Mastering Gong Automation on Make.com: A Step-by-Step Guide

Hi there! If you're a Make.com user, you might have come across a challenge that many of us have faced: setting up an automation that watches for new calls, fetches the audio transcript, aggregates the text into audio, summarizes it with AI, and then posts that summary in Slack. It's a complex process, but don't worry - we're here to help you through it, step by step.

Step 1: Gong Watches for New Calls

The first step in this process is to set up Gong to watch for new calls. This involves configuring Gong with the necessary permissions and settings to monitor your call activity. If you're having trouble with this step, make sure to check Gong's documentation or reach out to their support team for assistance.

Step 2: Gong Fetches the Audio Transcript

Once Gong is set up to watch for new calls, the next step is to have it fetch the audio transcript of each call. This involves setting up an API call that retrieves the transcript from Gong's servers. If you're only getting the first sentence of the call, make sure that your API call is correctly configured to retrieve the entire transcript.

Step 3: Aggregate the Text into Audio

With the transcript in hand, the next step is to aggregate the text into audio. This can be done using the Iterator and Text Aggregator modules in Make.com. If you're having trouble with this step, make sure that your Iterator is correctly set up to process the transcript array, and that your Text Aggregator is set up to aggregate everything from the Iterator.

Step 4: AI Summarizes It

Once the text has been aggregated into audio, the next step is to have AI summarize it. This can be done using any AI tool that supports text summarization. If you're having trouble with this step, make sure that your AI tool is correctly configured and that it's receiving the correct input from the previous step.

Step 5: Post the Summary in Slack

The final step in this process is to post the AI-generated summary in Slack. This can be done using the Slack module in Make.com. If you're having trouble with this step, make sure that your Slack module is correctly configured and that it's receiving the correct input from the previous step.

In conclusion, setting up this automation can be a complex process, but with careful attention to each step and a bit of troubleshooting, it's definitely achievable. We hope this guide has been helpful, and we encourage you to reach out if you have any further questions or challenges. Happy automating!

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