--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Data readiness # Data readiness for implementing AI on the ServiceNow AI Platform {#ariaid-title1} Release version: Australia Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Data readiness for implementing AI on the ServiceNow AI Platform High-quality, complete, accurate, and contextually relevant data is essential for enabling precise and trustworthy AI responses on the ServiceNow AI Platform. Proper data readiness ensures AI delivers accurate, context-aware, and actionable outputs, which improves user experience through faster resolutions, effective self-service, and reliable AI-generated content such as incident summaries and knowledge articles. Well-prepared data enhances user trust, accelerates AI implementation, and reduces deployment friction. Show full answer Show less ## Key Recommendations for Data Readiness * Audit task records for completeness and clarity, ensuring resolution fields have detailed summaries. * Avoid vague or generic language in task descriptions and updates. * Maintain a clean, structured knowledge base linked to resolved cases. * Audit Service Catalog items to ensure readiness for AI. * Use the AI Readiness Evaluation app to automate assessment of catalog, case, and knowledge data. * Leverage the AI Data Kit for curating and cleansing data sources to create custom datasets for AI evaluation. * Align stakeholders (data owners, product managers, engineers) on shared standards for AI-ready data through governance practices. ## Tools to Support Data Readiness * **AI Readiness Evaluation app:** Automates data readiness assessments by analyzing catalog entries, cases, and incidents, offering actionable recommendations and hyperlinks to fix issues. It also helps evaluate potential impacts from updates or customizations. This app can be requested via the ServiceNow Store. * **AI Data Kit:** Provides capabilities to curate, cleanse, and manage custom datasets beyond the base generative AI skills, allowing tailored AI skill evaluations. ## Benefits for ServiceNow Customers By ensuring data readiness, customers can expect more consistent and reliable AI performance, higher user confidence and adoption, and minimized rework during AI implementation. This foundation supports strategic focus by teams and enhances overall user satisfaction with AI-driven processes on the ServiceNow platform. High-quality data that is complete, accurate, and contextually relevant is the foundation for delivering precise, meaningful, and trustworthy AI responses. ## AI requires high-quality data {#sn-ai-impl-data-readiness__section_ydr_xp1_zgc} To unlock the full potential of AI on your instance, the quality of your data is paramount. For AI to deliver accurate, context-aware, and actionable outputs, it must be trained and operate on high-quality data that is complete, consistent, and structured. When your data is well-prepared, AI can process user queries with greater accuracy, enabling faster resolutions and more effective self-service experiences. Whether it's summarizing complex incidents, generating resolution notes, or creating knowledge articles, AI requires detailed records that reflect the full lifecycle of a task. Short or incomplete cases often lack the depth needed for meaningful AI processing, which can result in vague or unhelpful responses. The importance of data readiness extends beyond technical accuracy---it directly impacts user trust and adoption. Clean, ready data also accelerates implementation. It minimizes the need for rework, reduces deployment friction, and helps AI features like summarization, recommendations, and workflow guidance operate reliably from the start. This leads to more consistent outcomes, helping teams focus on strategic tasks. Moreover, high-quality data fosters trust in AI outputs. When users consistently receive reliable and context-aware responses, their confidence in the system grows---driving adoption. Ultimately, data quality supports user satisfaction and AI performance. Follow these tips to assess your organization's data readiness: * Audit task records for completeness and clarity, and ensure resolution fields are consistently filled out with clear summaries. * Avoid using vague or generic language in task descriptions and updates. * Maintain a clean and structured knowledge base and ensure that knowledge articles are linked to resolved cases.For details, see [Knowledge Base readiness for AI on the ServiceNow AI Platform](https://www.servicenow.com/docs/Ij4VOnq78uF2Hf1Sc_Jy3A "The knowledge base enables ServiceNow Otto to deliver intelligent, accurate, and context-aware responses across AI Search, Q&A Genius Results, and other AI-powered experiences."). * Audit Service Catalog items. For details, see [Service Catalog readiness for AI on the ServiceNow AI Platform](https://www.servicenow.com/docs/Ho2Vp6HyHyWCYo1kP59taQ "A well-structured Service Catalog is essential to supporting AI capabilities. As the backbone of many self-service workflows, the catalog enables ServiceNow Otto to interpret user requests accurately, present the right options, and reduce complexity for users."). * Use the AI Readiness Evaluation app to assess catalog, case, and knowledge data. * Use the AI Data Kit to curate and cleanse data sources. * Align stakeholders (data owners, product managers, and engineers) around shared standards for AI-ready data.For details, see [AI governance on the ServiceNow AI Platform](https://www.servicenow.com/docs/hdS9JlTlwpRKBPUKrAMHiw "As organizations increasingly adopt AI to drive efficiency, innovation, and customer experience, AI governance becomes essential to ensure responsible use, regulatory compliance, and alignment with enterprise goals. ServiceNow provides a comprehensive governance framework through key roles and applications that work together to manage AI across its life cycle."). {#sn-ai-impl-data-readiness__ul_rmm_jjq_zgc} For more information, see [Data Readiness Checklist](https://mynow.servicenow.com/now/best-practices/assets/now-assist-data-readiness-checklist). ## AI Readiness Evaluation app {#sn-ai-impl-data-readiness__section_y3s_rs1_zgc} Data readiness assessments can be time-consuming and manual, especially when evaluating whether catalog items are conversational or if knowledge articles are embedded in inaccessible formats like PDFs. The AI Readiness Evaluation app helps automate this process by analyzing service catalog entries, cases, and incidents, and then providing actionable recommendations to prepare data for AI use. It also enables you to assess whether updates, installations, or customizations of your instance could affect implementation. The assessments provide direct hyperlinks to improve any issues found. For more information, see [AI Readiness Evaluation](https://www.servicenow.com/docs/BkdAg3f7CtFEy0aUsr~AYA "The AI Readiness Evaluation app helps prepare your organization for implementing agentic AI for ITSM and CSM, and five other jobs."). Install AI Readiness Evaluation by requesting it from the ServiceNow Store. Visit the [ServiceNow Store](https://store.servicenow.com/sn_appstore_store.do#!/store/home) to view all the available apps, and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the [ServiceNow Store version history release notes](https://www.servicenow.com/docs/r/store-release-notes/sn-store-release-notes.html). ## AI Data Kit {#sn-ai-impl-data-readiness__section_osg_rz1_zgc} If the base system generative AI skills don't fit your needs, use the AI Data Kit to curate, cleanse, and manage data for AI evaluations. You can create custom datasets and data collections that can be used in AI Skill Kit for evaluation. For more information, see [AI Data Kit](https://www.servicenow.com/docs/p7tXd5m0zbv5VR06AUARQw "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.").