ServiceNow AI Control Tower

Paid#2 of 56 in AI Governance Software

ServiceNow AI Control Tower: A broad, ServiceNow-centered control tower for enterprise AI inventory, risk, compliance, and value. Ranked #2 of 56 in AI Governance Software by our editors (9.3/10); pricing: Pricing on request; best for large enterprises using ServiceNow workflows.

9.3/10Editor score

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At a glance

Editor score
9.3 / 10
Pricing
Pricing on request
Best for
Large enterprises using ServiceNow workflows
Free plan
No
AI system inventory
Yes
Founded
2004 · Santa Clara, California, USA
Facts checked
23 Sep 2026

Where it wins
- Centralizes AI assets with lineage, ownership, relationships, and CMDB context
- Combines risk, compliance, controls, attestations, and policy exceptions
- Integrates with major AI, cloud, data, and business platforms
Where it doesn't
- Quote-based pricing requires contacting sales
- Cloud deployment and web access limit deployment flexibility
- Enterprise focus may not suit smaller organizations

Our verdict on ServiceNow AI Control Tower

ServiceNow AI Control Tower is designed for chief AI officers, technology leaders, and risk and security teams managing artificial intelligence across a large organization. It automatically discovers AI agents, models, copilots, MCP servers, datasets, prompts, and other assets into a centralized inventory. Records can include lineage, ownership, relationships, and ServiceNow CMDB context, while lifecycle and governance status remain in one system. The product also connects AI oversight with adoption, business value, and ROI measurement.

Pricing is quote-based, with the vendor directing prospective customers to contact sales; there is no free plan. A vendor promotion offered AI Control Tower free for Year 1 for qualifying purchases, with a paid commitment from Year 2, but that offer ended June 30, 2026. Its ecosystem includes Anthropic, AWS, Microsoft Azure AI Foundry, OpenAI, Snowflake, Databricks, Google Cloud Vertex AI, Hugging Face, IBM, and Salesforce. This integration breadth suits enterprises coordinating AI assets across multiple providers and data platforms, especially when ServiceNow already anchors operational workflows.

Governance coverage is extensive: teams can run AI and regulatory risk assessments, track inherent and residual risks, use ratings and heat maps, monitor compliance against the EU AI Act, NIST AI RMF, and California AI Transparency Act, and record controls, attestations, issues, and policy exceptions. Agent monitoring uses metrics and log traces, adding an operational view beyond documentation. GDPR, SSO/SAML, and two-factor authentication are listed compliance or security capabilities, with community and documentation support. Organizations seeking a cloud, web-based control layer integrated with ServiceNow should consider it; teams needing flexible deployment or a lighter, non-enterprise governance tool should look elsewhere.

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ServiceNow AI Control Tower pricing

Plans Pricing on requestPaid No free plan — trial or paid only. Prices checked 23 Sep 2026.

See plans on servicenow.com

ServiceNow AI Control Tower fact sheet

Free plan	No
Paid from	Not verified
AI system inventory	Yes
Risk assessments	Yes
Policy and controls	Yes
Compliance frameworks	EU AI Act; NIST AI RMF; California AI Transparency Act
Deployment options	Cloud
Listed integrations	Anthropic; AWS; Microsoft Azure AI Foundry; OpenAI; Snowflake; Databricks; Google Cloud Vertex AI; Hugging Face; IBM; Salesforce
Deployment	Cloud
Platforms	Web
Compliance & security	GDPR, SSO/SAML, 2FA
Support	Community, Docs
Built for	Enterprise (editorial estimate)
Integrations	10 integrations: Anthropic, AWS, Microsoft Azure AI Foundry, OpenAI, Snowflake, Databricks …
Pricing	Pricing on request (source)
Website	servicenow.com
Facts checked	23 Sep 2026

ServiceNow AI Control Tower integrations

ServiceNow AI Control Tower lists 10 integrations on its own site.

Anthropic
AWS
Microsoft Azure AI Foundry
OpenAI
Snowflake
Databricks
Google Cloud Vertex AI
Hugging Face
IBM
Salesforce

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Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update