Aiops Leap Learning Enhanced Automation Playbooks

Activate the LEAP skill after installing the application to assemble and categorize incidents.

AI indicators mark the artifacts that the LEAP AI agent creates. They appear on the home page list and on the automation opportunity details page.

LEAP includes features such as grouping incidents, creating problem records, and generating playbooks.

Field values that you configure when installing LEAP using the LEAP Installer.

External AI clients can query LEAP automation data using Model Context Protocol (MCP) tools exposed through the ITOM MCP Server.

LEAP uses built-in prioritization logic to identify the highest-impact automation opportunities. This logic helps you focus on the most valuable automation tasks. The calculations provide an estimate of potential cost and time savings. It's best to validate these values in a non-production environment before implementing them in production.

LEAP settings page field values help estimate cost and time savings when automation is used. These settings support cost predictability.

LEAP application uses AI-driven insights and automation to help manage IT operations.

The Ansible automation integration connects LEAP with Ansible Automation Platform to enable AI-driven discovery of relevant job templates and automated incident remediation from the Service Operations Workspace.

The Ansible discovery agent analyzes automation opportunities and identifies relevant Ansible job templates using AI-powered semantic matching and historical execution patterns.

LEAP groups similar incidents into automation opportunities and uses AI to generate resolution artifacts that help reduce manual effort and repeat incidents.

The automation opportunity details page displays resolution steps, activity, and action insights for a selected automation opportunity (AO). The page also indicates whether an AO is active or archived.

Large automation opportunities in LEAP can be broken into smaller, more manageable sub-groups to achieve more granular and accurate incident resolution.

Use Automation projects to analyze multiple sets of incident data independently, so different teams or business units can derive separate insights and automation opportunities.

LEAP allows you to change the default LLM provider from the Now LLM to your required LLM.

Several types of components are installed with activation of the plugin, including tables, user roles, and scheduled jobs.

Connect LEAP to Ansible Automation Platform so the Ansible Discovery and Execution Agents can automatically identify job templates and launch them during incident remediation.

To use a knowledge base with LEAP, the Can Contribute field must be set to allow users with the knowledge role to submit content. If this is not configured correctly, LEAP cannot route articles to the intended knowledge base.

You can download and install LEAP application from the ServiceNow Store to manage your IT operations efficiently.

Create an Automation project to run LEAP analysis on a specific set of incident data.

Create problem records for LEAP from available incident clusters, also known as automation opportunities, for further analysis.

Large automation opportunities in LEAP are broken into smaller, more manageable sub-groups to support focused and contextual incident resolution steps.

Edit an Automation Project configuration when the analysis job is in ready status.

The Ansible Execution Agent launches Ansible playbooks mapped to LEAP resolution steps in Service Operations Workspace that can reduce manual effort and time to resolve incidents.

AI-powered features in LEAP help administrators generate resolution steps, create problem records, publish knowledge base articles, build playbooks, and discover and execute Ansible automations.

LEAP categorizes similar incidents into groups and uses AI to generate resolution steps, problem records, AI-enhanced knowledge base articles, and playbooks.

Generate AI-enhanced knowledge base articles from automation opportunity resolution steps to share structured, publication-ready knowledge across your organization.

Create standard, dynamic, and automated playbooks using LEAP to promote fast incident resolution and response time.

Learn how to generate, edit, and track AI-generated resolution steps for automation opportunities in LEAP.

You can install the LEAP application using ServiceNow Otto for IT Operations Management (ITOM) (sn_itom_gen_ai) if you have the admin role. If the application does NOT include demo data or it does NOT install related applications and plugins, delete or revise the following sentence:The application installs related ServiceNow Store applications and plug-ins if they aren’t already installed.

Enhance IT operations with AI-driven, autonomous artifact creation such as problem records, knowledge base articles, and playbooks using LEAP AI agent.

Create and manage Automation projects to run LEAP across multiple incident taxonomies independently.

Create mappings between automation opportunity resolution steps and Ansible job templates to enable automated incident remediation.

Track instances where users could have benefited from generated resolution steps, knowledge base articles, or playbooks but didn't have access to them.

These topics provide detailed field description information required during LEAP installation.

Use the Ansible playbooks tab on the LEAP value dashboard to review Ansible execution counts, agent-hours saved, and top automation opportunities resolved by Ansible.

Use the KB articles tab on the LEAP value dashboard to review the volume of knowledge base articles that LEAP created. Identify which automation opportunities are generating the most knowledge content.

Use the Problems tab on the LEAP value dashboard to review the volume of problem records that LEAP created and identify which automation opportunities are driving root cause investigation.

Use the ServiceNow playbooks tab on the LEAP value dashboard to review execution trends, playbook status, and top-performing playbooks.

Configure LEAP properties to estimate cost and time savings calculations for your organization.

Start the analysis job for an Automation project to begin generating automation opportunities and insights.

Switch between Automation Projects to view metrics, reports, and automation opportunities scoped to a specific project.

Use the LEAP value dashboard to monitor automation outcomes across ServiceNow playbooks, Ansible playbooks, KB articles, and problem records.

LEAP tracks two types of savings metrics, projected and actual, across all automation outcome types including ServiceNow playbooks, Ansible playbooks, KB articles, and problem records.

Use LEAP to analyze automation opportunities (AOs), generate resolution steps and playbooks, create problem records, build knowledge base articles, and execute Ansible automations during incident remediation.

Use LEAP playbooks in the SOW.

Use LEAP to view AI-generated resolution step recommendations that match the incident description in SOW to resolve incidents more efficiently.