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CrewAI AMP vs ServiceNow AI Control Tower
CrewAI AMP
Platform for deploying, monitoring, and scaling CrewAI crews and agents
ServiceNow AI Control Tower
What ServiceNow calls a central hub to discover, secure, govern, observe, and measure AI
Short answer
CrewAI AMP is CrewAI’s platform for building, deploying, and monitoring CrewAI crews, and it also hosts them; ServiceNow describes AI Control Tower as a central hub to discover, secure, govern, observe, and measure AI across an enterprise.Source 1, Source 2 ServiceNow says it inventories AI agents, models, and MCP servers from first or third parties.Source 2
Where each one sits
Six layers of running AI agents at a company, and what each product’s own public sources say it covers.
These aren’t the same kind of product
- Where they overlap
- Both keep a catalog of agents and collect traces: AMP in Agent Repositories and execution traces, AI Control Tower, ServiceNow says, in its AI inventory and log traces.Source 2, Source 3, Source 4
- Where they differ
- On AMP, teams build and host CrewAI crews.Source 1 AI Control Tower inventories AI on ServiceNow and other platforms.Source 2, Source 5 ServiceNow says its separate AI Agent Studio builds agents.Source 6
- Running both
- ServiceNow’s docs name the CrewAI framework for Traceloop SDK tracing, configured in the agent’s code.Source 7 Coverage of crews deployed on AMP isn’t publicly documented.
CrewAI AMP
ServiceNow AI Control Tower
- Build agents: Not publicly documented
- Host and run agents: Not publicly documented
- Agents across organizations: Not publicly documented
At a glance
What each one is
CrewAI AMP
CrewAI AMP is CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production, extending its open-source framework.Source 1 Teams build crews in code, or in Crew Studio with natural language and a visual editor.Source 1, Source 8 CrewAI’s October 2025 launch post called it CrewAI AOP.Source 25
The differences that matter
Building and running agents
Agent inventory
CrewAI AMPAgent Repositories let an organization store, share, and reuse agent definitions; Automations is the operations hub for deployed crews.Source 3, Source 26
ServiceNow AI Control TowerServiceNow says it auto-discovers agents, models, MCP servers, and datasets into one inventory tied to the CMDB; connectors you set up reach external platforms.Source 2, Source 5, Source 16
For AMP, a registry that lists agents built outside CrewAI is not publicly documented. ServiceNow’s community documentation says only assets marked Managed get governance workflows and monitoring.Source 20
Where data goes
CrewAI AMPThe Enterprise plan can run on CrewAI’s cloud, your own VPC, or your own infrastructure.Source 17
ServiceNow AI Control TowerData moves from your instance to a central ServiceNow environment, possibly in another region, and possibly to a third-party cloud such as Azure.Source 27
CrewAI’s data residency commitments are not publicly documented. Separately, ServiceNow’s regional data routing option sends LLM and SLM requests to data centers in your region.Source 28
For security teams
What a security review asks, answered from each vendor’s public documentation.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| CrewAI AMP | ServiceNow AI Control Tower | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production.Source 1 It extends CrewAI’s open-source framework.Source 1 | ServiceNow describes it as a central hub to discover, secure, govern, observe, and measure AI across an enterprise, on the ServiceNow AI Platform.Source 2 |
| Maturity | CrewAI’s platform took the AMP name in October 2025.Source 25, Source 35 The Platform API is in beta.Source 31 | ServiceNow announced general availability on 6 May 2025.Source 36 ServiceNow’s community documentation says AI Gateway became generally available on 10 September 2026.Source 37 |
| Control | ||
| Agent registry and discovery | Agent Repositories, on both plans, let an organization store, share, and reuse agent definitions.Source 3, Source 17 Automations is the operations hub for deployed crews.Source 26 | ServiceNow says it auto-discovers agents, models, MCP servers, and datasets into one inventory tied to the CMDB.Source 2 Connectors you set up reach external platforms.Source 5, Source 16 |
| Identity and access control | Enterprise lists role-based access control, which can make a deployment private to allow-listed users and roles, and SSO with Microsoft Entra or Okta.Source 9, Source 17 | ServiceNow’s community documentation says AI Gateway verifies agent identity and issues scoped, short-lived OAuth 2.1 tokens for MCP connections through it.Source 12 |
| Ownership, policy, and revocation | On Enterprise, custom roles can set most features to Manage, Read, or No access.Source 9, Source 17 On both plans, flows can pause for human review.Source 17, Source 38 | The kill switch can contain a managed agent, revoking all of its active credentials across connected systems.Source 18, Source 19, Source 20 It covers ServiceNow and four connected platforms.Source 21 |
| Audit log and observability | Execution traces from inputs to outputs, with OpenTelemetry export to your own collector.Source 4, Source 32 AMP’s docs don’t describe a platform-wide audit log of admin events. | Audit logs show some workspace configuration changes.Source 28 Each kill-switch containment leaves an audit trail.Source 18 ServiceNow says metrics and traces monitor agents.Source 2 |
