Incident response and analysis company Jeli.io announced that it has integrated ChatGPT into its platform.
By utilizing large language models like ChatGPT, Jeli.io will help teams handle incidents and gain insights from them. The company has now extended its AI beta access to enterprise customers, positioning itself as a pioneer in using language models for incident management and learning.
“The secret to understanding your incidents is hidden in how you make decisions during them – often that data is overlooked because there is so much of it to sift through,” said Nora Jones, CEO and founder of Jeli.io. “Building ChatGPT into many of our products is a means to help organizations key into where, when, and how certain decisions are being made so ultimately they can improve. ChatGPT and other models today are great at summarizing data and extracting key points out of it – our use of it in Jeli incentivizes incident responders to dig deeper into areas that will yield high return for the organization.”
As part of the new AI-driven features, Jeli’s incident response bot works within Slack and automatically spins up dedicated Slack channels for managing incidents and coordinating with key stakeholders.
Also, the Narrative Builder feature employs AI to create a coherent account of event sequences, focusing on Detection, Diagnosis, and Repair stages of incidents. This tool also highlights important moments and taps into the expertise of key stakeholders involved in the incident across the organization. This allows team members to collaborate with Jeli’s automation, enhancing incident timelines with tags, categories, and edits.
The platform reveals the expenses linked with incident coordination, fosters knowledge among team members, and provides suggestions to tackle issues before they escalate. Jeli integrates different systems used in incident response, like Slack, Zoom, and Jira, to offer comprehensive insights across various incidents. This facilitates in-depth and efficient analysis of setbacks and the subsequent learning process.
