Case Study
AI Requirements Interviewer
From client conversations to structured requirements, in minutes.
An AI voice assistant that interviews clients like a business analyst, dynamically explores their project requirements, and transforms the conversation into a structured Business Requirements Document (BRD) draft.
See It in Action
Watch how an AI-led conversation becomes a structured requirements draft.
The Problem
Requirements can get lost in the details.
Traditional requirement gathering involves lengthy meetings, scattered notes, unclear assumptions, and hours of manual documentation. Important details can easily be missed or misunderstood.
The Solution
Guided conversations. Clear requirements.
An intelligent voice assistant that guides clients through a structured yet natural conversation, covering business processes, pain points, desired outcomes, features, constraints, timelines, and success criteria.
What Makes It Different
Designed for clear, reviewable requirements.
Adaptive Conversations
Asks intelligent follow-up questions based on the client’s responses, while handling interruptions, corrections, and uncertainty naturally.
Live Requirement Tracking
Maintains organized, real-time notes distinguishing confirmed requirements, suggestions, and assumptions.
Client-Confirmed Requirements
Presents a requirements summary for client confirmation before generating documentation.
Structured BRD Generation
Produces a consistent BRD covering project overview, scope, functional requirements, and next steps.
No Invented Requirements
Clearly labels every BRD item as confirmed, suggested, or requiring further clarification.
Ready for Review
Saves the generated BRD to a private Google Doc, ready for human review and refinement.
Why It Matters
More clarity from the first conversation.
Turns a single client conversation into an organized, review-ready BRD draft in minutes, reducing documentation effort while improving clarity, traceability, and confidence in the gathered requirements.
Less time documenting. More time understanding what needs to be built.
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