Requra.AI

AI-Powered Requirements Engineering Platform

Requra.AI transforms meetings, documents, transcripts, and stakeholder discussions into structured software requirements, agile user stories, and export-ready backlogs using advanced AI workflows.

Built for Business Analysts, Product Managers, Agile Teams, and Software Companies to streamline the requirements engineering lifecycle.

---

✨ Features

🤖 AI-Powered Requirement Extraction

Extract requirements from:

• PDF files
• DOCX documents
• Meeting transcripts
• Audio recordings
• Live meetings (MVP)

The platform automatically identifies:

• Actors
• Goals
• Business needs
• Functional Requirements
• Non-Functional Requirements
• Business Rules

---

📋 Agile User Story Generation

Automatically generates standardized user stories:

As a [User],
I want [Goal],
So that [Benefit]

---

✅ Acceptance Criteria Generation

Generate:

• Acceptance Criteria
• Definition of Done (DoD)
• Suggested validations for each requirement

---

🧠 Executive Summaries

AI-generated summaries that include:

• Key project decisions
• Requirement insights
• Missing information
• Pending questions
• Potential ambiguities

---

👥 Stakeholder Collaboration

• Invite stakeholders via email or shareable links

• Permission-based access:

  • Viewer
  • Commenter

• Requirement discussions & feedback

• Comment tracking workflow

---

📊 Interactive Dashboard

Review and edit:

• User stories
• Requirements
• Acceptance criteria
• Tags & categories
• Requirement classifications

---

📤 Export Ready for Jira & Azure DevOps

Export outputs as:

• Excel (.xlsx)
• CSV (.csv)

Structured specifically for:

• Jira imports
• Azure DevOps workflows

---

🎯 Problem Requra.AI Solves

Requirement gathering is often:

• Manual
• Time-consuming
• Fragmented
• Hard to track
• Error-prone

Teams lose valuable project information inside:

• Meetings
• PDFs
• Voice notes
• Emails
• Stakeholder discussions

Requra.AI centralizes and transforms all project inputs into structured engineering outputs ready for development teams.

---

🏗️ System Architecture

Frontend

The frontend follows a scalable feature-based architecture using React and TypeScript.

src/
├── assets/
├── components/
│   └── ui/
├── features/
│   ├── auth/
│   ├── projects/
│   ├── requirements/
│   ├── stakeholders/
│   └── exports/
├── hooks/
├── layouts/
├── routes/
├── services/
├── store/
├── types/
└── utils/

Frontend Stack

• React.js
• TypeScript
• Tailwind CSS
• Framer Motion
• GSAP
• React Query
• React Router

---

Backend

Backend services are built using:

• ASP.NET Core (.NET)

The backend is responsible for:

• Authentication & authorization
• Project management
• File handling
• Export generation
• Collaboration workflows
• Notifications
• API orchestration

---

AI Engine

The AI system is heavily powered by:

• LangGraph
• FastAPI
• LLM APIs
• NLP Pipelines
• Speech-to-Text Processing

The AI architecture is designed to be modular, scalable, and extensible.

---

🧠 AI Pipeline Flow

Requra.AI uses a graph-based AI workflow powered by LangGraph.

Pipeline Nodes

__start__

ingest

transcribe

extract

classify

generate

summarize

format

__end__

---

Main Sequential Flow

__start__ ➔ ingest

transcribe ➔ extract

extract ➔ classify

classify ➔ generate

generate ➔ summarize

summarize ➔ format

format ➔ __end__

---

Conditional / Alternative Flows

Depending on the input type and workflow requirements, the pipeline supports dynamic routing:

ingest ➔ transcribe

ingest ➔ extract

ingest ➔ format

This allows the AI engine to intelligently skip unnecessary stages for optimized processing.

---

⚙️ Core Functionalities

📂 Project Management

• Create and manage projects
• Workspace organization
• Role-based access control

---

📥 Input Ingestion

Supports:

• PDFs
• DOCX
• Text transcripts
• Audio files
• Live meeting sessions (MVP)

---

🧠 Requirement Engineering

Generate:

• Functional Requirements
• Non-Functional Requirements
• Business Rules
• User Stories
• Acceptance Criteria

---

👥 Stakeholder Workflow

• Invite stakeholders
• Review generated outputs
• Add comments & feedback
• Track feedback status

---

📤 Export Layer

Export requirements directly into:

• Excel
• CSV
• Jira-ready structures

---

🔒 Security & Privacy

Requra.AI includes:

• Authentication & Authorization
• Role-Based Access Control (RBAC)
• Secure document storage
• Permission-based sharing
• Tokenized project links
• Protected stakeholder access

---

📈 Scalability & Maintainability

The system is designed for:

• Modular AI workflows
• High scalability
• Multi-project support
• Concurrent collaboration
• Cross-platform compatibility
• Future AI feature expansion

---

🚀 Future Roadmap

Phase 2+

• Conflict & ambiguity detection
• Requirement traceability mapping
• Direct Jira integration
• Real-time AI meeting analysis
• AI-generated wireframes
• Arabic language support
• Smart follow-up question generation

---

🧪 Example Workflow

1. Create Project

Business Analyst creates a new workspace.

---

2. Upload Inputs

Upload:

• PDFs
• DOCX files
• Meeting transcripts
• Audio files

---

3. AI Processing

Requra.AI extracts:

• Requirements
• User stories
• Acceptance criteria
• Business rules

---

4. Review & Edit

The BA/PM reviews generated outputs inside the dashboard.

---

5. Stakeholder Feedback

Stakeholders can:

• Review outputs
• Add comments
• Suggest changes

---

6. Finalize & Export

Export finalized requirements directly into Jira-ready formats.

---

🌍 Vision

“From conversations to clear requirements — instantly.”

Requra.AI aims to modernize requirements engineering using AI-first workflows and collaborative stakeholder experiences.

---

👨‍💻 Team

Built with passion by the Requra.AI team.

---

📄 License

Proprietary Software — All Rights Reserved © Requra.AI