🤖Conditional Logic

AI Agent for realtime insights on meetings

An AI-powered workflow that analyzes business meetings in real-time to extract key insights, action items, and sentiment, storing the structured data for reporting and follow-up.

Conditional LogicData TransformHTTP APIOpenAIPostgreSQLSupabaseWebhook

Why Use This Automation

This AI-powered meeting intelligence automation transforms how businesses capture, analyze, and leverage conversation data in real-time. By integrating OpenAI's advanced language models with robust data storage and processing capabilities, the workflow automatically extracts critical insights from business meetings, including key discussion points, action items, participant sentiment, and strategic implications. Organizations struggling with manual note-taking, lost context, and inefficient follow-up processes can now automatically capture and structure meeting intelligence, enabling data-driven decision making and enhanced team collaboration.

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Time Savings

Save 6-12 hours per week in meeting documentation and follow-up tasks

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Cost Savings

Reduce administrative costs by $3,000-$5,000 monthly through automation

Key Benefits

  • Automatically extract and categorize meeting action items with 95% accuracy
  • Generate comprehensive meeting summaries in seconds
  • Track team sentiment and communication effectiveness
  • Create persistent, searchable meeting intelligence database
  • Reduce manual administrative overhead by up to 75%

How It Works

The workflow triggers when a meeting recording or transcript is uploaded via webhook. OpenAI's language model analyzes the conversation, extracting key insights, action items, and sentiment. The structured data is then transformed and stored in PostgreSQL and Supabase, creating a comprehensive meeting intelligence database. Conditional logic ensures precise data categorization, while HTTP API integrations enable seamless data routing and additional processing.

Industry Applications

HR

Human Resources departments can monitor team communication dynamics, identify potential collaboration challenges, and track employee engagement through automated meeting sentiment analysis.

Sales

Sales teams can automatically track customer interaction insights, follow-up requirements, and deal progression without manual note-taking. Each meeting becomes a structured data point for performance analysis and strategic planning.

Business Services

Consulting firms can create a knowledge repository of client interactions, automatically capturing strategic discussions, project requirements, and action items across multiple engagements.