Activepieces

Overview

Activepieces is an AI-first automation platform designed for teams of all technical levels. It enables users to create, deploy, and manage automated workflows that connect their favorite applications and data sources. Unlike traditional automation tools, Activepieces places AI at the core of the workflow engine, allowing users to incorporate large language models (LLMs), retrieval-augmented generation (RAG), and other AI capabilities directly into their pipelines. The platform offers both a cloud-hosted service and a self-hosted edition, giving organizations full control over their data and infrastructure.

With a visual workflow builder, users can design end-to-end automations without writing boilerplate code. Activepieces supports seamless integration with a wide range of apps and services, enabling event-driven triggers and actions across disparate systems. The AI-first approach means workflows can leverage reasoning, classification, summarization, and generative tasks, making it possible to automate not only deterministic processes but also cognitive operations. The platform also includes a scalable credit-based usage system, transparent pricing tiers, and an intuitive interface that abstracts away the complexity of API orchestration.

Activepieces is built for every team — from operations and marketing to engineering and data teams. It empowers non-developers to build reliable automations while offering the extensibility developers need through custom code and self-hosting options. Organizations can compare it with tools like n8n, and the platform provides honest guidance on where it excels and where it may not be the best fit. The self-hosted edition ensures data sovereignty, while the cloud edition delivers managed convenience. Overall, Activepieces helps teams reduce manual work, accelerate workflow delivery, and operationalize AI in a practical, maintainable way.

Core capabilities

Visual Workflow Builder

Design end-to-end automations with a drag-and-drop canvas that requires no coding.

AI-First Automations

Integrate LLMs, RAG, and other AI models directly into workflow steps to handle unstructured data and complex cognitive tasks.

App Integrations

Connect a wide range of tools and services via pre-built triggers and actions, streamlining data exchange across systems.

Cloud & Self-Hosted Deployment

Choose between a managed cloud service for convenience or a self-hosted edition for full data control and compliance.

Event-Driven Triggers

Automate processes in response to events from third-party applications, schedules, or webhooks.

Error Handling & Logging

Built-in execution history and error monitoring help teams troubleshoot and maintain workflow reliability.

Scalable Credit System

Usage-based credits with transparent pricing tiers allow teams to manage costs effectively as automation scales.

Developer Extensibility

Custom code steps and API access offer deeper customization beyond the visual building blocks, enabling advanced logic and integrations.

Use cases

Automating lead capture and enrichment from multiple sources into a CRM

Building AI-powered content pipelines that summarize documents and generate drafts

Syncing records between SaaS applications and internal databases

Monitoring data changes and triggering AI-based classification or alerts

Connecting support tickets to knowledge bases and auto-tagging with LLMs

Orchestrating multi-step onboarding workflows that involve approvals and notifications

Creating self-healing integrations that detect and retry failed API calls automatically