🚀 So You’ve Run Your Readiness Evaluation — Now What?
If you’ve installed and configured the Now Assist Readiness Evaluation (NARE) in ServiceNow, you’ve already taken the first big step toward deploying AI safely and confidently. But once those charts, scores, and percentages appear, the next question is: What do these results actually mean?
This post helps you decode your NARE scores — turning data into clear next steps for yourNow Assist and agentic AI rollout.
📊 The Dashboard: Your AI Readiness Command Center
🟢 Go or No-Go: Interpreting the Readiness Score
📘 Reading the Detailed Assessments
📊 The Dashboard: Your AI Readiness Command Center
When you open Workspaces → Now Assist Readiness Evaluation, you’ll see a dashboard divided into two main tabs:
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Agentic AI Assessment - (for agentic ITSM and CSM)
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Now Assist Assessment (for AI Search, Virtual Agent, ITSM, CSM and HRSD)
Each tab includes six key report areas that tell the story of your AI readiness from multiple angles.
🧾 Here’s how to read them:
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⏱️ Total Estimated Effort (Days)
Shows the total estimated development time needed to fix the identified issues. This helps you plan resources and timelines.Use it for: estimating how long “go-live readiness” might take
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🧩 Total Issues
This shows the total number of findings across the products NARE detected that could impact your implementation.Tip: A high number isn’t bad; use the categorized views below to see what type of issues they are.
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🗂️ Estimated Effort – Categorized
Breaks down the remediation work by issue type. Each product appears as a bar in the chart. -
⚙️ Issues – Categorized
Shows the percentage of issues by category for each product, giving you a sense of where your biggest weaknesses lie.Use it for: identifying the right kind of effort. For example it could be you need dev time, data cleanup, or support tickets.
- 📊 Estimated Effort – Trends
This area of the dashboard shows the trends over time in a bar chart for each products' estimated work effort. -
📈 Issues – Trends
This area of the dashboard shows the trends over time in a bar chart for the products that need the most attention before implementation.
🟢 Go or No-Go: Interpreting the Readiness Score
You will see the dash dashboard is divided into two main tabs:
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Agentic AI Assessment - (for agentic ITSM and CSM)
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Now Assist Assessment (for AI Search, Virtual Agent, ITSM, CSM and HRSD)
Your go/no-go status is the simplest way to gauge readiness at a glance:
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🟢 Go: Over 75% ready — you’re clear to move forward with implementation.
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🟡 No-Go: 75% or less — you’ve got work to do before enabling Now Assist AI features.
Each result is automatically categorized to help you act fast:
- Data issues → clean or restructure data
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Configuration issues → adjust platform settings
- Product issues → open a Now Support case
Click Go/No-Go to open the detailed report for the findings on each product.
These percentages do not live update. To update the dashboard rerun your scheduled jobs after making the suggested assessment fixes.
📘 Reading the Detailed Assessments
For a deeper dive, each assessment tab provides a summary report with estimated remediation efforts and visual indicators showing issue severity:
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✅ Non-blocker: No further action needed
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⚠️ Warning: Should be reviewed before implementation
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⛔ Blocker: Must be resolved before going live
You can download reports as PDFs or click the in-app hyperlinks to jump directly to the affected records or tables. Each assessment pulls data from key ServiceNow tables like:
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sn_assess_question(Questions) -
sn_assess_answer(Answers) -
sn_assess_assessment(Assessments) -
sn_assess_assessment_run(Assessment Runs)
This makes it easy to trace every issue back to its source and confirm exactly what’s impacting your readiness.
🔄 Rerunning Your Jobs: Tracking Improvement Over Time
After you’ve made the suggested fixes, rerun your GenAI/AgenticAI Assessment scheduled jobs.
Each rerun updates your dashboard with fresh data, helping you visualize improvement — fewer issues, lower estimated effort, and a stronger readiness score.
In other words: it’s your continuous feedback loop for AI readiness.
💡 Pro Tips for Reading Your Scores Like a Pro
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Look for trends, not just totals. Improving issue trends over time is a better success metric than one-time readiness.
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Focus on high-effort categories. These usually have the biggest impact on your timeline and success.
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Use color cues wisely. Those red and yellow bars aren’t just warnings — they’re prioritization signals.
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Don’t just fix — validate. Rerun assessments to confirm that your changes actually improved readiness.
🏁 Wrapping Up
Understanding your Now Assist Readiness Evaluation scores is about more than checking a percentage. It’s about interpreting the data to make informed, confident decisions before you roll out AI at scale.
By decoding your dashboard, tracking trends, and acting on the right priorities, you turn NARE from a static report into a living readiness strategy that keeps your AI deployment on track — and your rollout smooth.
