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Autonomous ITSM · Problem Management
Problem Management, mined from your incidents.
Agents cluster incidents, propose root causes, and drive fixes to closure.
6×
Faster RCA
72%
Recurring incidents eliminated
48h
From cluster to fix proposal
100%
RCAs written by agents
Legacy way
- Problem records opened only after outages.
- RCAs written by whoever has time (nobody).
- Pattern detection = memory of your senior SRE.
- Known errors buried in Confluence.
Authexa way
- Continuously cluster incidents by signature and CI.
- Propose problem records with evidence and confidence.
- Draft RCA with timeline, systems, and remediations.
- Track fix through change and verify recurrence rate.
How the agent handles it
Autonomous loop, end to end.
01
Cluster
Group incidents by signature, service, symptom
02
Hypothesize
Rank probable root causes with citations
03
Fix
Open change or code PR referencing the problem
04
Verify
Watch recurrence for 30 days · auto-close
Capabilities
Everything the practice needs — pattern to fix.
- Incident clustering & fingerprinting
- Root-cause hypothesis generation
- RCA doc auto-drafting
- Known-error database with search
- Fix-to-change traceability
- Recurrence tracking & auto-close
- Executive summary reports
- Continual-improvement backlog
Integrations used
DatadogSplunkPagerDutyGitHubJiraServiceNowConfluenceSlack
Related modules
See it running on your data.
A 30-minute walkthrough on Problem Management, mined from your incidents. with your CMDB and top 10 workflows.
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