Client Overview

A global enterprise delivering large-scale digital transformation and software development projects. Their business analysts, developers, and project managers run hundreds of requirements meetings across distributed teams and stakeholders.

However, documentation cycles were slow, inconsistent, and heavily dependent on manual note-taking. Requirements, decisions, and technical discussions were often lost or inaccurately captured, leading to delays, misalignment, and costly rework.

The client sought a mobile-first AI platform that could automatically convert audio conversations into complete requirements and technical documentation—while providing intelligence on meeting quality, participation, and decision clarity.

The Challenge

The organization faced multiple documentation and meeting-efficiency gaps across the requirements lifecycle:

1. Manual Requirements Documentation Was Slow and Error-Prone

• Analysts spent hours converting meeting notes into BRDs.
• Information faded between discussion and documentation.
• Document quality varied across analysts.
• Cross-functional inputs were scattered and required manual synthesis.

2. Technical Specifications Lagged Behind Requirements

• Developers waited days for detailed specs.
• Requirements-to-tech translation introduced gaps and errors.
• Architecture decisions were undocumented or buried in emails.
• Technical constraints were missing from early documentation.

3. Meeting Effectiveness Was Unmeasured

• No objective scoring or analytics for meeting quality.
• Dominant voices overshadowed quieter contributors.
• Action items lacked owners or deadlines.
• Best practices were not enforced or benchmarked.

4. Distributed Requirements Capture Was Fragmented

• Requirements emerged across multiple meetings with different stakeholders.
• Manual consolidation required reconciliation of conflicting notes.
• Cross-session context was lost or inconsistent.
• No unified repository linking discussions, requirements, and decisions.

These challenges slowed project initiation, reduced requirement accuracy, and increased the risk of misaligned deliverables and rework.

Our AI Solution

We deployed Liga Require, a unified Audio Intelligence Platform that captures spoken conversations and transforms them into structured, actionable documentation—while evaluating meeting effectiveness and consolidating inputs across teams.

1. Automated BRD Generation from Audio

• Live audio capture or file upload via mobile app
• High-accuracy speech-to-text with speaker identification
• Automatic extraction of:
  • Functional requirements
  • Non-functional requirements
  • Constraints
  • Acceptance criteria
  • Business rules
• BRD auto-generation using standardized templates
• Real-time access for immediate validation

2. Automated Technical Specification Generation

• Parallel extraction of developer-focused details
• Technical requirements, data models, APIs, integration points
• Auto-created Architecture Decision Records (ADR)
• User stories with acceptance criteria
• Auto-generated sequence diagrams & workflow visuals
• Traceability linking business requirements → technical specs

3. Intelligent Meeting Effectiveness Analysis

• AI evaluates meeting quality on a 0-100 score
• Tracks decision clarity, action items, and agenda coverage
• Speaker analytics: participation balance, interruptions, dominance patterns
• Sentiment analysis to identify engagement issues
• Best-practice benchmarking and improvement recommendations
• Action items auto-assigned with owner and deadline

4. Distributed Requirements Capture & Consolidation

• Multi-session audio capture synced across devices
• Intelligent merging engine unifies requirements across discussions
• Conflict detection and duplication removal
• Stakeholder attribution for every requirement
• Versioning and history tracking across project lifecycle
• Consolidated requirement reports with conflict resolution guidance

5. Technical Architecture Highlights

• Mobile Application Layer: iOS/Android offline capture, auto-sync, secure storage
• Audio Intelligence Engine: transcription, NLP, NER, sentiment, meeting analytics
• Document Generation Engine: BRD, technical specs, user stories, diagrams
• Analytics & Reporting: quality scoring, benchmarking, participation metrics

This platform transforms the requirements lifecycle from manual & fragmented to automated, accurate, and data-driven.

Impact & Key Results

Faster, More Accurate Requirements Documentation

• 70-85% reduction in documentation effort
• 3-4× productivity improvement for business analysts
• Information fidelity significantly increased due to complete audio capture

Accelerated Development Cycles

• 40-50% faster start to development due to instant technical specs
• 35-45% reduction in rework through explicit, linked requirements
• 60% fewer developer clarification requests

Improved Meeting Quality & Stakeholder Alignment

• 35-50% improvement in meeting effectiveness
• 25-30% reduction in wasted meeting time
• Balanced participation and clearer decisions

Better Multi-Source Requirements Consolidation

• 80% reduction in consolidation and synthesis time
• Conflicts detected early, not weeks later
• Historical context preserved across entire projects

Project Velocity & Quality Increased

• Faster time-to-project-start
• Higher requirement accuracy
• Stronger stakeholder alignment
• Repeatable, consistent documentation across teams

Liga Require fundamentally upgrades how organizations capture, understand, and transform conversations into actionable project documentation.

Call to Action

Transform your requirements process with AI-powered audio intelligence — Connect with us to see Liga Require in action.