storywise is an AI-driven requirements engineering platform that helps software teams turn messy briefings into structured epics, personas, and user stories in minutes. The tool features an AI Assistant that drafts acceptance criteria, performs quality assurance checks, and supports multiple AI models, while integrating with tools like Jira and DevOps. It also offers versioning, side-by-side comparisons, and an asset library for reusing requirements across projects.
Funding
Funding not disclosed
Founders
Product
Problem
Requirements engineering is often a time-consuming and error-prone process, with teams struggling to transform unstructured briefings into clear, consistent, and traceable specifications. Manual writing of user stories and acceptance criteria leads to inconsistencies, missed requirements, and poor readability, which can derail software projects and delay delivery.
Solution
storywise provides an AI-driven requirements engineering platform that automates the creation and management of software specifications. The tool's AI Assistant can generate epics, personas, user stories, and acceptance criteria from raw inputs like meeting minutes, PDFs, or Miro boards, while its quality assurance feature automatically checks for contradictions, duplicates, and missing information. Users can choose from multiple AI models, including OpenAI and Anthropic, and customize prompting to match their specific phrasing and testing needs. The platform also supports versioning, side-by-side comparisons of different project versions, and traceability from briefs to epics to stories, ensuring every requirement is accounted for.
Target Audience
Primary users are product owners, requirements engineers, and development teams in software companies, as well as agencies and consultants who need to create structured specifications and quotes for clients. The platform also serves procurement managers and complex project teams seeking traceable, high-quality requirements documentation.
Features
- AI Assistant that generates epics, personas, user stories, and test scenarios from unstructured briefings with a few clicks
- AI-driven quality assurance that scans specifications for contradictions, duplicates, and unclear or missing information
- Choice of AI models from OpenAI, Anthropic, and open-source providers, with custom instruction capabilities for tailored output
- Setup Wizard that imports data from images, Miro boards, Figma projects, emails, PDFs, and text files without prior cleaning
- Versioning and side-by-side comparison of two or more project versions to evaluate feature sets and financial implications
- Smart traceability linking every user story back to its epic and original brief, preventing forgotten requirements
- Asset library for reusing requirements, epics, stories, personas, and dependencies from previous projects
- Integrations with Jira, YouTrack, and Azure DevOps, plus Zapier for notifications and external user collaboration
- Quote generation with customizable templates, exportable as Word or PDF files for stakeholder communication