Sold by: crewAI
Deployed on AWS
CrewAI Enterprise Platform is a fully managed SaaS solution listed in AWS Marketplace that enables rapid creation, deployment, and management of AI driven agents across any infrastructure. With built-in governance, auditability, and real time observability, organizations can accelerate automation adoption, meet compliance requirements, and demonstrate ROI by deploying AI agents in CrewAI.
4.4
Overview
CrewAI Enterprise Platform is a turnkey SaaS solution for designing, deploying, and managing AI agents that automate complex workflows across any environment, private data centers, or hybrid infrastructures. Teams can define agents in human readable YAML or use our visual, low code editor to assemble multi step processes that call REST APIs, invoke serverless functions, run Python code, or interface with popular SaaS systems like Salesforce, ServiceNow, and Slack. With one click GitOps pipelines and a unified CLI or UI, you can test locally, replay executions for debugging, and promote agents through dev, staging, and production in minutes.
Built for the enterprise, CrewAI enforces role based access controls, policy driven approvals, and immutable audit logs for every agent execution, ensuring compliance and security at scale. Real-time dashboards surface throughput, latency, error rates, and estimated costs so you can monitor SLAs, pinpoint bottlenecks, and demonstrate automation ROI. Out of the box connectors, extensible REST and webhook frameworks mean you can integrate CrewAI into existing systems without heavy engineering lift. From customer support and software engineering, CrewAI Enterprise Platform empowers your organization to innovate faster by abstracting away operational complexity.
Highlights
- Rich Integrations Ecosystem. Tap into databases, messaging systems, serverless functions, and SaaS apps with out of the box integrations or custom tools.
- Visual & YAML Based Agent Design. Build AI agents via drag and drop workflows or human readable YAML for maximum flexibility.
- Managed Support. Rely on CrewAI expert services team for onboarding, incident response, and ongoing operational guidance.
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Basic | Includes 100 executions/mo, 2 live crews, 5 seats, self-service. | $99.00 |
Dimensions summary
This listing offers one contract option: the Basic plan. You buy a single package that bundles set usage limits together. It includes 100 workflow executions per month, 2 live crews, and 5 user seats. You set up and manage the platform yourself through self-service. Pricing does not scale by instance size or usage add-ons here. Instead, you get a fixed bundle of capacity under one commitment. If your execution, crew, or seat needs exceed these limits, you would move beyond what this plan covers.
Top-of-mind questions for buyers
An execution is a single run of an agentic workflow. A live crew is a deployed group of AI agents active on the platform. A seat is one user account with access. The Basic plan includes 100 executions per month, 2 live crews, and 5 seats.
The Basic plan sets fixed limits: 100 executions per month, 2 live crews, and 5 seats. Needs beyond these caps fall outside what this plan covers. The platform does not add usage-based charges within this plan. Contact the vendor to discuss capacity beyond these limits.
Self-service means you create your account, build crews, and deploy them yourself. You use the no-code Crew Studio or code to build workflows, then deploy to managed infrastructure and access crews through API endpoints. You set up and manage the platform without guided onboarding.
docs.crewai.com
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Vendor refund policy
No refunds.
Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Nirmal K.
Intuitive Human-Team Agent Design That Makes Prototyping Easy
Reviewed on Aug 11, 2026
Review provided by G2
What do you like best about the product?
CrewAI’s core philosophy is structuring agents like a human team (e.g., a Researcher, a Strategist, and a Writer). This intuitive role/goal/backstory pattern makes it exceptionally easy to conceptualize workflows, prototype rapidly, and produce coherent agent behavior.
What do you dislike about the product?
In complex, multi-step workflows with long runtimes, context and memory management can become fragile. If flows are not carefully architected, agent behavior can drift or hallucinate.
What problems is the product solving and how is that benefiting you?
Compared to heavier frameworks like LangGraph or AutoGen, CrewAI abstracts away much of the complexity of orchestration. You do not need to build the infrastructure from scratch, making it much faster to adopt for standard pipelines.
