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🚨 New Blog Alert 🚨 Discover how automated root-cause analysis can help your team reduce Mean Time to Resolution (MTTR). In our latest blog post, we explore how Accrete AI's Nebula ITSM leverages AI to pinpoint incident root causes in real time, cutting costly downtime and speeding up incident resolution. Learn how organizations are transforming their IT operations with this powerful tool. Check it out here ⬇ How Automated Root-Cause Analysis Can Help Reduce MTTR https://lnkd.in/emH2QJBH

How Automated Root Cause Analysis Reduces MTTR on Incidents

How Automated Root Cause Analysis Reduces MTTR on Incidents

accrete.ai

Shobit Kohli

CTO at EZMS & ONV8 UAE | IIM Calcutta Alumnus | Building a Top-tier Engineering Team Crafting Generative AI-Powered No-Code Solution on Blockchain

2mo

Interesting, for a large enterprise software which is running in production at scale there could be many minor to major incidents on day to day basis. The RCA is recorded as well, but then the RCA documents are never referred again. It would be interesting to see how an AI powered incident management application can monitor logs and before it is reported by customer, it is reported by an App along with a similar incident in the past along with the possible resolution. Not only that, common occuring incidents are reported and prioritised for permanent fix. On top of that if it can be integrated with confluence, which is a commonly used knowledge base for tech organisations, will definitely be valuable. An integration with jira or clickup to raise tickets for common incident resolution as tech debts will also help.

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