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AI-Powered ESG & Productivity Tool 

Introduction

A global enterprise operating across Healthcare, EdTech, and Financial Services sectors faced growing challenges in managing spoken communication data — from internal meetings and customer calls to compliance-driven interactions. Manual transcription and review processes were slow, inconsistent, and prone to human error, making it difficult to derive meaningful insights for ESG compliance and strategic decision-making. 

  

The company sought a unified AI-powered solution capable of real-time transcription, intelligent interaction analysis, and ESG monitoring — all within a single, scalable digital platform. 

Challenges

The organization faced multi-layered issues across departments:

  • Manual speech analysis bottlenecks: Analysts spent up to 8 hours transcribing and summarizing 1-hour meetings, delaying insights. 
  • Limited ESG visibility: There was no automated way to detect or quantify ESG-related mentions, discussions, or compliance deviations in verbal communication. 
  • Data fragmentation: Communication data existed across multiple tools and channels, lacking centralized visibility or searchability. 
  • Compliance risks: Without automated checks, identifying potential regulatory breaches or ESG-related violations in real-time was nearly impossible. 
  • Sector-specific nuances: Healthcare, EdTech, and Finance teams had unique compliance terminologies, requiring customized AI models.

The absence of a smart speech-intelligence tool was slowing decision cycles, increasing audit risks, and reducing overall team productivity. 

Our Solution

We developed an AI-Powered ESG & Productivity Platform integrating speech recognition, analytics, and ESG monitoring — built for scalability and sector adaptability. 

Key features included:

  • AI Speech-to-Text Engine: Deployed Deepgram and OpenAI Whisper for domain-trained, high-accuracy transcription in real time. 
  • ESG Intelligence Module: Automatically detected, categorized, and quantified ESG-related themes in conversations for proactive compliance tracking. 
  • Custom Evaluation Framework: Enabled organizations to define their own productivity or compliance metrics, evaluating interactions against these parameters. 
  • Real-Time Communication Layer: Integrated Agora APIs for seamless live monitoring, transcription, and data streaming. 
  • Cross-Platform Deployment: Built using Python, Django, REST APIs, Flutter, and MongoDB for scalability, with secure cloud hosting on AWS. 
  • Sector Adaptability: Customized keyword recognition and sentiment models for Healthcare (HIPAA), EdTech (FERPA), and Finance (SOX & ESG guidelines).

This holistic system transformed how the enterprise analyzed spoken communication — automating compliance tracking while enabling managers to access real-time, actionable insights from every conversation. 

Results
  • 45% improvement in overall productivity by automating manual transcription and review tasks. 
  • 38% higher ESG compliance accuracy, driven by AI-based detection and classification. 
  • 60% reduction in time spent on post-meeting documentation and report creation. 
  • 90% transcription accuracy achieved even in multi-speaker, cross-accent environments. 
  • 30% faster decision-making due to real-time availability of conversation analytics and insights. 

The AI-powered ESG & Productivity Tool redefined communication intelligence, helping teams work faster, remain compliant, and align daily operations with their ESG goals — all through one intelligent, automated system. 

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