Which AI agent builder platform fits an enterprise team?

CrewAI publishes a free Basic plan with 50 workflow executions per month and a custom-priced Enterprise plan.

Dify publishes free Sandbox and Community options, paid Cloud workspace plans, and custom-priced Enterprise self-hosting.

Amazon publishes Bedrock usage pricing and related model and service charges.

Salesforce publishes Agentforce packages and usage pricing.

CrewAI documents deployment on CrewAI Cloud, a customer VPC, or customer infrastructure, depending on plan.

Dify documents managed Cloud, free self-hosted Community, and Enterprise private-infrastructure deployment options.

Amazon Bedrock Agents is now named Amazon Bedrock Agents Classic and is not open to new customers; existing customers can continue using it, while AWS directs new customers toward Amazon Bedrock AgentCore. Existing deployments use version aliases and application API calls.

Agentforce agents are built and activated in eligible Salesforce organizations and can be deployed through configured connections to Salesforce experiences, mobile, Slack, messaging, and other supported channels. Editions and add-on licenses vary by agent type.

CrewAI provides agent, crew, and flow primitives for multi-agent orchestration.

Dify provides documented tools for building agent applications with knowledge and tools.

Bedrock Agents combine models, action groups, knowledge bases, and orchestration instructions.

Agentforce provides documented agent building, actions, orchestration, and Salesforce data grounding.

CrewAI documents Enterprise team management for inviting teammates, configuring role-based access control, and controlling access to production automations.

Dify Enterprise documents multi-tenant isolation with tenant-level quotas, billing, and access policies, plus deployment inside a customer VPC or air-gapped environment and bring-your-own-key encryption. Exact identity, audit, and license controls still require confirmation for the selected edition.

Amazon Bedrock Agents supports IAM service roles and scoped permissions for models, knowledge bases, guardrails, S3, and Lambda action groups.

Agentforce respects Salesforce licenses, permission sets, field-level security, and sharing settings; access to standard and custom actions additionally depends on the referenced Salesforce products, classes, flows, templates, and configured permissions.

CrewAI's current platform terms grant CrewAI a limited license to use Customer Data to provide the platform, improve and develop products and services—including training or developing models or algorithms—and create aggregated or anonymized data. Buyers should reconcile this contractual language with any negotiated enterprise data terms before using sensitive workloads.

Dify states that it does not use AI interaction data for model training. With customer-supplied model keys, data goes to the selected provider under that provider's terms; with Dify-managed providers, subprocessors are contractually prohibited from training on the data. Retention continues only as needed for service, security, legal, and recordkeeping purposes before deletion or anonymization.

AWS documents default encryption of Bedrock agent control-plane and session data with AWS-owned keys, with an option to use customer-managed symmetric KMS keys; KMS usage and customer configuration remain subject to AWS shared-responsibility and pricing terms.

Salesforce documents Agentforce integration with the Einstein Trust Layer, including a zero-data-retention policy for third-party LLMs and controls intended to keep customer data from being used to train third-party models; organization-specific processing terms still require procurement review.

CrewAI documents Enterprise triggers and flows for Gmail, Drive, Outlook, Teams, OneDrive, HubSpot, Slack, and Salesforce, plus integration tooling for existing CrewAI automations and Amazon Bedrock Agents.

Dify documents data-source plugin types for web crawlers, online documents, and online drives, with examples including Notion, Confluence, GitHub, OneDrive, Google Drive, Box, AWS S3, and Tencent COS; individual connectors require their own authentication and configuration.

Amazon Bedrock Agents Classic orchestrates foundation models, action-group APIs, knowledge bases, organizational data sources, applications, and user conversations; it is available only to existing customers under the documented maintenance-mode boundary.

MuleSoft connects Agentforce with third-party systems through documented APIs and connectors.