Scouti is a user feedback platform that embeds an artificial intelligence agent, referred to as an AI Scout, directly into a software product. The Scout conducts short, natural conversations with users through either an in-product widget or a dedicated chat page, using voice or text. Each conversation is automatically analyzed, summarized, tagged, and prioritized into structured, searchable feedback displayed in a central dashboard. The tool is designed to replace traditional feedback forms by capturing contextual insights at the moment they occur. The platform operates with a two-team model: a Scout team that initiates and runs conversations based on predefined topics, timing, and placement, and an Analyst team that processes the resulting data into actionable signals. Users can brief the Scout team on what to discuss, when to engage, and where in the product to appear. The Analyst team then reports summaries, tags, and priorities without manual intervention. Setup requires a one-line code integration; after that, questions and targeting rules can be added, modified, or retired from the dashboard without redeploying the application. Key capabilities include brand customization through theme colors and avatar swaps to match the product’s visual identity, multilingual support for collecting feedback globally with translated reading, and a pricing model that charges based on signal rather than noise, making short conversations inexpensive. The system is designed to be proactive but non-intrusive, using smart timing and configurable limits. Typical use cases include understanding user identity and product fit, testing prototypes or ideas, diagnosing churn reasons, capturing immediate reactions to errors or broken flows, gathering feedback on newly shipped features, and prompting happy users to leave reviews on platforms like Product Hunt or the App Store. The entire workflow, from conversation to dashboard insight, is intended to be completed within minutes of initial setup.