inMorphis AIOps (Artificial Intelligence for IT Operations)

inMorphis AIOps is an advanced analytics and automation solution that leverages the capabilities of artificial intelligence and machine learning to enhance IT operations. By combining and analyzing vast amounts of operational data from disparate sources, AIOps helps your business to achieve outcomes like superior customer experience and higher revenue growth.

inMorphis AIOps (Artificial Intelligence for IT Operations)

In-Depth Capability and Proficiency

Greater than 90% reduction in outages
effectively minimizes downtime and enhances system stability, ultimately leading to increased operational efficiency and customer satisfaction.

75% self healing in infrastructure & applications
autonomously detects and resolves issues, significantly reducing the need for manual intervention and minimizing downtime. As a result, system reliability and overall operational efficiency experienced a substantial boost.

50% improvement in business KPIs such as end-to-end order TAT’s
streamlines processes, optimizes workflows, and reduces bottlenecks, resulting in faster order processing and improved overall operational efficiency. This achievement positively impacts customer satisfaction, revenue generation, and business growth.

inMorphis AIOps Unique Value Proposition

Tool Agnostic: inMorphis AIOps seamlessly integrates with existing tools, providing a unified view and eliminating the need for costly tool replacements.

Industry Expertise: With deep industry knowledge, inMorphis AIOps offers tailored solutions that address specific challenges, enhancing operational efficiency and compliance.

Outcome Focus: inMorphis AIOps delivers outcome focus solutions by providing actionable insights that drive measurable outcomes aligned with organizational goals and KPIs.

How it Benefits Your Business

Intelligent Event Management: AIOps intelligently correlates and contextualizes events from various sources, such as monitoring tools, logs, and metrics. Automatically identifying patterns and anomalies helps IT teams prioritize and respond to critical issues swiftly, reducing downtime and improving service availability.

Predictive Analytics: With AIOps, organizations can harness the power of predictive analytics to anticipate and mitigate potential issues before they impact end-users. By analyzing historical data and patterns, AIOps can forecast future incidents, enabling proactive problem resolution and preventing service disruptions.

Automated Remediation: AIOps enables automated incident response and remediation, reducing manual effort and speeding up the resolution process. It can execute predefined workflows or trigger intelligent automation bots to perform routine tasks, freeing up IT teams to focus on more strategic initiatives.

Root Cause Analysis: AIOps helps identify the root causes of recurring issues by analyzing complex dependencies and relationships within the IT infrastructure. This empowers IT teams to address underlying problems, minimizing the impact on end-users and improving overall system reliability.

Real-time Insights and Dashboards: AIOps provides comprehensive visibility into IT operations through intuitive dashboards and real-time analytics. IT teams can gain actionable insights, monitor key performance indicators, and track service-level agreements, enabling data-driven decision-making and continuous service improvement.

Seamless Integration: inMorphis AIOps seamlessly integrates with existing IT tools and systems, such as service management, event management, and monitoring platforms. This allows organizations to leverage their current investments and extend their capabilities with AI-powered automation and analytics.