Hi everyone! 👋
I have a question about Jira Service Management (JSM), Rovo, and AI capabilities.
One of my clients has recently migrated to JSM Cloud and is exploring how AI features could help improve their service desk operations. Overall, they’re happy with Cloud, but they want to leverage AI to make life easier for their agents.
They handle a high volume of customers and daily ticket creation. JSM is used for both ITSM and non-IT service management. Agents act as first-line support and frequently forward tickets to developers and BA/PM teams.
A major challenge is incomplete or poorly structured requests. Customers often provide insufficient or irrelevant information, which leads to a lot of back-and-forth between customers, agents, and delivery teams, resulting in significant time loss and delays in request resolution.
Even though customers are provided with clear instructions on how to raise requests, as many of you have probably experienced, those instructions are often ignored.
The client is wondering whether AI could act as a “first checkpoint” before a request is submitted or reaches an agent.
Here’s a simplified example:
At the moment of ticket creation, AI would ideally be able to:
Any tips, experiences, or insights would be highly appreciated. Thanks in advance! 🙌
Welcome to the community.
Your first option would be to dive into the virtual agent for JSM.
Here user can be guided in creating a request.
Second, make sure on requests fields for specific relevant information are required.
Make sure to have a Confluence KB attached with articles to help user solver their own issue or to provide steps on how a request should be provided
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