| Connection | ||
| How agents connect | Crews run on managed infrastructure, and a crew’s API is protected by a bearer token.Source 1, Source 29 Custom MCP servers must be reachable from the internet.Source 10 | Discovery authenticates to external platforms with credentials you provide.Source 16 Ports and egress are not publicly documented. |
| Agents across organizations | CrewAI agents can delegate tasks to remote A2A agents by URL.Source 39 A2A server agents on AMP, in preview, can authenticate requests with one of six schemes.Source 11 | Third-party systems like Microsoft Agent 365 can discover publishable agents via an open API.Source 40 Bringing in agents a partner controls: not publicly documented. |
| Protocol support | A2A server agents on AMP are in preview.Source 11 AMP can connect to MCP servers over Streamable HTTP and offers Export as MCP.Source 10, Source 26 | ServiceNow says it inventories MCP servers.Source 2 ServiceNow’s separate AI Agent Studio can connect external agents over A2A.Source 41 |
| Frameworks, models, and clouds supported | Deploys CrewAI Crews and Flows.Source 15 Crew Studio source downloads as a ZIP for work in code.Source 8 AMP’s docs don’t describe deploying other frameworks’ agents. | Connectors discover AI assets on external platforms.Source 5 Access intelligence supports governed agents on AWS, GCP Vertex AI, Azure, and Salesforce.Source 42 |
| Operations | ||
| Deployment options and data residency | The Enterprise plan can run on CrewAI’s cloud, your own VPC, or your own infrastructure.Source 17 Data residency commitments are not publicly documented. | ServiceNow says it runs on the ServiceNow AI Platform.Source 2 Data goes to a central ServiceNow environment, possibly in another region or a third-party cloud.Source 27 |
| Compliance attestations | CrewAI says it maintains a SOC 2 Type 2 certified security program.Source 33 Its trust center lists a HIPAA audit report from February 2026.Source 33 | ServiceNow says the company has an annual SOC 2 Type 2 attestation and ISO/IEC 42001 certification.Source 34 AI Control Tower’s coverage isn’t publicly documented. |
| Support and SLA | Community support on both plans; dedicated and Slack or Teams support on Enterprise.Source 17 An uptime SLA is not publicly documented. | ServiceNow’s community documentation points to Now Support.Source 43 ServiceNow’s Customer Support Addendum states a 99.8% availability SLA for production instances.Source 44 |
| Time and effort to get running | The deploy guide starts from a crew that runs locally; CrewAI says a first deployment typically takes around a minute.Source 29 Enterprise includes a 45-day onboarding.Source 17 | Which features you can use depends on your license.Source 45 ServiceNow’s community documentation says many customers implement it with a ServiceNow partner.Source 43 |
| Pricing model and public prices | Basic is free, with 50 workflow executions a month.Source 17 Enterprise is custom-priced.Source 17 | Contact ServiceNow for pricing.Source 2 ServiceNow’s community documentation says usage-based costs may apply.Source 23, Source 24 Fully managing external AI needs a separate license.Source 22 |
| Building | ||
| Agent building tools | Build crews in code or in Crew Studio, an AI-assisted workspace that uses natural language and a visual workflow editor.Source 1, Source 8 | ServiceNow’s separate AI Agent Studio creates, configures, and deploys agents.Source 14 Creating new custom agents is supported only in the Prime tier.Source 22 |
| Model access | CrewAI’s docs say any LLM provider CrewAI supports can be used, with your own API key; the Crew Studio setup guide lists OpenAI or Azure.Source 46 | Model provider settings cover ServiceNow-supported providers, such as Now LLM Service and AWS Claude, and ones your organization configures.Source 28 |
| Integrations and ecosystem | CrewAI says Crew Studio can connect to more than 1,000 applications.Source 47 A Marketplace lists integrations, internal tools, and reusable assets.Source 48 | ServiceNow’s community documentation says discovery connectors come from the Store or are custom-built, and lists Databricks, Snowflake, and Hugging Face.Source 20, Source 43 |
Which to choose
Choose CrewAI AMP if
- Your teams build with CrewAI and want one platform to deploy, monitor, and scale crews in production.Source 1, Source 15
- You want people to build crews with or without code, in Crew Studio, from natural language and a visual workflow editor.Source 8, Source 46, Source 49
- You need somewhere to run crews: AMP deploys them to managed infrastructure, and Enterprise can run in your own VPC.Source 1, Source 17
- You want to start free: the Basic plan includes 50 workflow executions a month.Source 17
Choose ServiceNow AI Control Tower if
- You run ServiceNow on a Foundation, Advanced, or Prime tier: each includes AI Control Tower.Source 22
- You want one CMDB-tied inventory of AI agents, models, and MCP servers from ServiceNow and third parties, as ServiceNow describes.Source 2
- You want a kill switch that revokes all active credentials of a managed agent on connected platforms, with an audit trail.Source 18, Source 19
- You want AI compliance content: ServiceNow’s pack covers the EU AI Act, NIST AI RMF, and California and Colorado AI laws.Source 50
Questions buyers ask
Which one builds and runs agents?
