NY, UNITED STATES, January 30, 2026 /EINPresswire.com/ — Aqua cloud announced an AI Copilot feature that takes unstructured requirements and automatically generates multiple user stories, splits complex specs, and converts between formats.
Software teams can now upload PDFs, screenshots, voice recordings, or paste text. The AI processes whatever gets thrown at it and outputs structured requirements with dependencies already mapped.
From chaos to 100% clarity in seconds
Most requirements don’t start clean. They arrive as rough ideas scribbled during meetings, buried in 40-page specification documents, or delivered as rambling voice messages from stakeholders.
Requirements splitting used to mean opening five browser tabs, copying text between documents, manually creating dependency links, and hoping nothing got missed. The AI Copilot handles this differently. Teams feed it whatever input exists: meeting notes, technical specifications, voice recordings. The system reads the context and generates multiple structured user stories or Behaviour-Driven-Development scenarios.
Automatic dependency tracking connects everything. Split one complex requirement into smaller pieces, and the platform maps the relationships. Parent epics link to child stories. Nothing gets orphaned.
Product managers upload meeting notes as PDFs. Developers describe features through voice prompts. Business analysts paste chunks from legacy documents. Each generated requirement comes out structured and ready to use.
How Splitting Actually Works
Product managers upload meeting notes as PDFs. Developers describe features through voice prompts. Business analysts paste requirements from old spec docs.
The AI reads it. Understands context. Generates multiple user stories or BDDs that actually work. Each one comes out structured. Each one connects to related requirements when needed.
Got a massive epic? Requirements splitting breaks it into manageable chunks. The AI finds logical break points and creates focused requirements your team can work with.
Need traditional requirements as user stories? Requirements conversion handles it instantly. Same content, different format, zero rewriting.
Context matters for consistency. The AI pulls in existing requirements from a project before generating new ones. Teams writing detailed Given-When-Then scenarios get that style. Teams preferring lightweight user stories with three acceptance criteria get that format. The platform adapts instead of forcing teams into a template.
Better requirements mean better testing
Bad requirements create bad tests. A vague requirement like “improve search performance” gives QA nothing to work with. What’s the current performance? What’s the target? Which search functionality?
QA teams end up guessing. They write test cases based on assumptions that might be completely wrong. Bugs slip through because nobody defined success criteria.
Ambiguous acceptance criteria waste time. QA schedules clarification meetings. Product managers explain what they meant. Requirements get updated. Test cases get rewritten. The team loses days just figuring out what to validate.
Clear requirements eliminate this cycle. A well-written user story spells out exactly what behaviour to verify. The gap between requirements and testing disappears.
About aqua cloud
aqua cloud is an AI-native test management platform built for teams who want to ship better software without the usual QA headaches. The platform combines test case management, requirements tracking, defect management, and AI-powered automation in one system.
The company focuses on making QA less painful. aqua cloud adapts to how teams work instead of forcing rigid processes. The AI Copilot extends that by handling tedious requirement management so you can focus on building and testing.
Stefan Gogoll
aqua cloud
welcome@aqua-cloud.io
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