MPHASIS AIOPS
IT Operational Excellence Powered by AI and Automation
Mphasis AIOps 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.
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.