Head-to-head · facts checked 13 Sept 2026
CrewAI vs Workato
Workato uniquely has 7 features · CrewAI uniquely has 6 features.
From
Not publicly stated
Free plan
Yes
The verdict
CrewAI or Workato?
Section 01
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
CrewAI
Basic
Free
50 workflow executions/month, visual editor, GitHub integration, AI copilot
Enterprise
Custom
Unlimited executions, dedicated VPC, SSO, RBAC, on-site support, 50 hours dev/month
Workato
Free
Free
50K one-time credits
Pro - 2.5k credits
$75/month
2.5k credits/month
Pro - 3.5k credits
$100/month
3.5k credits/month
Pro - 10k credits
$275/month
10k credits/month
Pro - 30k credits
$780/month
30k credits/month
Pro - 50k credits
$1250/month
50k credits/month
Enterprise
Custom
Custom pricing available
Section 02
Pros and cons
From each tool's full review, written from the same checked facts.
CrewAI
Pros
- Supports both no-code visual editor and code-first Python API, making it accessible to non-developers and engineers alike.
- All visual editor work exports to Python, preventing vendor lock-in and enabling clean handoffs to engineering teams.
- Open-source foundation is active on GitHub, giving developers transparency, community support, and a free entry point.
- Already embedded in 63% of Fortune 500 companies according to the vendor, suggesting strong enterprise credibility.
- Supports multiple LLMs including OpenAI and Anthropic, offering flexibility in how the platform is configured.
- Multi-agent orchestration enables complex task completion that single LLM prompts cannot achieve alone.
- Enterprise control plane layered on top of open-source allows teams to start free and scale up to commercial tier naturally.
Cons
- Not listed on G2 or Capterra yet, making it difficult to find verified third-party user reviews or ratings.
- Trying to serve both no-code and developer audiences simultaneously risks being a poor fit for both if execution falls short.
- No hands-on testing data available from independent reviewers, so real-world performance claims are hard to verify.
- The dual-path approach (visual editor plus code-first API) adds complexity that teams must evaluate carefully before committing.
- Enterprise positioning means it is unlikely to be cost-effective or appropriate for small teams or solo developers.
- Born in 2023, the platform is still very young, and long-term stability and support are unproven.
Workato
Pros
- Combines iPaaS, AI agent orchestration, API management, ETL pipelines, and composable MCP servers into a single governed platform, reducing tool sprawl.
- The recipe builder is low-code and visual, with conditional logic and error handling baked directly into the orchestration engine rather than added as an afterthought.
- Execution logs are retained for 30 to 90 days depending on plan, providing meaningful audit trails for enterprise compliance needs.
- The dual Control Plane and Execution Plane architecture addresses both AI governance and operational execution in one system.
- Positioning is sharper than most competitors, clearly targeting enterprise environments rather than trying to scale up a SMB tool.
- Claims 25,000 customers across 90 countries, suggesting proven scale and broad real-world deployment.
- Replaces three or four separate tools with one governed platform, which resonates with enterprise IT teams dealing with integration sprawl.
Cons
- Pricing is entirely opaque — the pricing page provides no actionable information, making cost evaluation difficult without engaging sales.
- The platform is not aimed at small or mid-market buyers, meaning those comparing it to Zapier are likely to find it over-engineered and overpriced.
- Flies under the radar outside enterprise IT circles, indicating limited community resources and third-party documentation.
- The breadth of features — workflows, AI agents, API management, ETL, MCP servers — creates significant complexity that may overwhelm teams without dedicated integration staff.
- No hands-on testing data is available in this review, meaning feature claims are based on vendor docs and community sources rather than direct validation.
- The platform's ambitious scope means whether it actually delivers on replacing multiple tools remains complicated and unproven for every use case.
Side by side
| Company | ||
| Founded | 2023 | 2013 |
| HQ | San Francisco, USA | Palo Alto, California |
| AI model | Multi-LLM (OpenAI, Anthropic, and others) | Proprietary (AI by Workato) + multi-model routing via AI Gateway |
| User base | 63% of Fortune 500 + large developer community | 12,000+ global customers |
| Platforms | Web, CLI, API | Web |
| Languages | English primarily | 25+ |
| Pricing | ||
| Pricing model | Freemium | Custom |
| Free plan | Yes | Yes |
| Free trial | Yes | No |
| Starting price | Free — Basic | — |
| Enterprise | Custom | Custom pricing |
| Refund policy | — | Workato does not publish a general self-service refund policy, although limited refund provisions appear in its Terms of Service. |
| All plans | Basic — Free Enterprise — Custom | Free — Free Pro - 2.5k credits — $75/month Pro - 3.5k credits — $100/month Pro - 10k credits — $275/month Pro - 30k credits — $780/month Pro - 50k credits — $1250/month Enterprise — Custom |
| Positioning | ||
| Best for | Enterprises and developers building, deploying, and managing multi-agent AI workflows | Teams scaling and operationalizing AI-powered workflows across the enterprise |
| Differentiator | The only platform combining no-code visual builder, code-first API, and a full enterprise control plane (tracing, RBAC, human-in-the-loop, LLM optimization) for multi-agent workflows — used by 63% of the Fortune 500. | Enterprise-grade AI agents and workflow orchestration with 10,000+ app integrations and low-code interface |
| Competitors | LangChain, AutoGen, n8n, Make, Zapier, LlamaIndex | MuleSoft, Boomi, Microsoft Power Automate, Zapier, Tray.io |
| Features | ||
| 10,000+ App & System Integrations | — | ✓ |
| API Management | — | ✓ |
| Enterprise Mcp & AI Agents | — | ✓ |
| Github Integration | ✓ | — |
| Low Code Apps | — | ✓ |
| Pii Redaction | ✓ | — |
| Rbac | ✓ | — |
| Real Time Data & Event Orchestration | — | ✓ |
| SSO | ✓ | — |
| Vpc Deployment | ✓ | — |
| Visual Editor and AI Copilot | ✓ | — |
| Workflow Orchestration | — | ✓ |
| AI Agents | ✓ | ✓ |
| API Webhooks | ✓ | ✓ |
| Conditional Logic | ✓ | ✓ |
| Custom Code | ✓ | ✓ |
| Data Transform | ✓ | ✓ |
| Error Handling | ✓ | ✓ |
| Execution Logs | ✓ | ✓ |
| Human in Loop | ✓ | ✓ |
| Num Integrations | Standard tools, enterprise connectors, MCP server export, UI component export; exact count not stated | 14,000+ applications (1,200+ pre-built connectors included out-of-the-box) |
| Scheduled Runs | ✓ | ✓ |
| Team Features | ✓ | ✓ |
| Trigger Types | Webhook / schedule (cron) / Slack/Teams / API / human-in-loop gates | webhook / schedule / event triggers / API calls / real-time business event triggers |
| Visual Builder | ✓ | ✓ |
| Integrations | ||
| API Access | ✓ | ✓ |
| Google Workspace | — | ✓ |
| Key Integrations | Slack, Microsoft Teams, GitHub, Arize, Galileo, DataDog, Patronus, Okta, Microsoft Entra | Salesforce, SAP, Slack, ServiceNow, Workday |
| Openai Integration | ✓ | ✓ |
| Slack | ✓ | ✓ |
| Webhook Support | ✓ | ✓ |
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