A modern ticketing system with AI-powered routing, priority scoring, SLA tracking, and an embeddable widget. Integrates with TaskFlow for autonomous task execution.
Ollama-powered classification routes tickets to the right team based on content analysis, historical patterns, and agent expertise.
ML models score ticket urgency based on language, customer tier, SLA proximity, and business impact. No more manual triage.
Real-time SLA countdown timers with escalation rules. Automatic notifications when tickets approach or breach SLA thresholds.
16KB vanilla JS widget drops into any website. Voice STT input, file attachments, and custom branding. Zero dependencies.
Approved tickets automatically create TaskFlow tasks. AI agents can execute routine fixes autonomously with human approval gates.
HTMX-R powered dark-mode interface with real-time updates, keyboard shortcuts, and a sidebar layout optimized for high-volume support.
Runs on local Ollama models — no per-ticket API costs. Six specialized models handle routing, priority, estimation, and expansion.
Tickets don't just get tracked — they get executed. Approved tickets flow into TaskFlow where AI agents implement fixes.
The embeddable widget is 16KB of vanilla JavaScript with voice-to-text, attachments, and full customization. No React, no framework.
No. TicketFlow uses Ollama models running on local hardware. Zero per-ticket AI costs after initial setup.
16KB total — vanilla JavaScript, no dependencies. It loads faster than a single React component.
Yes. Approved tickets create TaskFlow tasks that AI agents can execute autonomously, with configurable human approval gates.
Yes. Email ingestion creates tickets automatically with sender identification, thread tracking, and attachment handling.
Stop drowning in support tickets. Let AI handle routing, priorities, and SLA tracking while your team focuses on solving problems.