Moveworks

Parses unstructured, conversational employee requests in natural language and extracts intent, required action, and relevant context without requiring rigid templating or perfect phrasing. Handles ambiguous, multi-part, or poorly formatted support requests.

Automatically resolves common employee support issues without human intervention by executing predefined resolution workflows. Handles password resets, access provisioning, software installations, and other routine tasks directly.

Ensures support actions comply with organizational policies, security requirements, and regulatory standards. Prevents unauthorized actions and maintains audit trails for compliance reporting.

Improves resolution quality and accuracy over time by learning from successful resolutions, failed attempts, and human feedback. Adapts to organization-specific patterns and terminology.

Provides comprehensive analytics on support operations including ticket volumes, resolution rates, deflection metrics, cost savings, and trend analysis. Generates reports for stakeholder visibility and decision-making.

Connects to and orchestrates actions across multiple enterprise systems (ServiceNow, Jira, Okta, Slack, etc.) to resolve issues without creating data silos. Synchronizes information and executes cross-system workflows seamlessly.

Automatically handles and resolves support requests before they reach human agents, reducing overall ticket volume and support costs. Tracks deflection metrics and identifies which issue types are being resolved autonomously.

Provides a chat-based interface where employees can describe their issues conversationally and receive immediate responses, guidance, or resolution without navigating ticketing portals or knowledge bases.

Maintains awareness of employee identity, department, role, and permissions to provide personalized support and ensure actions respect access control boundaries. Prevents unauthorized access requests and tailors responses to user context.

Supplements AI responses with relevant information from organizational knowledge bases, documentation, and FAQs to provide accurate, sourced answers. Learns from and references existing support documentation.

Automatically categorizes incoming support requests by type, urgency, and required resolution path, then routes them to appropriate resolution workflows or human agents. Ensures issues reach the right handler.

Reduces the time between issue submission and resolution by automating resolution steps, prioritizing urgent issues, and eliminating back-and-forth communication delays. Tracks and reports MTTR improvements.

Enhances employee satisfaction by providing immediate, conversational support without wait times or complex processes. Tracks satisfaction metrics and identifies friction points in support experience.