AISYS (by Auditeste) is an AI-driven documentation assistant that plugs directly into Jira and Azure DevOps to turn conversations into structured delivery artifacts: epics, user stories, acceptance criteria, test cases, and test scenarios. The core idea is “meeting-to-backlog” automation: you capture a discussion, transcribe it, and AISYS maps the intent into work items and QA documentation so teams spend less time rewriting the same context across tools. https://auditeste.com/aisys/en
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In the interview, the focus is on practical QA and DevOps workflow friction: requirements drift, missing traceability, and the rework that happens when documentation lags behind implementation. AISYS is positioned as a natural-language interface, so PMs, QA engineers, and developers can generate or update artifacts without needing strict templates or tool-specific syntax, while still landing everything in the right Jira issue types or Azure DevOps work items today.
Commercially, they mention a subscription model aimed at small teams first: around €60/month in Europe for a five-user team, with tiering for larger groups. They also say it launched in Brazil recently and is now being introduced to European users, with Auditeste operating across Brazil and maintaining presence in Lisbon and Florida, and this segment was filmed at Web Summit Lisbon 2025 in a booth setting for quick product context.
If you already run agile ceremonies (standups, refinement, retro) and you rely on Jira or Azure DevOps as the system of record, AISYS is essentially trying to compress the gap between spoken intent and auditable artifacts: requirements, tests, and technical notes that stay aligned with the backlog. The value proposition isn’t “more text”, but tighter linkage between decisions, implementation, and QA evidence, with less manual copy/paste and fewer lost details in chat threads or slide decks, which is what many teams are fighting with here.
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