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.
4.6
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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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 |
Vendor refund policy
No refunds.
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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
Professional Training & Coaching
Crewai Makes Agentic Development Fast with Powerful Flows and Easy Deploy
Reviewed on Jul 31, 2026
Review provided by G2
What do you like best about the product?
CrewAI has made agentic development straightforward, especially with the dashboard interface that categorizes features into Build, Operate, and Manage sections. After onboarding to the platform, within 5 minutes I can create a custom AI agent.
Beyond just building, the AI-assisted Crew Studio recently added Flow, which is powerful for creating automated workflows. A lot of the value comes from integrating MCP servers, which connect with many popular tools and platforms. It also has built-in deploy and run options that improve performance by removing most of the hosting and DevOps tasks.
Beyond just building, the AI-assisted Crew Studio recently added Flow, which is powerful for creating automated workflows. A lot of the value comes from integrating MCP servers, which connect with many popular tools and platforms. It also has built-in deploy and run options that improve performance by removing most of the hosting and DevOps tasks.
What do you dislike about the product?
The free plan is quite restrictive. With only 50 runs per month, you’ll likely hit the quota quickly. Beyond that, if you’re a hardcore Python developer looking for a highly customized automated agentic ecosystem and enterprise-level evaluation systems, you may run into some limitations.
What problems is the product solving and how is that benefiting you?
Creating reusable AI agents with defined roles, goals, backstory, skills, and tools helps a lot when it comes to improving efficiency in daily work. We can also connect external agents through its A2A protocol, which is a game changer. The skill repository is helpful as well, since it can be used across the department and for specialized agents.
From its open source crew library, we can quickly import and use ready-made templates. Apart from building agents, it’s also good for monitoring agents, LLM models, API costs, and overall usage.
From its open source crew library, we can quickly import and use ready-made templates. Apart from building agents, it’s also good for monitoring agents, LLM models, API costs, and overall usage.
Muhammed A.
CrewAI Makes Multi-Agent Workflow Design Feel Natural and Scalable
Reviewed on Jul 30, 2026
Review provided by G2
What do you like best about the product?
CrewAI makes it easy to design and coordinate multiple AI agents working together on complex tasks. Creating agent roles, defining objectives, and organizing workflows feels natural, allowing projects to scale without becoming difficult to manage. The Python-first approach and compatibility with popular LLM providers also make development faster, while the framework remains flexible enough to support a wide range of AI automation use cases.
What do you dislike about the product?
Managing complex multi-agent workflows can become challenging as projects grow in size. Debugging interactions between multiple agents and tracing the source of unexpected behavior often requires extra effort, especially in more advanced use cases. While the framework is flexible, understanding the best way to structure crews, tasks, and agent communication involves a learning curve for teams that are new to multi-agent development.
What problems is the product solving and how is that benefiting you?
CrewAI solves the challenge of coordinating multiple AI agents to handle tasks that would otherwise require complex custom orchestration. Instead of managing every step manually, I was able to define specialized agents with clear responsibilities and let them collaborate to complete multi-step workflows. This reduced development time, improved workflow organization, and made it easier to build AI automations that were more scalable and easier to maintain as project requirements evolved.
Rafael A.
Flexible orchestration of multiple AI agents for structured, efficient workflows
Reviewed on Jul 25, 2026
Review provided by G2
What do you like best about the product?
The tool makes it possible to orchestrate multiple AI agents for different tasks, thereby automating complex workflows in a more structured way. I find the flexible adaptability, the clear distribution of tasks between the agents, and the ability to represent individual processes more specifically and efficiently particularly helpful.
What do you dislike about the product?
The setup can be somewhat complex at the beginning and requires technical understanding, especially if you want to create your own agent workflows. For more demanding tasks, debugging as well as controlling and tracing the results can be quite labor-intensive, because the AI agents do not always act predictably. The documentation and onboarding could also be made clearer and simpler in some areas.
What problems is the product solving and how is that benefiting you?
CrewAI solves the problem that complex tasks with many individual steps often still need to be coordinated manually. I can deploy various AI agents for different tasks and automate entire workflows. This makes the processes significantly more structured, saves me time on recurring activities, and allows me to implement even more complex projects more efficiently overall.
Investment Banking
Advanced Agent-Building Platform with Powerful Multi-Agent Workflows
Reviewed on Jul 15, 2026
Review provided by G2
What do you like best about the product?
advanced platform to build agents, at the frontier. love ability to have multiple agents on my tasks
What do you dislike about the product?
very technical product, not a smooth interface
What problems is the product solving and how is that benefiting you?
orchestration of multiple agents
Karthick N.
CrewAI Makes Building Collaborative AI Agents Fast and Simple
Reviewed on Jul 09, 2026
Review provided by G2
What do you like best about the product?
What I like best about CrewAI is that it makes it easy to build AI agents that can work together as a team. It has a simple structure, is easy to learn, and helps automate tasks with less coding. It also saves time and makes complex workflows easier to manage.
What do you dislike about the product?
One thing I dislike about CrewAI is that the documentation can be confusing for beginners. Sometimes it takes time to understand how to set up complex workflows, and debugging errors can be difficult.
What problems is the product solving and how is that benefiting you?
CrewAI helps automate repetitive tasks by allowing multiple AI agents to work together. This saves me time, reduces manual work, and makes it easier to complete complex tasks more efficiently.