AI Governance & Lifecycle Management
Govern AI use cases, agents, and workflows with clear ownership, controls, and lifecycle management.
A governance model for enterprise AI adoption
AI Governance & Lifecycle Management helps organisations define how AI-enabled workflows and agents should be introduced, managed, monitored, and improved over time.
The service connects AI governance with ServiceNow processes, platform controls, security requirements, data policies, compliance needs, and business ownership. It helps create a responsible AI operating model that supports innovation without losing control.
The result is a structured approach to AI adoption that is practical, auditable, and ready for scale.
- Map
We structure AI use cases, agents, workflows, owners, risks, and expected outcomes.
- Govern
We define roles, decision rights, lifecycle rules, approval paths, controls, and review processes.
- Monitor
We set performance, adoption, risk, quality, compliance, and value indicators for AI-enabled workflows.
- Improve
We create a responsible AI operating model that supports auditability, security, continuous review, and safe scaling.
What comes with it?
After this service, organisations have a clear governance model for managing AI-enabled workflows and agents on ServiceNow. What changes in practice?
Clear ownership
Every AI use case has defined business, technical, and governance responsibility.
Managed lifecycle
AI initiatives are controlled from idea and approval to monitoring, improvement, and retirement.
Lower risk
Security, data, compliance, and operational risks are identified and managed earlier.
Audit readiness
AI-enabled workflows are easier to document, review, explain, and audit.
Better monitoring
Teams can track how AI performs, where exceptions appear, and whether expected value is being delivered.
Responsible scaling
AI adoption can grow without losing control over quality, risk, and accountability.
Turn AI Act readiness into action
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Start with AI governance
Let’s define how your AI use cases, agents, risks, controls, and ownership should be managed before they scale.