Data readiness for implementing Now Assist on the ServiceNow AI Platform
Summarize
Summary of Data readiness for implementing Now Assist on the ServiceNow AI Platform
High-quality data is essential for the effective implementation of Now Assist on the ServiceNow AI Platform. Accurate, complete, and contextually relevant data enables AI to deliver precise and actionable outputs, enhancing user experience and operational efficiency. The quality of your data directly influences AI performance and user trust, making data readiness a critical focus prior to implementation.
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Key Features
- Data Quality Requirements: Ensure data is complete, consistent, and structured to facilitate effective AI interactions.
- Now Assist Readiness Evaluation App: Automates the process of assessing data readiness, providing actionable recommendations for improving catalog entries, cases, and incidents.
- Now Assist Data Kit: Allows for the curation and cleansing of data, enabling the creation of custom datasets for tailored AI evaluations.
- Stakeholder Alignment: Engage data owners, product managers, and engineers to establish shared standards for AI-ready data.
Key Outcomes
By investing in data readiness, organizations can expect smoother implementation of Now Assist, increased ticket deflection rates, and enhanced user satisfaction. High-quality data fosters user trust in AI outputs, leading to greater adoption and maximizing the return on investment. Effective data preparation minimizes rework and deployment issues, ensuring that AI features work seamlessly from the outset.
High-quality data that is complete, accurate, and contextually relevant is the foundation for delivering precise, meaningful, and trustworthy AI responses.
Now Assist requires high-quality data
To unlock the full potential of Now Assist 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, Now Assist can interpret 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, Now Assist relies on detailed records that reflect the full lifecycle of a task. Short or incomplete cases often lack the depth needed for meaningful AI interpretation, 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 ensures that AI features like summarization, recommendations, and workflow guidance operate smoothly from day one. This leads to higher ticket deflection rates and improved operational efficiency, allowing teams to focus on strategic tasks rather than repetitive support.
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 and maximizing return on investment. Ultimately, investing in data quality is an investment in user satisfaction, AI performance, and long-term success.
- 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 Now Assist on the ServiceNow AI Platform.
- Audit Service Catalog items.
For details, see Service Catalog readiness for Now Assist on the ServiceNow AI Platform.
- Use the Now Assist Readiness Evaluation app to assess catalog, case, and knowledge data.
- Use the Now Assist Data Kit to curate and cleanse data sources.
- Align stakeholders (data owners, product managers, engineers) around shared standards for AI-ready data.
For details, see AI governance for Now Assist on the ServiceNow AI Platform.
For more information, see Now Assist Data Readiness Checklist.
Now Assist Readiness Evaluation app
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 Now Assist 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 Now Assist Readiness Evaluation.
Install Now Assist Readiness Evaluation by requesting it from the ServiceNow Store. Visit the ServiceNow Store 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.
Now Assist Data Kit
If the base system Now Assist skills don't fit your needs, use the Now Assist Data Kit to curate, cleanse, and manage data for AI evaluations. You can create custom datasets and data collections that can be used in Now Assist Skill Kit for evaluation. For more information, see Now Assist Data Kit.