This workflow automates the process of receiving a post-call audio file and transcription from ElevenLabs, processing them, and generating a financial risk report. --- Key Advantages 1. ✅ End-to-End Automation The workflow fully automates the process from raw input (audio/transcript) to final delivery (email report), eliminating manual intervention. 2. ✅ AI-Powered Decision Making It leverages language models to: Analyze qualitative interview responses Convert them into quantitative scores Produce consistent and objective evaluations 3. ✅ Structured Data Extraction Automatically extracts critical business information, reducing human error and ensuring standardized outputs. 4. ✅ Scalability The webhook-based architecture allows the system to handle large volumes of interviews in parallel without additional effort. 5. ✅ Modular & Extensible Design Each step (audio processing, extraction, scoring, reporting) is modular, making it easy to: Replace models Add new analysis layers Integrate additional services 6. ✅ Professional Output Generation Generates clean, ready-to-send HTML reports compatible with email clients, improving communication with stakeholders. 7. ✅ Data Traceability & Storage Audio files are stored in Google Drive, ensuring: Auditability Easy retrieval of original data 8. ✅ Consistency & Standardization The evaluation logic ensures that all interviews are assessed using the same criteria, reducing subjective bias. --- How it works 1. Receiving and Routing Data: The workflow starts with a Webhook that listens for incoming data from ElevenLabs. A Switch node then routes the data based on the body.type field. - Post Call Audio: If the type is postcallaudio, the workflow processes the audio. - Post Call Transcription: If the type is postcalltranscription, the workflow processes the transcription. 2. Audio Processing Path: For an audio file, a Code node extracts the Base64 audio data and the conversationid from the webhook payload. It converts the Base64 string into a binary audio buffer (MP3). This binary data is then passed to a Google Drive node, which uploads the file to a specified folder (the user's root folder). 3. Transcription Processing Path: For a transcription, a Set node extracts the transcript array from the payload. A subsequent Code node processes this array, combining all messages from the conversation into a single, readable full text string, prefixed by the speaker's role. 4. Data Enrichment and Analysis: The full transcript text is then used by two nodes in parallel: - Information Extractor: This LangChain node uses an OpenAI model (gpt-5-mini) to extract structured data from the text, specifically the companyname, the CEO's name, the address, and the vatnumber. - Calculate Rating: This LangChain node uses another OpenAI model to perform a quantitative evaluation. It follows a provided system prompt to assign a numerical score, a final verdict (POSITIVE/NEUTRAL/NEGATIVE), and a reason based on the interviewee's responses. Its output is parsed by a Structured Output Parser to ensure it is valid JSON. 5. Report Generation and Delivery: The outputs from the Information Extractor and Calculate Rating nodes are merged into a single data object. This object is passed to the Financial Report Generator, a final LangChain node that acts as a professional analyst. Using the merged data (company details, score, verdict, etc.), it generates a polished, formatted HTML email body. Finally, a Gmail node sends this HTML report as an email to the specified recipient. --- Set up steps 1. Configure Credentials: - OpenAI: Set up an OpenAI API credential for the three language model nodes. Ensure it has access to the gpt-5-mini model. - Google Drive: Configure OAuth2 credentials for the "Upload audio" node to allow file uploads. - Gmail: Set up OAuth2 credentials for the "Send report" node. 2. Configure Webhook: - Note the webhook ID and path. This URL must be configured in ElevenLabs to send post-call data to this n8n instance. 3. Update Node Parameters: - Google Drive: Modify the "Upload audio" node if the target folder (folderId) is not the root. - Information Extractor: The extraction attributes (company, name, address, VAT) are pre-configured. No changes are needed unless the target data fields change. - Gmail: Update the Gmail node with the recipient email address (xxx@xxx.com) and verify the email subject line formatting. 4. Activate Workflow: Once all credentials and parameters are set, toggle the workflow from active: false to active: true in the n8n editor to start listening for webhook calls. --- 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. []( --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
