IT organizations need to reduce resolution times, resolve recurring operational bottlenecks, and automate critical tasks. But too often, they must spend their time fighting individual fires. Using automation to address these challenges proactively, at their root, could eliminate inefficiency, lower costs, and dramatically reduce risk. But where can they find the time and expertise?
AIOps LEAP (Learning-Enhanced Automation Playbooks) brings AI to the rescue - leveraging AI-driven insights to mine historical incident data, dynamically prioritize tasks, and generate actionable resolution playbooks. AI suggests how shared knowledge can be applied to recurring issues by automating specific workflows. AIOps LEAP empowers teams at all levels to address systemic issues proactively and efficiently.
AIOps LEAP offers data driven approach to identify the automation opportunities and measure outcomes. The Agentic AI Framework allows automation architect to prioritize the AI generated automation opportunities and enrich resolution steps to enrich playbook experience. AIOps LEAP reduces mean time to resolution (MTTR), increases automation coverage, streamlines processes like certificate renewals, and improves team productivity. This ultimately leads to measurable cost savings and operational excellence.
IMPORTANT:
- Playbook creation from the resolution steps requires Yokohama release (family) and Playbook (Creator workflows) entitlement
- ML-Driven Issue grouping: Machine learning based automatic grouping of similar incidents, for aggregate analysis
- Issue Group Prioritization: Aligns incident handling with priorities and major incident settings to focus on high-impact tasks
- AI-Driven Resolution Mining: Extracts and standardizes resolution steps from past incidents for quick issue remediation
- Comprehensive Playbooks*: Creates and updates detailed playbooks with AI, reducing manual effort and improving resolution accuracy
- Customizable Workflows: Offers flexible automation for IT and non-IT spaces to meet diverse organizational needs
- Workflow recommendations*: generated playbooks are shown as recommended actions to incidents in SOW
- Value Dashboards: Provides actionable insights into cost savings, MTTR reduction, and automation effectiveness
* Playbook creation from the resolution steps and display in SOW requires creator workflows license entitlements.
New
Track and manage automation efforts
- Track automation progress and receive feedback on execution outcomes
- Pin high-value automation opportunities for prioritized attention
Customize your workspace views
- Filter automation opportunities and published playbooks to match your criteria
- Choose which columns to display on the automation opportunities and published playbooks pages
Accelerate incident resolution
- Access published LEAP playbooks directly from the Service Operations Workspace
Measure and improve automation impact
- Use the Value Dashboard to conduct performance analysis and identify enhancement opportunities
Required dependencies
- Now Assist for Platform (sn_genai_platform:8.0.0)