Build, visualize, and refine native workflows using natural language processing (NLP).
Non-developers can easily string together authentication elements without writing a single line of code. They simply input natural language to tell the interface what to generate in the identity sequence. The AI then generates the corresponding configuration and populates a visual representation of the steps.
Users can visualize native flows such as login, sign-up, and MFA. Where errors would previously be buried in code, the Flows AI visualization makes it clear how all steps fit together and brings attention to errors. This also makes it easier to make adjustments in response to new business, compliance, and security needs.
With Flows AI, you don’t need to choose between ease of use and advanced customization. For the most complex tasks, developers can access pro-code options to easily add and modify prehooks, webhooks, and sub-flows within the main flow.
Flows AI is designed to help companies respond to potential security risks in an adaptive manner. For example, if a user logs in from a new device or location, Flows AI can trigger additional identity verification prompts such as a text message code. This context-based approach improves security without slowing down the user experience of end-users who are deemed low-risk.
“Now that Frontegg is in place, we’re able to spend around 90% of our time concentrating on our core technology. This saves us hundreds of thousands of dollars a year.”
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Yes. Flows AI can adjust what a user experiences during authentication based on real-time context like location, device, user role, or past behavior. This means you can prompt for MFA when needed, streamline logins for trusted users, or trigger different paths based on who the user is and what they’ve done.
Your team can configure these decisions visually, without writing rules or calling in engineering. It helps you deliver the right level of security without slowing down the people who just need to get in. Learn more in the Flows AI documentation.
Flows AI gives you full control over how identity workflows behave. You can plug in your own APIs, apply conditional logic based on user roles or metadata, and trigger actions like webhooks or redirects. Each flow is built visually, so non-developers can manage logic without code.
Whether you’re working with complex user onboarding, adaptive authentication, or compliance-driven checks, Flows AI makes it possible to build the flow you need. See how the visual editor works in the Flows AI guide.
Sub-flows let you reuse parts of a flow across multiple user journeys. Instead of rebuilding the same logic over and over, you can create one block, like an MFA check or a webhook call, and drop it into any flow where it’s needed.
This makes your identity logic easier to manage and update. When something changes, you only have to update the sub-flow once. Everything that uses it stays in sync. Learn more about using sub-flows in the documentation.
With Flows AI, you can gradually collect user data instead of asking for everything up front. As users engage with your app, you can prompt them for more info at the right time like when it adds value to them and to you.
The flow adjusts in real time based on what you already know about the user. That means you can skip steps, show custom paths, or ask the right questions when it makes sense. It’s a better experience for users and a smarter way to build trust. See real-life use cases in the Flows AI documentation.
