Call Analyzer with AssemblyAI Transcription and OpenAI Assistant Integration

Workflow Name

Key Features and Highlights

This workflow automates the processing of sales call recordings by converting audio to text (with speaker diarization), performing AI-driven sales call analysis, and storing structured results in a database. Highlights include:

Utilizing AssemblyAI’s high-accuracy transcription service to convert calls into speaker-labeled text.
Leveraging OpenAI’s GPT-4 model for in-depth analysis of the transcript, evaluating customer intent, interest level, service presentation effectiveness, objection handling, potential upsell opportunities, and conversion likelihood.
Outputting analysis results in JSON Schema format for structured and easy downstream processing.
Storing both the raw transcript and AI analysis results in a Supabase database for centralized data management and retrieval.
Supporting asynchronous Webhook callbacks to ensure automation and real-time responsiveness.

Core Problems Addressed

Traditional sales follow-up lacks structured and automated call content analysis, making it difficult to accurately grasp customer needs, interest levels, and upsell potential. This workflow enables sales teams to quickly gain call insights through automatic transcription and AI-driven analysis, thereby improving customer communication efficiency and conversion rates.

Application Scenarios

Analyzing enrollment call recordings in the education sector to quickly identify prospective customers and their needs.
Sales team call quality inspection and performance evaluation, providing concrete improvement recommendations.
Monitoring customer service call quality to detect objections and areas for improvement.
Any business scenario requiring automatic call transcription and deep content analysis.

Main Process Steps

Manually or automatically trigger the workflow and specify the audio file URL.
Call the AssemblyAI API to submit the audio transcription request, enabling speaker diarization and specifying the expected number of speakers.
Receive transcription completion notification via Webhook and fetch the full transcription result.
Send the transcript to the OpenAI GPT-4 model with detailed analysis prompts and JSON Schema for sales call analysis.
Upon receiving structured analysis results, store both the transcript and analysis data in the Supabase database.
Subsequently, invoke the analysis results from the database or other systems for reporting, visualization, or further business processes.

Involved Systems or Services

AssemblyAI: Audio transcription and speaker recognition API.
OpenAI GPT-4: Large language model for natural language understanding and sales analysis.
Supabase: Cloud database for storing call transcripts and analysis results.
n8n: Automation workflow orchestration tool responsible for node connectivity and data flow.
Webhook: Asynchronous callback mechanism enabling real-time transcription result delivery.

Target Users and Value

Sales teams and managers aiming to improve sales call quality and conversion efficiency.
Customer service supervisors for call quality inspection and service optimization.
Enrollment consultants in educational institutions to accurately understand customer needs and tailor personalized follow-up strategies.
Any enterprise or team seeking to leverage AI to enhance insights from phone communications.

By integrating leading transcription and AI analysis technologies, this workflow significantly reduces manual analysis costs, accelerates sales decision-making, and promotes intelligent customer relationship management.