Take in a support request
Start with the fields the service desk already collects, such as title, description, and priority.
Use an AI workflow to organize incoming requests and prepare a suggested next step. A support lead reviews any connected action before it is taken.
This describes a proposed pilot, not a customer deployment or a measured result.
Keep the first version narrow enough to test with real users.
Start with the fields the service desk already collects, such as title, description, and priority.
Prepare a concise summary, a suggested category, and a possible next step for the support team.
Show the proposed action to an authorized person. Record the decision and hand off cases that need judgment.
Record a baseline from the current workflow, then compare the pilot using the same kind of requests.
Use sample or approved test data at first. Define what the workflow may read, what it may propose, which actions require approval, and when it must stop for a person.
Do not use sensitive customer data until the data path, model provider, permissions, and deployment have been reviewed.
A feature in the product does not prove that a particular service connection or customer deployment is ready.
Confirm the service desk and messaging systems, account permissions, model endpoint, network access, and behavior with the client’s own test environment.
Confirm authentication, secrets handling, backups, restore steps, and the single-worker deployment requirement before any production use.
The repository includes a local Bug Triage example and a separate human-approval demo. Its documented demo uses a sample echo model; live Jira/Slack behavior requires credentials and testing. This page makes no claim that those live integrations have been verified.
Share the current process, systems, and what you would measure. We’ll discuss whether a small pilot fits.