--- sourceDocument: Brazil Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Managing data for AI # Managing data for AI {#ariaid-title1} Release version: Brazil Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Build the data foundation and search infrastructure that AI capabilities depend on to deliver accurate, relevant results. The quality and accessibility of your enterprise data directly affects how effective your AI capabilities are. Generative AI outputs are grounded in the content your instance provides. If that content is outdated, incomplete, or poorly structured, AI-generated summaries, answers, and recommendations reflect those gaps. ## Connecting enterprise data {#platai-managing-data-ai__section_u4z_4y5_rkc} Workflow Data Fabric is the unified data foundation that connects enterprise data where it lives, governs it through stable contracts, and makes it ready for workflows, analytics, and AI. Data is often scattered across dozens of systems, and integrations are rebuilt team by team. Workflow Data Fabric addresses this challenge so that after data is connected and governed, any team can discover and reuse it without rebuilding pipelines or compromising data integrity. To learn about connecting enterprise data where it lives, governing it through stable contracts, and making it ready for AI, see [Connecting enterprise data for AI](https://www.servicenow.com/docs/huyJLz_PIjHzAGddAbEj2w "Workflow Data Fabric connects enterprise data across systems, governs it through stable contracts, and makes it available to AI agents, workflows, and analytics on the ServiceNow AI Platform."). ## Knowledge Graph {#platai-managing-data-ai__section_v4z_4y5_rkc} Knowledge Graph creates a connected representation of data that maps entities and their relationships, adding context and meaning to information across your enterprise. This semantic layer enhances Virtual Agent, AI agents, and generative AI skills by enabling natural language queries against structured data, providing user context such as role, department, and location for personalized responses, and simplifying interactions through automatic slot-filling in forms and chat requests. To map the entities and relationships that give AI the context for natural language queries, personalized responses, and automatic slot-filling, see [Knowledge Graph](https://www.servicenow.com/docs/ODL8xlj~CIOUpVIu5TP1eg "The Knowledge Graph application, uses the structured and unstructured data from ServiceNow records, knowledge bases, and external sources to enhance the performance of ServiceNow Otto for Virtual Agent, AI agents, and generative AI skills."). ## AI Data Kit {#platai-managing-data-ai__section_w4z_4y5_rkc} AI Data Kit enables you to add datasets to a data catalog and create data collections for evaluation in the ServiceNow SDK. When the base system generative AI skills don't fit your needs, AI Data Kit provides the tools for creating custom datasets that can be used to develop and evaluate custom AI capabilities on your instance. To build custom datasets and data collections for developing and evaluating AI capabilities in the ServiceNow SDK, see [AI Data Kit](https://www.servicenow.com/docs/UDcKQGy2gJNk9~AydvX7gw "Use ServiceNowAI Data Kit to add datasets to a data catalog. The curated data works with AI Skill Kit to enable AI skill development and evaluation."). ## AI Search {#platai-managing-data-ai__section_x4z_4y5_rkc} AI Search is the retrieval layer that powers search experiences across the ServiceNow AI Platform®. AI Search indexes content from your instance and from connected external sources, then delivers relevant results through platform applications such as Global Search, Service Portal, Employee Center, and workspaces. Configuring AI Search effectively, including defining search sources, search profiles, and relevancy settings, is a high-impact step in your AI implementation. To learn about configuring the search sources, profiles, and relevancy settings that power retrieval across Global Search, portals, and workspaces, see [AI Search on the ServiceNow AI Platform](https://www.servicenow.com/docs/Ei~SR9L7wJ__njocAzJ1RA "AI Search is how the ServiceNow AI Platform finds and delivers the information you need."). ## External Content Connectors {#platai-managing-data-ai__section_y4z_4y5_rkc} External Content Connectors index content and metadata from external source systems such as Confluence, SharePoint Online, Google Drive, and other supported repositories, making those systems searchable through AI Search. Indexing preserves the original user access permissions from the source system, so users only see content they are authorized to access. Connector administrators schedule content crawls and permission crawls to keep indexed content current. To learn about making external systems searchable through AI Search while preserving source permissions, see [External Content Connectors on the ServiceNow AI Platform](https://www.servicenow.com/docs/793kNszVDFr8lWZA8vn2oQ "The External Content Connectors application helps make ServiceNow AI more useful and context-aware. It enables the ServiceNow AI Platform to securely access content stored in external repository systems and bring that content into AI-driven experiences."). Note: Data quality is an ongoing effort. Establish regular review cycles for your knowledge base, search sources, and AI training data to maintain the quality of AI outputs as your organization evolves.