Frigade provides an intelligent assistance layer for software-as-a-service platforms, helping users navigate complex features through real-time, interactive guidance. While many digital adoption tools rely on static documentation or manually defined tours that break when the interface changes, Frigade trains its AI by actually interacting with the application. By exploring the product in a staging environment, the assistant learns the specific paths required to complete tasks. This enables it to offer context-aware support in production, physically highlighting UI elements and guiding users through multi-step workflows rather than simply providing text-based summaries of help articles. The platform is divided into two primary offerings: an AI-driven assistant for dynamic help and a set of drop-in React components for traditional onboarding flows. For engineering teams, the implementation is handled via an SDK with flexible deployment options, including self-hosting for those with strict data residency requirements. By shifting the focus from reading docs to understanding the live interface, Frigade reduces the manual effort typically needed to maintain product walkthroughs. It is a practical solution for modern software teams that want to automate user education and reduce support volume without the overhead of constant prompt tuning or manual flow mapping.
Problem: Users often abandon complex SaaS products during initial setup because static checklists or documentation are difficult to follow.
Solution: Frigade's AI learns the product's interface and provides step-by-step interactive guidance, highlighting specific UI elements and explaining actions as the user performs them.
Example: A new user setting up a complex Stripe integration is guided through the settings menu, API key entry, and webhook configuration in real-time.
Problem: Support teams spend significant time answering basic "how-to" questions that are already covered in documentation.
Solution: The assistant acts as a first line of defense, navigating the user to the correct page and performing the action on their behalf while they watch.
Example: When a user asks how to change their billing cycle, the assistant opens the billing tab and highlights the upgrade button instead of sending a link to a help article.
Problem: Product teams struggle to drive adoption of new or advanced features that are buried in sub-menus.
Solution: Teams can trigger in-app nudges based on user behavior, suggesting relevant workflows that the AI can then walk the user through immediately.
Example: If a user frequently exports data manually, a nudge suggests setting up an automated report and offers to guide them through the configuration.
Target audience: Best for: Product Managers, Customer Success Teams, SaaS Engineering Teams, Product Marketing Managers
Pricing: Open Source · Categories: Assistant, Customer Support, Developer Tools
Tags: AI, ai agent, assistant, Customer Support, developer tools
Visit Frigade: AI-powered product assistance for modern software teams