IT Service Management AI agent collection assess quality of a change request agentic workflow
Summarize
Summary of IT Service Management AI Agent Collection Assess Quality of a Change Request Agentic Workflow
The assess quality of a change request agentic workflow allows users to evaluate and enhance the quality of change requests in ServiceNow. By analyzing the information in the fields of a change request, it generates suggestions for improvement based on similar, successfully closed requests. This workflow can be applied to both new requests and existing requests that are still open.
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Key Features
- Manual invocation: The workflow is triggered manually and does not have an automatic trigger.
- Quality assessment: It provides a report categorizing the quality of the change request fields, including descriptions, risk, and impact analysis.
- Role access: Accessible via the snuxcgenai.snaiachgquality role, part of the itil or snchangewrite roles.
- AI analysis: The change quality assessor AI agent evaluates closed change requests for quality insights and suggestions.
Key Outcomes
Upon completion of the assessment, a report is generated that includes a quality score for each field, categorized from Excellent to Incomplete. If the quality is deemed Excellent, no suggestions will be made. The work notes field is updated with the assessment report, which can also be reviewed in the aichangequalityscore table. This helps in making informed decisions to enhance change request submissions and improve overall service management efficiency.
Use the assess quality of a change request agentic workflow to assess the quality of a change request, analyze the information available in the fields, and generate suggestions to improve the information in the fields.
Assess quality of a change request agentic workflow overview
Using the assess quality of a change request agentic workflow, you can assess the quality of a change request based on the information available in the fields. You can also simultaneously generate suggestions for good quality, holistic information that can be provided in the fields to improve the quality of a change request. You can use the workflow to assess the quality of a new change request, or improve the information available for an existing change request that is not in the closed state.
To evaluate the quality of information in a change request, the workflow finds similar closed change requests with matching descriptions, and the close code marked as successful. On the basis of the matching change request, the workflow generates a quality report of the descriptions, planning, risk, and impact information. The generated quality assessment contains the assessed fields, the justification for the quality marking, and the suggestions to improve the existing information.
To modify the assess quality of a change request agentic workflow, duplicate it, and adjust the settings according to your requirements. To clone an agentic workflow that is available by default, you must execute the semantic index for similarChangeRequests. The Business Rule ([Chg Quality] Trigger semantic index) that is available by default that activates this workflow doesn’t run automatically for cloned cases, so you must activate it manually or execute the script in the business rule to confirm that the index is performed.
Assess the quality of a change request
Autonomously assess the quality of change requests, and generate suggestions to improve information in fields.
- Navigate to .
- Select Assess quality of a Change Request.
AI agent used in the assess quality of a change request agentic workflow
When provided with the details of a change request, the change quality assessor AI agent automatically analyzes the quality of the information available in a closed change request containing matching descriptions, and provides suggested values.
- Short description
- Description
- Implementation plan
- Backout plan
- Test plan
- Risk and impact analysis
- Justification
The assessment report is generated for the overall change request and all the areas mentioned. The quality assessment categorizes the information under the Excellent, Very good, Good, Fair, Poor, Very Poor, or Incomplete categories. If the quality of the change request and all of its fields are assessed to be Excellent, no suggestions are provided. The work notes field for the change request is updated with the quality assessment report generated using the agent. You can also review the report generated in the work notes field in the ai_change_quality_score table.
Assess the quality of information using the assess quality of a change request workflow
- Review the information in the Describe and connect screen and in the Define trigger screen, make the necessary updates, and then select Save and Continue.
- In the Select a UI display screen turn on the Display option to add the icon for the Now Assist panel in the menu bar.
- Select Save and test.
Example of the assess quality of a change request agentic workflow output in the ServiceNow® AI Agent Studio
Access and use assess quality of a change request agentic workflow from the Now Assist panel.
You can add a query using the change request number to use the AI agent. You can enter the number of the field from the list of suggestions, add relevant keywords, or provide custom responses to the agent to update the field values. The agent asks for a confirmation before updating the fields.
For the query instruction, follow the steps specified in the List of steps field of the Define key requirements screen of the agentic workflow record.
In the AI Agent Studio, the human agent gets notified as soon as a text message is generated so that they can follow the on-screen instructions and complete the task. For more information, see Request the generative AI capabilities in ITSM by using the Now Assist panel.