An AI-first automation platform designed for teams to streamline workflows and processes.
Activepieces is an AI-first automation platform that helps teams build, deploy, and govern AI agents and workflows with enterprise-grade control, starting with a free tier and predictable flat-rate pricing. It targets IT leaders, operations teams, and business builders who want Zapier-like simplicity with Make-level logic depth, without per-execution cost surprises or vendor lock-in.
Based on our analysis of 870+ AI tools in our directory, Activepieces stands out in the Automation category by combining a visual drag-and-drop flow builder with AI agents, governance tooling, and 689+ native integrations including Gmail, OpenAI, Slack, Notion, and HubSpot. Customers report building AI agents that automatically save thousands of dollars per year per workflow â the platform's own library showcases use cases like an AI Support Agent saving $19.9k/yr, a Sales Lead Scorer saving another $19.9k/yr, and a Deal Closer saving $8.4k/yr. Analytics dashboards track active flows (847 in the reference org), hours saved (12.4k), AI agent tasks (94.2k), and adoption rates by team, with gamified leaderboards and badges designed to drive adoption from day one.
For enterprises, Activepieces layers in SAML 2.0 SSO, SCIM provisioning, advanced role-based access control, audit logs, and granular control over which pieces and connections are available. Deployment is flexible: the managed cloud option is SOC 2 Type II and GDPR compliant with EU and US data regions, while self-hosting via Helm or Docker keeps data fully inside the customer's network for any compliance regime. Compared to per-task platforms like Zapier or Make, Activepieces charges a flat rate with zero cost per execution â users can run millions of tasks without price escalation â which reviewers on G2, Trustpilot, and r/automation consistently cite as the reason they migrate from n8n, Zapier, or Make for heavy production workloads.
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Build intelligent agents that combine LLM reasoning with custom instructions, 689+ integrations, and human approval gates. Templates in the Agent Library include Lead Qualifier, AI Support Agent, Smart Email Agent, and Daily Report Agent â each with documented cost savings ranging from $1.5k/yr to $19.9k/yr per deployed agent.
Unlike Zapier or Make, Activepieces charges a predictable flat rate regardless of how many times flows run. The homepage states '$0 per execution â run millions, pay the same,' which reviewers cite as the main reason they migrate production workloads off metered competitors.
SAML 2.0 SSO (including Google), SCIM provisioning, granular role-based access control with Admin and Builder roles, and full audit logs are bundled into the platform. IT admins can restrict which pieces and connections are available per team, meeting mid-market and enterprise security requirements without third-party add-ons.
The managed cloud is SOC 2 Type II and GDPR compliant with dedicated EU and US data regions. Self-hosting via Helm or Docker keeps all data inside the customer network for any compliance regime, and ships with free dev and staging environments for safe iteration.
A built-in dashboard tracks active flows, hours saved (12.4k in the reference org), AI agent task counts (94.2k), monthly cost savings, and adoption rate broken down by team (Marketing 94%, Sales 71%, Engineering 58%, Operations 42%). Leaderboards and badges reward top builders to drive organic adoption.
$0/mo
Custom flat-rate quote (not publicly listed)
Custom flat-rate quote (not publicly listed)
Custom flat-rate quote (not publicly listed)
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Activepieces has repositioned as an 'AI-first automation platform' with an AI Adoption Stack spanning AI Agents, Control & Governance, and Deployment & Cost. Recent additions highlighted on the site include an expanded Agent Library with pre-built templates (AI Support Agent, Smart Email Agent, Daily Report Agent, Lead Qualifier), gamified adoption leaderboards and badges, and team-level adoption analytics dashboards. The integration catalog has grown to 689+ pieces.
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