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An AI troubleshooting workbench for internal systems: it integrates ticketing and alerting systems via HTTP APIs and webhooks, connects code, logs, configurations, and agents, and provides a web-based self-service analysis interface for product, operations, and customer support teams.
Helper n8n community node for Jev by TypeSafe. Classify, route, and score text with questions you define, and get a probability for every answer so unsure items can go to review.
AI-powered support ticket triage system with autonomous agents. Uses Google Gemini for intelligent issue analysis, skill-based moderator assignment, and automated email notifications. Built with Express, React, MongoDB, and Inngest.
Triagem inteligente de atendimentos com IA: recebe mensagens de marketplaces, classifica em segundo plano e prioriza em um dashboard Blazor. .NET 10, Transactional Outbox, MySQL e modo demo sem dependências externas.
AI-powered IT helpdesk that auto-triages support tickets using Gemini 2.0 Flash — priority classification, load-balanced routing, and SLA breach escalation in under 3 seconds.
Forethought — independent third-party profile of a public API surface, by API Evangelist. Forethought is a San Francisco-based generative AI customer-support platform. Its multi-agent product suite — Solve (omnichannel resolution), Triage (ticket classification and routing), Discover (knowledge-gap detection and article generation), Assist (agentic
Classify support tickets by category and severity using Claude, surface recurring themes, and generate a prioritized Fix Now / Next Sprint / Backlog PM report
AI-powered Customer Support Ticket Triage system that automatically classifies, prioritizes, analyzes, and routes support tickets using Machine Learning and NLP.
Eco-Fi AI is an intelligent ticket triage dashboard that uses NLP, ML, and data visualizations to automate ticket classification, detect dead tickets, and prioritize issues based on business impact.
AI ticket triage classifier with an eval harness — severity/routing taxonomy for multifamily IoT support, scored against a labeled dataset with a confusion matrix and confusable-pattern audit.