The Autofix-AI workflow
From support ticket to shared knowledge
Autofix-AI helps support teams turn incident context and verified fixes into a repeatable learning loop. Here's how a ticket moves through that process.
STEP 01
Capture the incident
A user submits a support ticket with a description and, when useful, a screenshot of the error. The ticket gives the support workflow its starting context.
STEP 02
Understand the error
When a screenshot is provided, vision-assisted analysis extracts relevant error details. The description and extracted details are combined into a normalized incident signature.
STEP 03
Look for a proven resolution
Autofix-AI searches its incident memory for similar cases and their recorded outcomes. A relevant past fix can inform the recommendation for the current ticket.
STEP 04
Resolve with the right level of review
High-confidence matches can follow the configured automated path. If confidence is below the decision threshold, the ticket stays in the human review queue instead.
STEP 05
Learn from verified outcomes
Once an engineer verifies a resolution, the outcome is recorded in persistent memory. That verified experience can help the team handle similar incidents in the future.