Support
The site surfaces product support and sales contact routes plus demo booking, with separate paths for teams starting out, scaling to production or managing agents at scale.
Learn moreCrewAI
Build, run and govern multi-agent crews on one enterprise platform
Intermediate API
What is CrewAI?
CrewAI is an AI project builder tool that builds run and govern multi-agent crews on one enterprise platform. CrewAI is an enterprise platform for building, running and governing multi-agent systems, pairing a no-code visual builder and Python API with tracing, access control, audit trails and human approval gates.
CrewAI is a build and runtime platform for multi-agent systems, aimed at companies that want automation beyond single-prompt assistants. Its positioning is deliberately split: business teams get a no-code visual editor and prompt-style builder, while engineers keep a code-first API and deterministic workflow control. The stated goal is to clear the enterprise agent backlog while letting platform teams keep central governance over everything that gets shipped. The product is organised into four stages. Discovery scans tickets, chats, apps and workflows to rank automation opportunities by effort, value and readiness, drawing on patterns from a large body of prior agent runs. Build covers the canvas editor, which can export to Python, plus role-based agents that split orchestration into discrete jobs. Govern places a control plane in the execution path of every workflow, with tracing of LLM calls, tool calls and memory reads, full cost accounting, role-based access control, audit trails and human approval gates. Optimize feeds production runs back in as training data and supports multi-model testing plus evaluation through external tools. In practice this suits operations, support and marketing teams with repetitive long-horizon work, and the engineering groups supporting them. Published customer examples include lead enrichment, curriculum generation, support ticket handling and voice agent QA. Compared with lighter agent builders, CrewAI leans hard toward governance and observability, which is the differentiator for regulated or large organisations. Buyers should note that the homepage gives no pricing figures and no named integration catalogue, so commercial details need to come from a sales conversation. Teams that only need a single chatbot will find the platform heavier than necessary. Teams that already have pilots running and now need oversight, cost visibility and model flexibility are the intended audience.
How do you use CrewAI?
1Create an account and open the workspace
Sign up for CrewAI, then sign in to the web app where crews, flows and runtime settings live. This is the same workspace used for building and monitoring agents.2Run Discovery to shortlist automations
Point Discovery at tickets, chats, apps and workflows to get a ranked list of automation candidates scored on effort, value and readiness. Refine the suggestions interactively before committing.3Build a crew in the visual editor
Assemble agents with defined roles and tasks on the canvas, or start from a prompt and let the builder scaffold the workflow. Export to Python when the logic needs custom control.4Set up governance and approval gates
Configure tracing, cost accounting, role-based access and human-in-the-loop checkpoints, and add runtime hooks for PII redaction or policy checks on LLM and tool calls.5Evaluate and optimise the workflow
Use production runs as training data, test alternative models for each workflow, and connect evaluation tooling to track accuracy before scaling the crew.6Talk to sales for scaling and procurement
Teams moving from pilot to production or managing agent sprawl can book a meeting to discuss the enterprise setup, deployment and commercial terms.
Pros and cons
Pros
- Combines a no-code canvas with an exportable Python API, so business and engineering teams can work on the same agentsAI
- Discovery ranks automation opportunities by effort, value and readiness before any build work startsAI
- Control plane traces every LLM and tool call with cost accounting, audit trails and approval gatesAI
- Production runs feed back into training, with multi-model testing for swapping LLMs per workflowAI
- Human-in-the-loop and runtime hooks allow PII redaction and policy checks during executionAI
Cons
- No published pricing, seat tiers or usage limits on the homepage, so budgeting requires a sales callAI
- The homepage lists no named integrations or model providers, leaving technical fit unverified until deeper due diligenceAI
- Governance features such as RBAC, audit and IAM are enterprise-oriented and add setup overhead for small teamsAI
- Success stories are vendor-selected enterprise logos, with little detail on failed pilots or edge casesAI
- Evaluation is handled through third-party partners, so quality measurement depends on extra toolingAI
How much does CrewAI cost?
Integrations
The homepage names evaluation partners Arize, Galileo, DataDog and Patronus. No other integrations or model providers are listed in the source material.
Features
Discovery ranks automation opportunities from existing tickets and workflows. Build offers a no-code visual editor exportable to Python, a code-first API, role-based agents and deterministic workflows. Govern adds real-time tracing, cost accounting, RBAC, immutable audit trails, Enterprise IAM, approval gates and PII redaction hooks. Optimize covers automated and human-guided training, multi-LLM testing and evaluation via Arize, Galileo, DataDog and Patronus.
Frequently asked questions about CrewAI
Does CrewAI have an API?
Yes, CrewAI offers an API.How do you use CrewAI?
The walkthrough on this page covers 6 steps: 1. Create an account and open the workspace 2. Run Discovery to shortlist automations 3. Build a crew in the visual editor 4. Set up governance and approval gates 5. Evaluate and optimise the workflow 6. Talk to sales for scaling and procurement.What platforms does CrewAI support?
CrewAI is available on Web App.What does CrewAI integrate with?
The homepage names evaluation partners Arize, Galileo, DataDog and Patronus. No other integrations or model providers are listed in the source material.What are the limitations of CrewAI?
No published pricing, seat tiers or usage limits on the homepage, so budgeting requires a sales call. The homepage lists no named integrations or model providers, leaving technical fit unverified until deeper due diligence. Governance features such as RBAC, audit and IAM are enterprise-oriented and add setup overhead for small teams.
Status
StatusActive
Views0
Outbound clicks0
Added10/21/2026
Platforms
Web App
Pricing
FreemiumPaid