Do they support MCP and A2A?
AMP can connect to MCP servers over Streamable HTTP, and A2A server agents on AMP are in preview.Source 10, Source 11 ServiceNow’s community documentation calls AI Gateway AI Control Tower’s runtime enforcement layer for MCP.Source 12 A2A is documented for ServiceNow’s separate AI Agent Studio.Source 41
Can either one work with agents at other companies?
CrewAI agents can delegate to remote A2A agents by URL.Source 39 AI Control Tower’s External Registries API is open to any third-party system that retrieves publishable agents.Source 40 For either product, adding another company’s agents with access that company controls is not publicly documented.
How is each one priced?
CrewAI’s Basic plan is free with 50 workflow executions a month, and Enterprise is custom-priced.Source 17 Contact ServiceNow for AI Control Tower pricing; it is included in the Foundation, Advanced, and Prime tiers.Source 2, Source 22 ServiceNow’s community documentation says usage-based costs may apply.Source 23, Source 24
How we compare
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We re-check every fact at least every 90 days. This page was last checked .
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Sources
55 public sources, each with the date we checked it. Every one opens in a new tab.
Source 1: CrewAI AMP (platform docs introduction) Back:abcdefghijklmno
Source 2: AI Control Tower - ServiceNow (product page) Back:abcdefghijklmnopqrst
Source 4: Traces Back:abc
Source 5: Discovering AI assets through connectors (ServiceNow product documentation, Australia release) Back:abcde
Source 7: Activate evaluation scoring for external AI systems (ServiceNow product documentation, Australia release) Back:ab
Source 12: What's new in AI Gateway v3.4 - September 2026 release (ServiceNow Community, AI Control Tower articles) Back:abcd
Source 13: AI Gateway Implementation Guide (ServiceNow Community, AI Control Tower articles) Back to text
Source 14: AI Agent Studio (ServiceNow product documentation, Australia release) Back:abc
Source 16: Configuring connectors (ServiceNow product documentation, Australia release) Back:abcde
Source 18: AI agent containment using kill switch protocol manually (ServiceNow product documentation, Australia release) Back:abcdef
Source 19: Configure AI agent containment using kill switch protocol manually (ServiceNow product documentation, Australia release) Back:abcd
Source 20: AI Control Tower: What's new in the June 2026 release (ServiceNow Community, AI Control Tower articles) Back:abcde
Source 21: Control enforcement points (ServiceNow product documentation, Australia release) Back:ab
Source 22: ServiceNow product tiers (ServiceNow product documentation, Australia release) Back:abcdef
Source 23: AI Gateway FAQ (ServiceNow Community, AI Control Tower articles) Back:abc
Source 24: AI Control Tower Observability & Monitoring FAQ (ServiceNow Community, AI Control Tower articles) Back:abc
Source 25: CrewAI AMP - The Agent Management Platform Back:ab
Source 27: AI Control Tower (ServiceNow product documentation, Australia release) Back:ab
Source 28: AI model providers (ServiceNow product documentation, Australia release) Back:abcd
Source 36: ServiceNow Launches AI Control Tower, a Centralized Command Center to Govern, Manage, Secure, and Realize Value From Any AI Agent, Model, and Workflow (ServiceNow news release, investor relations PDF) Back to text
Source 37: What's new in AI Control Tower for August & September 2026 (ServiceNow Community, AI Control Tower articles) Back to text
Source 39: Agent-to-Agent (A2A) Protocol (CrewAI framework docs) Back:ab
Source 40: External Registries (ServiceNow product documentation, Australia release) Back:ab
Source 41: Integrating external AI agents (ServiceNow product documentation, Australia release) Back:ab
Source 42: Configure Veza access intelligence in the agent map (ServiceNow product documentation, Australia release) Back to text
Source 43: AI Control Tower Welcome Guide (ServiceNow Community, AI Control Tower articles) Back:abc
Source 44: Customer Support Addendum (ServiceNow legal schedules, Version 12MAR2025) Back to text
Source 45: Activating AI Control Tower (ServiceNow product documentation, Australia release) Back to text
Source 47: Crew Studio: The Automated Agent Builder Back to text
Source 49: CrewAI agent management platform page Back to text
Source 50: AI Risk and Compliance Content Pack (ServiceNow product documentation, Australia release, Governance, Risk, and Compliance) Back to text