AI Onboarding Hub delivers a unified, granular readiness assessment framework that goes beyond the standard Now Assist Evaluation. It analyzes configuration accuracy, dependency gaps, and skill-level compatibility across AI Agent, Virtual Agent, and AI Search. With the enhanced Assessment Plus engine, it validates fields, OOB configurations, UI actions, choice lists, and workflow alignment to uncover risks early.
A centralized dashboard consolidates issues, observations, and readiness scores across Virtual Agent, AI Search, ITSM, CSM, HRSD, and other suites, giving teams clear guidance on what to fix and why. By providing actionable insights and automated evaluations, AI Onboarding Hub accelerates AI adoption, minimizes deployment risks, and ensures reliable performance of GenAI skills and Agentic workflows.
- Unified AI Onboarding Workspace – A single Next Experience workspace providing end-to-end visibility into AI readiness across Now Assist and Agentic AI through dashboards, charts, scorecards, and prioritized insights.
- Guided Checklist–Driven Setup – A dynamic, stage-based checklist covering Platform, ITSM, CSM, and HRSD, Now Assist Panel, Now Assist AI Search and Now Assist Virtual Agent guiding teams through AI Readiness, Remediate, and Observe phases with real-time status indicators.
- Saved Configuration & Resume Flow – Automatically preserves selected skills and configurations, allowing users to revisit, edit, and continue onboarding seamlessly.
- App Validation & Drift Analysis – Identify upgrade risks, Analyze Issue count customization drift, missing OOB files, and high-risk applications with visual summaries and detailed breakdowns.
- Analyze & Prioritized Fix Overview – Consolidated view of issues and observations with severity, skill, GenAI, and product-suite filters, along with Go-Live readiness tracking and the count if the skills/workflows which have passed the 80% of Go-live readiness.
- Remediation Dashboard – Compatibility insights across Subflows, Actions, and Catalog items, segmented by conversational and non-conversational capabilities.
- Testing Page – Provides real-time pass/fail insights to monitor testing progress and overall readiness through ATF automated testing for Agentic Workflows and Manual Testing for individual AI skills using defined test steps.
- Observability & Optimization – Monitor workflow and agent performance using execution metrics, usage trends, failure analysis, and optimization views for Knowledge and Service Catalog.
- Download Report: After completing the Guided Step, users can download the generated report. The report content is dynamically based on the skills selected on the Checklist page.
- AI Agent Overview – Evaluate conversational readiness across Topics, Subflows, Actions, and Conversational Catalogs, highlighting top candidates for LLM-based modernization.
- App Validator Workspace – Detect missing or outdated applications, manage dependencies safely, assess upgrade blockers, and resolve issues efficiently from a dedicated workspace.
- Agentic AI Optimizer – Real-time monitoring of Agentic workflows with KPIs, scope-based filtering, drilldowns, and visual maps such as Node Map and Content Tree.
- Virtual Agent Overview – Assess conversational flows and identify top NLU topics recommended for migration to LLM-powered skills.
- AI Search Overview – Validate indexed Knowledge and Catalog content quality and monitor external connectors (Confluence, SharePoint, Jira) for crawl-ready AI Search performance.
- Issue Highlights Dashboard – At-a-glance visibility into issues and observations across Now Assist and Agentic AI product suites with drill-down navigation.
- Automated Issue Categorization – Classifies findings into blocking issues or advisory observations with severity levels (High/Medium/Low) to support efficient prioritization and planning.
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This release delivers a unified AI onboarding experience with enhanced readiness assessments, dashboards, ATF and manual testing, downloadable reports, and automated evaluations across Now Assist, Agentic AI, Virtual Agent, and AI Search.
Administrators and consultants can quickly identify configuration gaps, assess testing outcomes, and determine remediation actions through guided assessments and dynamic dashboards—reducing deployment risks and accelerating GenAI adoption across CSM, ITSM, HRSD, Platform, AI Search, and Virtual Agent.
AI Readiness Evaluation