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AI-Driven ESG Compliance

AI-Driven ESG Compliance and Human-Machine Interaction Analysis for SMEs

Introduction

We received a request to enhance ESG compliance by developing a tool that could record conversations and provide structured analysis of discussions, highlighting what was covered, what was missed, and how aligned the meeting was with intended topics. The goal was to turn routine discussions into strategic assets by surfacing blind spots, improving knowledge exchange, and enhancing decision-making through AI. 

Challenges

  • SMEs frequently struggled with understanding and keeping up with ESG regulations, leading to compliance risks.
  • There was a lack of real-time insights into ESG performance, making it difficult to optimize strategies.
  • Lack of visual feedback made it difficult to spot dominant topics, gaps in dialogue, or bias in knowledge domains. 
  • Manual analysis of audio interactions was time-consuming and lacked clarity in representation. 

Our Solution

  • Designed TIBSI, an AI-powered tool to record and analyze meetings in real time. Provided real-time analytics and practical feedback to guide ESG compliance. 
  • Provided clear summaries of what was discussed and how it aligned with pre-defined agendas or themes. 
  • Identified discussion gaps and provided recommendations for additional areas that could be explored. 
  • Used radar charts to show topic coverage, language graphs to detect domain focus, and word clouds to surface key themes. 
  • Enabled simulation and collaboration modes for practice discussions and expert knowledge sharing. 
Results
  • SMEs using In-DWise reported improved ESG readiness and greater confidence in compliance.
  • Businesses experienced enhanced productivity through actionable insights and automation.
  • TIBSI provided intuitive visualizations that made complex audio data easy to interpret.
  • The combined solutions empowered SMEs to innovate responsibly and engage meaningfully with AI systems. 
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