Sagy turns inbound issues into structured investigations. The agent gathers context from your tools, runs the right workflow, surfaces evidence, and preserves what worked as reusable engineering memory.
A customer issue, internal incident, or production regression usually starts with scattered context. Sagy pulls the relevant history together before the first debugging tab is opened.
The agent does more than search. It extracts symptoms, affected systems, user impact, timestamps, service names, and identifiers, then chooses the workflow your engineers already use for that class of issue.
Sagy keeps the engineer in control. Every summary points back to the source material so the team can validate evidence before running a command, assigning a fix, or updating a customer.
The same investigation layer helps with customer bug escalations, production incidents, regressions, recurring outages, firmware failures, and wireless connectivity issues.
After resolution, Sagy captures what mattered: symptoms, commands, links, hypotheses, approvals, and the validated fix. The next similar incident starts with that memory.