Amanullah .
Easy and Flexible Framework for AI Agent Workflows.
Reviewed on Aug 11, 2026
Review provided by G2
What do you like best about the product?
I really like how easy CrewAI makes it to create and manage multiple AI agents. Being able to assign different roles and tasks to each agent helps me keep complex workflows organized, and it makes automation feel much more straightforward.
What do you dislike about the product?
The main thing I dislike is that some of the more advanced workflows can take a while to understand and set up. The documentation is helpful overall, but it would be much easier to get started if it included more beginner-friendly examples.
What problems is the product solving and how is that benefiting you?
CrewAI simplifies complex AI workflows by letting different agents take on specific tasks. It saves time when I’m building and testing multi-agent workflows, and it makes automation much easier to manage overall.
LOKESH G.
CrewAI Makes Multi-Agent Workflow Automation Easy
Reviewed on Aug 09, 2026
Review provided by G2
What do you like best about the product?
I like how CrewAI makes it easy to build and manage AI agents that can work together on different tasks. It helps automate workflows and makes complex work much easier to handle overall.
What do you dislike about the product?
The main thing I dislike is that more complex workflows can take a while to set up and debug. It often takes some trial and error to get the agents working exactly the way I want.
What problems is the product solving and how is that benefiting you?
CrewAI helps me automate tasks by letting multiple AI agents work together. It saves me time on repetitive work, makes my workflows easier to manage, and helps me handle more complex tasks more efficiently.
Muhammad O.
CrewAI Simplifies Multi-Agent AI Development
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
What I like most about CrewAI is how easy it makes it to build and orchestrate multi-agent AI workflows without needing a lot of boilerplate code. The visual interface, reusable agents, and built-in integrations make it straightforward to prototype, test, and automate more complex tasks. Overall, it speeds up development while keeping workflows well organized and easy to maintain over time.
What do you dislike about the product?
What I dislike most about CrewAI is the initial learning curve. Some of the more advanced features and integrations take time to fully understand, and clearer, more beginner-friendly documentation would make onboarding much easier.
What problems is the product solving and how is that benefiting you?
The main problem CrewAI solves is coordinating multiple AI agents for complex workflows without needing a lot of custom orchestration code. It helps automate repetitive tasks, improves collaboration between agents, and speeds up development. For my team, that means less manual effort, more organized workflows, and an easier time building and maintaining AI-powered automation solutions.
Rinu L.
CrewAI: Powerful and Flexible Multi-Agent AI Automation Framework
Reviewed on Aug 06, 2026
Review provided by G2
What do you like best about the product?
Easy to build multi-agent AI workflows
Clean and developer-friendly framework
Simple agent, task, and crew orchestration
Integrates well with LLMs and external tools
Flexible and scalable architecture
Improves automation for complex AI tasks
Open-source and easy to customize
simple and developer-friendly framework
Easy to define agents, tasks, and workflows
Active community support
open-source and cost-effective
efficient execution of multi-agent workflows
Clean and developer-friendly framework
Simple agent, task, and crew orchestration
Integrates well with LLMs and external tools
Flexible and scalable architecture
Improves automation for complex AI tasks
Open-source and easy to customize
simple and developer-friendly framework
Easy to define agents, tasks, and workflows
Active community support
open-source and cost-effective
efficient execution of multi-agent workflows
What do you dislike about the product?
Learning curve for advanced workflows
Debugging multi-agent interactions can be difficult.
Recured coding knowledge for customization
Debugging multi-agent interactions can be difficult.
Recured coding knowledge for customization
What problems is the product solving and how is that benefiting you?
Automates complex AI workflows > saves development time
Coordinate multiple AI agents > improves task efficiency
Reduce manual effort through automation
Simplifies integration with LLMs and external tools
Speeds up AI application development
Scales easily for complex business workflows
Coordinate multiple AI agents > improves task efficiency
Reduce manual effort through automation
Simplifies integration with LLMs and external tools
Speeds up AI application development
Scales easily for complex business workflows