The architecture for AI action

ServiceNow functions as the AI control tower for enterprise business by leveraging four critical architecture pillars, including:

Sense: Automatically identifies and catalogs AI models, copilots, agents, datasets, and prompts across internal and third-party systems into a single, living AI inventory that is housed in the CMDB.

Decide: Aligns AI requests to enterprise business goals with structured scoring and architecture reviews. This helps prioritize high-value opportunities, so every AI investment remains synced to strategic objectives.

Act: ServiceNow’s key differentiator is the ability to execute autonomous, end-to-end workflows. The ability to apply governance playbooks, automate risk assessments, and orchestrate approvals ensures organizations can replace dozens of manual compliance spreadsheets a year with workflow-driven processes.

Secure: AI workflows require guardrails at the moment of action, not after the fact. AI Control Tower ensures every AI system’s assets and identities are compliant, secure, and aligned with strategy. Full governance support is achieved by mapping controls to regulatory frameworks and enforcing guardrails from intake to retirement. Continuous monitoring for data leaks, unsafe prompts, privileged misuse, dormant agents, and misconfigurations helps ensure trust and remediations are automatically triggered without the need for constant human intervention.

Can we measure, govern, and trust AI at scale?

Listen in as Girish Srinivasan, VP of Data & Analytics, details how ServiceNow uses its AI Control Tower to govern, measure, and manage more than 240 use cases across their business, from models to data sets.