0
1.1.1
Australia Patch 3, Zurich Patch 10
Generative AI
The L1 IT Service Desk AI specialist will autonomously resolve high-volume, routine issues by triaging the incident, identifying the issue, researching the resolution, and resolving it end-to-end. It runs inside ServiceNow workflows you already operate, follows the policies and guardrails you set, and reassigns the moment something falls outside what it's cleared to handle.
Getting Started:
- Implement with a ServiceNow expert. Please reach out to your account representative to plan your implementation with a ServiceNow professional implementation expert. This will ensure proper configuration of triage, knowledge sources, confidence thresholds, and governance to make autonomous resolution safe and effective in your environment.
- Identify the right candidates first. Before deployment, use the L1 IT Service Desk AI Specialist Onboarding Tool to determine which clusters are primed for autonomous resolution. It assesses your environment and pinpoints where the AI Specialist will perform well based on your KB and catalog coverage, so you start with high-confidence use cases and expand from there.
- End-to-end resolution. A coordinated team of specialized AI agents works together to understand the problem, find the fix, and propose the resolution to the caller. Each agent has a defined role, so the incident moves all the way to resolution without a person having to drive it.
- Investigates like your best agents. It draws on knowledge base articles, past incidents, known errors, and catalog items to reach a resolution, and asks the requester follow-up questions when it needs more to go on.
- Request fulfillment. Some incidents come in as requests. In those cases, the system proposes or submits the appropriate request item, such as a software access request. When a person must confirm details first, it provides the exact link required instead of a dead end.
- Confidence-gated action. Before it acts, the system evaluates and scores its own proposed answer. When confidence is high, it proceeds; when it is not, it continues researching or escalates. A weak or partial-match answer never reaches the caller. Instead, the incident is reassigned to a service desk agent.
- Seamless reassignment to a service desk agent. When confidence falls below the defined threshold, the system reassigns the incident to the designated assignment group or person, with the full history of what it already attempted attached.
- Two execution modes. Run each specialist in autopilot, where it posts resolutions directly, or in copilot, where a person approves the resolution first. Switch between them per specialist at any time, so you can validate behavior before granting full autonomy.
- Monitor the AI Specialists' performance. Track its auto-resolution rate, how many incidents it manages through the full lifecycle, which knowledge base articles it uses to resolve them, and more.
- Complete traceability. Every search and step the system performs is recorded. If a resolution falls short, your team can review exactly what happened and why, and address the root cause rather than work from assumptions.
- Choose your controls. Decide how the AI Specialist handles an incident at every stage. Configure how it classifies and routes each incident, which knowledge sources it draws on, how deeply it researches, and when it steps back for a person to confirm. Sensitive or high-risk work can be held for review while routine work runs on its own
- Governed by default. The AI specialist and its team of AI agents is automatically registered and kept current in ServiceNow's AI Control Tower, alongside the rest of your governed systems.
What's new
- AI quality assessment and coaching. Our Judge LLM now evaluates the quality of L1 IT AIS-handled incidents and automatically creates a coaching assessment when an incident is resolved. You can then monitor quality metrics in the AI Quality Assessment dashboard, included in the AI specialists' performance section.
- More issues resolved autonomously via DEX. The L1 IT AI Specialist can now detect and offer three new self-service fixes: reset network adapter, restart Microsoft Outlook, and clear browser cache.
- Richer performance reporting for DEX enabled actions. A new Actionable Resolutions tab (available when enabled in the AI specialists' performance section) shows remedial-action performance, trigger frequency, consent responses, and which actions resolve the most issues.
- Control over which incidents the AI Specialist handles. You can define routing criteria that determines which incidents the L1 AI Specialist resolves.
Fixes and improvements
- Cited knowledge articles now appear correctly in the Articles Cited in Resolution field, which previously showed None even when articles were used.
- The AI Specialist runs its diagnostic review loop and triggers a remedial action when an incident matches one.
- Knowledge and catalog lookups are now served by a single consolidated retrieval capability.
- Performance dashboard: clearing the assignment group filter no longer clears the AI Specialist filter and diagnostic metrics show readable labels instead of raw scores.
- The AI Specialist can now continue a conversation for up to 10 replies (previously the default was 2) before handing a ticket to the defined fallback person or assignment group.
- The AI Specialist execution side panel on the incident record now appears in Service Operations Workspace and UI16 out of the box.
IT Service Management Prime
Otto for IT Service Management
Australia Patch 3+ or Zurich Patch 10+
Other Requirements:This version does not support GCC environments
This version does not support Domain Separation