AI agents and workflows, in one product
Design the work, run it, and inspect what happened. Credentials and results stay in the organization.
About us
ActionFlows is an AI platform for building ActionFlows and agents without assembling the stack yourself. Connect models, integrations, and MCP servers, then run the work that used to live in chat windows, spreadsheets, and handoffs.
Teams use the product to design ActionFlows, put agents on them, and keep credentials, runs, and results in one place. Individuals use it to automate the same jobs they would otherwise repeat by hand.
We are building this so advanced AI is not limited to research labs or large engineering organizations. Whether you are exploring a first agent or running production automations, the product should stay understandable, controllable, and useful.
Our vision
People should spend time on judgment, taste, and the work that needs a human, not on copying data between tools or re-running the same prompt every morning.
Our vision is that agents and ActionFlows sit next to that work. They watch the routine, call the right integrations, and hand back something you can inspect. Automation is not a hidden system that replaces the team. It is an execution layer you can see, pause, and improve.
ActionFlows exists to close the gap between what models can do in a demo and what a company can run every day: measurable runs, clear ownership, and results you can trust.
Our values
These are the standards we use to decide what to build and how we work with you.
Innovation
We keep pushing what you can do with agents and ActionFlows: new integrations, better runs, clearer templates, without making the product harder to hold.
Accessibility
Useful automation should not require a research team. The UI, templates, and language should work for operators, founders, and engineers alike.
Security
Credentials, runs, and customer data are treated as production systems: minimum access, access control, and no casual sharing of secrets.
Customer success
A feature is not done when it ships. We measure success by whether you can launch, debug, and trust the automation you came to build.
Community
Users should be able to share ActionFlows, templates, and hard-won practice. We learn in public and make it easier for the next person to start.
Start building AI workflows
Create a free account, open a template or a blank canvas, and run your first ActionFlow.
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New nodes, agents, and product notes. We send mail only when we have something worth opening.