The AI Onboarding Hub provides continuous validation, remediation, and optimization to ensure Now Assist and Agentic AI perform reliably at enterprise scale.

AI adoption doesn't stop at onboarding. As configurations change, data evolves, and new AI capabilities are introduced, organizations need a way to continuously verify readiness, control drift, and maintain trust in AI outcomes.
The AI Onboarding Hub acts as the operational backbone for long-term AI success on ServiceNow.
The AI Onboarding Hub is a one stop solution that connects readiness assessments, configuration validation, remediation workflows, and optimization accelerators into a single, continuous lifecycle.
It ensures your ServiceNow instance stays aligned with GenAI execution requirements as you scale across Fulfillers, Requestors, and Agentic workflows.
Continuous validation of AI prerequisites, plugins, and configurations
Early detection of configuration drift and non-standard customizations
Guided remediation aligned to out-of-box ServiceNow patterns
Ongoing optimization using AI insights and analytics
Governance controls to maintain consistency, trust, and auditability
The Hub operates as a closed-loop system that continuously evaluates and improves AI readiness across your ServiceNow environment.

Capture workshop inputs and onboarding readiness
Verify plugins, apps, roles, and GenAI prerequisites
Identify overrides and deviations from OOB behavior
Recommend and apply aligned fixes
Enable skills and workflows safely
Track readiness trends and data quality
Confirm fixes and validate stability over time
Validate data, configuration, and access early to enable Now Assist and Agentic AI without rework.
Continuously detect drift, misconfigurations, and data issues before they impact AI outcomes.
Standardize AI behavior across Fulfillers, Requestors, and Agentic workflows using shared governance and data models.
The AI Onboarding Hub works alongside—and beyond—the AI Onboarding Program.
During onboarding, it validates readiness and supports remediation
After onboarding, it ensures ongoing stability and optimization
As customers scale into Requestor and Agentic AI, it enforces governance and control
This allows customers to move fast without losing trust or control.
Organizations running or planning Now Assist
Enterprises scaling AI beyond pilot use cases
Teams introducing Agentic workflows
Customers needing governance and auditability for AI