Power Your Enterprise AI Platform
With Cross-App Execution

Give your AI platform the power to execute real-time actions across your customers’ apps. Embed a dedicated automation engine with secure authentication, tenant isolation, and full execution control, built to deliver automation at platform scale.

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Turn Your AI Platform Into an Operational System

Move beyond answers. Let your AI execute real actions across your customers’ tools, running natively inside your product within days.

Power Your Platform Now
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AI Platforms Break at Execution Because Action Is Harder Than Insight

Your AI can reason and generate insights. But executing real-world actions across third-party APIs introduces authentication complexity, rate limits, schema inconsistencies, and multi-tenant runtime challenges that demand heavy custom execution engineering.
Power Your AI Platform Now
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Empower Your AI Platform With Controlled, Scalable Execution

FlowMate provides a secure, scalable automation engine that operates as the execution backbone of your AI platform. It handles authentication, tenant isolation, permission control, and runtime execution management, so you can deliver automation at scale without building and operating your own infrastructure.
Embed the Execution Layer
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Execute Any Endpoint Across Any Public API At Platform Scale
Give your AI platform secure, real-time access to the entire public API of any SaaS platform. Execute any endpoint per user with enforced authentication, permission boundaries, and complete execution control at platform scale.
Automate Every AI Action
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Unlock the Full Power of Your AI Platform

Enable secure, real-time third-party actions your AI can trigger instantly inside your product.

Enable Powerful Actions
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One Universal API Full Execution Control Designed for AI Engineers

Integrate your AI platform through a single, universal API that manages execution, user-level authentication, governance, and observability across your entire customer base. Eliminate the need to build and operate custom orchestration logic and scaling infrastructure.
Build Your AI Execution Layer Faster
Explore the Developer Docs
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From Prompt To Real-World Action At Platform Scale
Let users trigger actions directly from your AI interface. Your AI interprets intent. AI agents act autonomously. The FlowMate Automation Engine turns that intent into secure, real-time execution across any public API.
Turn AI Intent Into Real Actions
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Operationalize Your AI Platform

Enable controlled, real-time third-party actions your AI can trigger instantly across customer environments.

Enable Controlled AI Execution
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Multi-Tenant by Design Isolated Credentials Built for Platform Scale

Operate across thousands of customer environments with strict tenant isolation. Secure token storage, permission boundaries, rate control, and execution monitoring ensure safe and scalable AI-driven automation.
Scale AI Execution With Confidence
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Own the Integration UX
Embedded Authentication
Built Into Your Platform
Let users securely connect and configure integrations directly inside your AI platform. Provide full authentication flows and scoped permissions through a fully embedded, white-label integration center without breaking the user experience.
Deliver Seamless AI Integration UX
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Define Execution Logic Once Deploy Across Tenants Maintain Central Control
Define reusable execution logic once and roll it out across all or selected tenants like a product feature. Enforce guardrails centrally while allowing tenant-specific configuration within controlled boundaries.
Standardize and Scale AI Actions
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Build Reusable Execution at Platform Scale

Standardize AI-driven actions across tenants while keeping full control over permissions, parameters, and behavior.

Scale AI Actions
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Get Every Integration Your AI Platform Needs
No Backlog, No Limits
Offer complete SaaS coverage with prebuilt connectors and extensible API support. If a system exposes an API, your AI can securely interact with it, without custom backend development each time.
Deliver Every Integration Your Customers Expect
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Frequently asked questions
What is the FlowMate Automation Engine for AI platforms?

The FlowMate Automation Engine enables AI platforms to execute real-time actions across third-party SaaS applications through a single API. It handles authentication, user-level credential management, schema-level data mapping, and multi-tenant execution. Instead of building custom infrastructure for retries, throttling, and logging, AI platforms connect to FlowMate and gain a governed execution layer. This allows AI systems to move from generating suggestions to performing reliable, operational actions.

How does FlowMate differ from a connector library or integration marketplace?

FlowMate is not just a collection of prebuilt connectors. It provides access to the full public API surface of supported SaaS platforms, including custom endpoints and webhooks. AI platforms can execute any endpoint through a unified execution runtime, apply schema-level data mapping, and enforce guardrails per tenant. This makes FlowMate suitable for dynamic Agent Flows and advanced automation scenarios beyond fixed trigger-action models.

Can AI agents trigger actions directly through FlowMate?

Yes. AI agents can trigger Dynamic Events and Automated Flows through the FlowMate API. An agent interprets user intent, generates structured payload data, and sends it to FlowMate for execution. FlowMate then applies authentication, permission checks, and mapping rules before executing the action in the target SaaS system. This enables secure, real-world execution without exposing credentials or risking cross-tenant access.

How does FlowMate handle multi-tenant execution and security?

FlowMate is multi-tenant by design. Each execution runs in an isolated tenant context with user-level credential storage and scoped permissions. There is no cross-tenant data sharing, and authentication tokens are securely managed within the Automation OS. Governance and execution controls ensure that actions are performed only within authorized boundaries for each customer environment.

What role does schema-level data mapping play in AI execution?

AI-generated payloads rarely match the exact schema expected by third-party APIs. FlowMate provides schema-level data mapping to transform, validate, and structure payloads before execution. This allows AI platforms to define execution logic once and apply controlled transformations across tenants. Data mapping is especially important for Agent Flows and webhook-based integrations where payload flexibility is required.

Do we need MCP to integrate AI platforms with FlowMate?

No. FlowMate is API-first and integrates directly through its REST API and webhook endpoints. While some AI systems use MCP to expose data to language models, execution in FlowMate does not require MCP. AI platforms connect via the FlowMate API to trigger Dynamic Events or Automated Flows and receive execution feedback. MCP can be an additional protocol layer, but it is not required for operational automation.

Can execution logic be reused across customers?

Yes. FlowMate allows AI platforms to define reusable execution logic once and deploy it across all or selected tenants. This includes parameterized inputs, guardrails, and schema-level mapping rules. Customers can configure certain aspects within controlled boundaries, while the AI platform maintains centralized governance. This industrializes automation and reduces repetitive engineering work.

How does FlowMate support embedded authentication and integration UX?

FlowMate provides embedded authentication and configuration capabilities that can be integrated directly into an AI platform’s UI. Users can connect, authorize, and configure integrations without leaving the product. The integration center is fully white-label and supports multiple authentication standards. This ensures a seamless experience while maintaining secure credential handling inside the Automation OS.

How does FlowMate manage throttling, retries, and runtime reliability?

The Automation Engine includes built-in retry logic, rate control, and concurrency management to handle real-world API constraints. If a third-party API enforces rate limits or returns temporary errors, FlowMate applies controlled retry and throttling strategies. Execution logs and status information are available via the API for monitoring and observability. This reduces operational risk and removes the need for AI platforms to build their own execution infrastructure.