Organizations often grapple with lengthy resolution times, frequent operational snags, and a shortage of ready-to-deploy automation for crucial tasks. These hurdles breed inefficiencies, inflate costs, and heighten risks. Pinpointing and addressing the most promising automation opportunities is vital for boosting operational efficiencies in service and operations management. By prioritizing automation in the Incident management process, organizations can achieve remarkable gains in efficiency and usher in a proactive, data-driven problem management experience.
AIOps LEAP (Learning-Enhanced Automation Playbook) harnesses the power of AI to delve into historical incident data, smartly prioritize tasks, craft actionable resolution playbooks, and drive a proactive problem management process. AIOps LEAP not only slashes mean time to resolution (MTTR) but also expands automation coverage, seamlessly operationalizes SOPs with L1/L2 teams, and paves the way for significant cost savings and operational brilliance.
AI to Discovery Automation Opportunities and established centralized governance
Imagine a world where AI-powered data mining acts as a detective, using advanced techniques like machine learning to sift through vast datasets such as ServiceNow Incident records. This AI detective uncovers hidden patterns, relationships, and trends, revealing the secret opportunities for automation. By prioritizing these automation efforts, we can unlock substantial improvements in efficiency and cost savings, transforming the way we manage operations. Effective automation opportunity selection begins with a prioritization framework. AI-driven framework from LEAP can serve as a guide for evaluating automation opportunities based on their alignment with business objectives and their potential value.
AI to generate Resolution steps for Automation and proactive problem management
The Resolution mining AI Agent from LEAP is like a detective with advanced data mining techniques, diving deep into the past 6-month incident resolution notes and analyzing related knowledge base articles attached to those Incident clusters. The AI Automation Architect can then refine these AI-generated notes and introduce innovative automation steps, empowering AI agents to generate LEAP Playbooks or craft proactive problem management records.
Measuring ROI from GenAI curated automations
Capturing the ROI metric on the automation initiatives is a daunting task. AIOps LEAP offers a system that spans both quantitative and qualitative measures of recording the ROI metric with a data-driven approach. The AI Automation architect can collect the real-time feedback signals from L1/L2 teams to measure the efficacy of the curated SOPs / Runbooks. Secondly, LEAP offers programmatic ways to capture the cost savings associated with automations over time. This data-driven approach to publishing automation and SOPs to L1/L2 teams accelerates incident handling, propelling IT Helpdesk teams towards autonomous Service Operations excellence.
Unleash the power of automation with AIOps LEAP. Visit store.servicenow.com and embark on an extraordinary journey to transform your operations with NOW Assist for ITOM. Learn more about AIOps LEAP.
