AutoKB: AI generated knowledge articles from solved cases
Automated Knowledge Article Generation
Converts resolved support cases into high-quality, structured knowledge base articles with no effort. Ensures consistency in tone, format, and accuracy across all articles.
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Gap Analysis in Knowledge Base
Automatically detects missing or outdated articles by analyzing support case trends. Prioritizes article creation for high-impact issues based on case frequency and urgency.
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Leverages natural language processing (NLP) to create clear, concise, and actionable articles. Automatically includes step-by-step instructions, FAQs, and troubleshooting tips.
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Seamless Integration with Existing Systems
Integrates with popular CRMs, ticketing systems (e.g., Zendesk, Salesforce, etc.), and knowledge base platforms. Syncs new articles directly into your KB without manual intervention.
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IrisAgent is critical to our strategy of AI-powered customer support. IrisAgent has successfully deployed intelligent ticket routing, AI answers, and customer self-serve improve our support KPIs and efficiency.
IrisAgent has hit the bull's eye by infusing the power of AI in the customer support function to take it to a whole new spectrum at scale. Automatic tagging of tickets, sentiment analysis, IrisGPT, etc., are some of its propriety tools that can unlock the new potential of the support functions and add value to the customers and parallelly improving its operational efficiencies by heaps and bounds.
Our support agents have been happy with IrisAgent’s impact on their daily work. They’ve been especially impressed with the platform’s ability to automate tagging —an area our support team was especially eager to improve—and I value the added insight into our customer’s overall health IrisAgent provides in assisting agents.
IrisAgent helped us get started on the AI journey by automating many mundane tasks of our support team and improving their productivity. We automated tagging for multiple fields right off the gate, then proceeded to automate ticket routing and AI-powered Agent Assist. Using IrisAgent’s integrations, we also got visibility into our escalations and customer health signals proactively and improved agent productivity.
We struggled in the past with tagging. Some of the issues we faced were based on human error - several agents were tagging the same conversation and would not always use the same tag. This then in turn, leads to the tag bloat. For us tagging is important for product insight, but also for identifying the topics we spent most time on and trying to either apply some proactive support/deflection measure for these topics. In the end, we started using IrisAgent to automatically tag our conversations. We’ve found this really beneficial and our product team loves it too. @supportdriven slack channel 
support operations
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