Ask in plain language why a workflow went wrong
Also listed as: Conversational process debugging
What is it?
Your team will be able to ask an AI assistant, in plain language, why a workflow behaved as it did, and get an explanation drawn from its execution history.
Why does it matter?
Tracking down why a case took the wrong path or stopped means reading technical logs, which takes time and specialist skill.
Faster diagnosis of workflow problems and less dependence on a few experts.
Getting it into your solution
- Needs an upgrade to the Xelence release
- Needs configuration
Where people stay in control
The assistant explains and suggests. People decide on and make any fix.
Start thinking about
- Which workflow problems take your team longest to diagnose today?
- Who should be able to ask the assistant about live case data?
- What rules apply in your organization to using AI tools with case data?
Terms used on this card
- AI assistant
- A feature that suggests or drafts something, such as a form, report, rule or letter, for a person to review and accept.
- Business process management (BPM)
- Designing, automating and tracking the steps of a business process, such as who approves what, and in what order.
- Tracing
- Recording each step a request takes through the system, so support teams can see exactly where something slowed down or failed.
Items shown as planned are subject to change based on customer priorities for specific features and enhancements.