reliability.
Cost Savings: Up to 40% reduction in operational effort and 30% savings in infrastructure management.
Enhanced Productivity: Frees up IT teams from firefighting, enabling focus on strategic initiatives
Business Alignment: Aligns IT operations with business outcomes through continuous improvement and governance.
Mphasis AIOps is an Agentic AI–driven IT operations framework that integrates AI/ML, automation, observability, and SRE to shift IT operations from reactive to proactive.
It enables predictive incident detection, root-cause analysis, self-healing automation, and faster resolution, aligning IT performance with business outcomes.
Mphasis AIOps platform improves IT operations management by applying AI and machine learning to correlate events, detect anomalies, and predict incidents.
It automates root-cause analysis and remediation, reduces alert noise, shortens resolution times, and shifts IT operations from reactive firefighting to proactive, resilient, and business-aligned management.
Mphasis AIOps enables proactive and self-healing IT operations by integrating AI/ML, deep observability, automation, and SRE practices.
It predicts incidents using anomaly detection and predictive analytics, correlates events for rapid root-cause analysis, and triggers automated, agent-driven remediation. This shifts IT operations from reactive issue handling to pre-emptive resolution, improving system stability, reducing downtime, and aligning IT performance with business outcomes.
Yes. Mphasis AIOps is designed to integrate seamlessly with existing ITSM and monitoring tools through open APIs, standard interfaces, and prebuilt connectors.
It works with enterprise platforms for ITSM, ITOM, observability, cloud, and DevOps, enabling event correlation, automated ticketing, root-cause analysis, and remediation without disrupting current tool investments.
