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Enterprise Software
Enterprise SaaS — AI-Powered DevOps Transformation
Deployed production AI systems that reduced infrastructure tickets by 70% and automated incident postmortems.
Background
500 engineers at a B2B SaaS company. 18-month initiative to "adopt AI" with no clear wins. DevOps team drowning in tickets.
The Challenge
- 1200+ infrastructure tickets per week
- 2Incident postmortems took 2 weeks to complete
- 3Tribal knowledge locked in senior engineers' heads
- 4AI initiatives were demos that never reached production
Our Approach
- Deployed AI DevOps copilot trained on internal documentation and runbooks
- Built LLM-powered incident summarization generating draft postmortems
- Implemented AI triage routing tickets to correct teams with 94% accuracy
- Created AI-assisted Terraform generation with guardrails
Technologies Used
Azure OpenAILangChainKubernetesAzure DevOpsTerraformElasticsearch
Results
Weekly infra tickets
200+60
Postmortem completion time
2 weeks2 days
Ticket routing accuracy
45%94%
Time to first AI production deployment
18 months (stalled)6 weeks
“We spent 18 months talking about AI. KubeMatrix shipped production AI in 6 weeks. That's the difference between strategy and execution.”
Director of Platform
Enterprise SaaS
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