ServiceMax AI
ServiceMax AI is an AI-powered assistant designed to enhance productivity and streamline service workflows across the ServiceMax platform. It integrates with Salesforce and external repositories to deliver intelligent automation, contextual insights, and natural language interaction for technicians, service managers, and administrators.
ServiceMax AI operates through a modular architecture that includes configurable AI Actions, specialized agents, and a centralized AI Console. It supports both manual and automated execution of tasks, enabling users to retrieve information, generate summaries, and perform transactions within their service records.
Key Capabilities
Intelligent Automation
• AI Actions: Configurable workflows that execute tasks such as summarizing work orders, creating cases, and checking inventory. These actions are authored using structured instructions and can be triggered manually or via Service Flow Automation (SFA).
• Agent Skills: Modular, deterministic logic units administrators configure in the AI Console and reuse inside AI Actions or multi-agent flows to deliver consistent calculations, lookups, and validations at scale.
• Multi-Agent Coordination: AI Actions can invoke multiple agents in sequence, enabling complex workflows such as troubleshooting, diagnostics, and record creation.
Contextual Data Access
• Data Source Configuration: Administrators can define which Salesforce objects and fields are accessible to ServiceMax AI. This includes support for filter expressions, referencing objects, and contextual instructions to improve response accuracy.
• Knowledge Access Agent: Retrieves information from Salesforce, OneDrive, SharePoint, and other external repositories. Supports document uploads via API, and the AI Console, and links documents to products for contextual retrieval.
Conversational Interface
• AI Assistant: Available in the Go app, Salesforce Web, and Zinc. Users interact with service data using natural language prompts. The assistant understands context and responds with relevant information.
• Saved Prompts: Users can create, store, and reuse frequently used queries. Prompts are context-aware and visible only within their relevant object scope.
• Multilingual Support: Automatically detects and responds in the user’s preferred language. UI labels and system messages are localized based on profile settings.
Administrative Control
• AI Console: Centralized interface for configuring agents, actions, data sources, and chat behavior. Includes tools for testing configurations, managing permissions, and monitoring usage.
• Run AI Action: Allows administrators to validate AI instructions and troubleshoot configurations using actual data records in a sandbox-like environment.
• Model Context Protocol (MCP) Server: Standardized, secure gateway that exposes approved AI Actions as MCP tools for external clients via a unified API, with org‑scoped authentication, and real‑time configuration sync.
Analytics and Optimization
• ServiceMax AI Analytics: Dashboards provide insights into AI usage, prompt effectiveness, and credit consumption. Logs include trace IDs, data source queries, and user feedback.
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