Table Of Contents

    Description

    Moveworks' agentic AI assistant intercepts employee support requests across Slack, Teams, and ServiceNow channels, then autonomously resolves tickets through API calls to backend systems, knowledge base searches, and workflow automation using a multi-LLM reasoning engine that processes natural language queries and executes end-to-end task completion. The platform's Agent Studio enables developers to configure custom AI agents through a low-code editor that connects to 100+ enterprise integrations, while the AI Agent Marketplace provides pre-built solution packs for IT, HR, finance, and facilities teams. Enterprise administrators deploy agents through containerized infrastructure that maintains data locality while processing support tickets, password resets, software provisioning, and policy lookups with autonomous resolution rates exceeding 88% across distributed workforces.

    Customers

    BroadcomLeidosEquinixUnityNutanixPaloaltoAkzoNobel

    What Problem Does Moveworks Solve?

    Employees flood IT, HR, and other support teams with routine requests like password resets, software access, and policy questions, creating ticket backlogs that slow down both employees and support staff. This leads to productivity losses, missed deadlines, and frustrated workers waiting hours or days for simple answers. Moveworks automatically resolves these common support requests through conversational AI that integrates with existing workplace tools, letting employees get instant help while freeing up support teams for complex issues.

    Pros

    • End-to-End IT Support Automation:
      Moveworks uses AI to resolve common IT and HR requests, integrating with enterprise systems to automate issue resolution.
    • Conversational Multichannel Agent:
      Operates via chat across Teams, Slack, email, and web portals, reducing ticket volume and accelerating support.
    • Proactive Issue Detection:
      Leverages real-time monitoring and NLP to identify and resolve incidents before users escalate them to help desks.

    Cons

    • Integration Dependency Risk:
      Deep integration with multiple systems (ticketing, directory, monitoring) adds complexity and potential points of failure.
    • Customization Requirement:
      Adapting resolution workflows and failure predictions to unique organizational workflows requires SME involvement.
    • Scale‑Driven Pricing:
      Cost structure typically increases with automation coverage, user volume, and integration depth, requiring careful investment planning.

    Last updated: October 30, 2025

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