AI-Driven Meeting Compliance Automation
In this use case, we’re looking at team management meeting verification, where an AI agent checks compliance automatically.
I’m demonstrating this with a single meeting just to simplify the setup. But in a real-world scenario, this could be replaced with a webhook watcher or a tool like Highlight or Make’s meeting watcher module. Those can monitor and process multiple meetings automatically.
Here’s how it works:
- Fetch Meeting Details
I start by retrieving one meeting. I collect both the meeting metadata and the full transcript. The transcript includes every sentence from each speaker, along with their names and timestamps. - Aggregate the Data
All that text gets compiled and structured so it can be analyzed. I’m sending it to OpenAI’s ChatGPT with a custom prompt. - Analyze with ChatGPT
The prompt instructs ChatGPT to act like a compliance guard—looking for signs of inappropriate behavior, such as swearing or aggressive tone. You can fully customize this logic based on your company’s policies or internal rules. - Return Results as JSON
The response is formatted as a JSON object. It includes:- Overall compliance status (Compliant / Non-compliant)
- A summary of the meeting
- A list of specific incidents flagged
- Trigger Automations via Make
Once the analysis is complete, Make handles the decision-making. If the meeting is compliant, no further action is needed. If it's non-compliant, a message is sent to Slack.
The Slack message includes:
- Meeting title
- Host name
- Identified issues
- Summary
- Specific incidents
- Optional: Meeting link or other extracted details
This setup allows you to automate meeting analysis and escalate only when necessary. You could also extend the flow to send notifications via WhatsApp, update your CRM, or create reports whatever suits your business needs.
I hope this inspires new ways to think about how your organization can monitor internal communication effectively and efficiently.
