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TicketPilot

KI-gestützte Ticket-Automatisierung für schnellere Problemlösungen und höhere Kundenzufriedenheit.

Organisationen investieren heute stark in Service und Support—oft auf Kosten echter Innovation. Wiederholte Tickets verstopfen Workflows, und wichtige Informationen gehen in unstrukturiertem Text, alten Anhängen oder Screenshots verloren. Manuelle Triage verlangsamt die Reaktionszeiten, und fragmentierte Daten in mehreren Tools führen dazu, dass Anhänge ungelesen bleiben, Protokolle nicht analysiert werden und Kontext fehlt. Das Ergebnis: höhere Kosten, abgelenkte Teams und unzufriedene Kunden und Mitarbeitende.

How TicketPilot Revolutionizes Your Support Workflow

  • No more siloed information. TicketPilot automatically ingests every ticket element—emails, attachments, logs, screenshots, even voice notes—into a unified, fully indexed repository.

    • Automated Triage & Routing
      AI classifiers instantly understand ticket content and dispatch it to the right specialist or team.

    • Contextual Similarity Search
      Instantly surface past tickets and proven resolutions with semantic search across your entire history.

    • Effort & Risk Forecasting
      Machine-learning models predict resolution time, resource needs, and potential escalation risks.

    • Live Sentiment Monitoring
      Continuous analysis of ticket tone flags at-risk customers so you can intervene before escalation.

    • Dynamic Summaries & Translation
      Generate clear, brief overviews and translate them into any language—keeping teams and customers on the same page.

  • A built-in PII agent detects and redacts sensitive information in real time, ensuring every ticket record meets regulatory standards without manual effort.

Rapid Deployment & Seamless Integration

  • Swiss-hosted SaaS or On-Premise: You choose where your data lives.

  • Out-of-the-Box Connectors: Plug into Jira, ServiceNow, and any REST API instantly.

  • Flexible Extensions: Prebuilt plugins, vector-search endpoints, and webhooks tailor to your toolchain.

  • Self-Service Learning: Retrain models on your own ticket history—no data-science department required.