How Automation Turned Hours of Voice Transcripts Into Instant Insight

Automation works best when it removes repetitive work and amplifies what teams already do well. A recent workflow in Relay.app did exactly that. It saved around five hours a week for our product managers and made voice agent transcripts from ElevenLabs far easier to use.

Here is how it works and why it matters.

The Challenge

Our team uses voice agents powered by ElevenLabs to interview clients during early project discovery. These conversations help surface needs, workflows, and opportunities before building anything.

The problem was not capturing the audio. The problem was what came next.

Each session produced a transcript that had to be manually copied from ElevenLabs into Google Docs. Organizing, formatting, and tagging insights took hours every week. The process was necessary but tedious.

We needed a way to move from conversation to insight automatically.

The Solution: Connecting Relay and ElevenLabs

The team built an automation inside Relay.app that connects ElevenLabs, Google Sheets, and Google Drive into one seamless pipeline.

Here is the flow:

1. A client interview ends in ElevenLabs.

2. Relay triggers a webhook as soon as the transcript is ready.

3. The transcript is sent to a Google Sheet and matched with the right project folder.

4. A custom script formats the data.

5. A clean Google Doc is generated automatically, organized by client, topic, and date.

The automation also pulls transcripts from Fireflies.ai, which captures internal one-on-one conversations. Everything is stored in a central workspace where insights can be accessed and compared.

Why It Works

This workflow solved three problems at once.

• Time savings. What used to take hours now happens instantly.

• Consistency. All interviews follow the same structure and live in one format.

• Clarity. Teams start projects with searchable, organized data that drives strategy.

By integrating automation directly into discovery, we turned a routine task into an engine for context and insight.

From Transcript to Roadmap

Those automated documents now serve as the foundation for AI roadmaps during client discovery.

When a new engagement begins, the team reviews the transcripts to identify repeated patterns, pain points, and opportunities. The process gives us a clearer picture of client priorities before any design or engineering begins.

Insight
The best AI roadmaps do not start with brainstorming sessions. They start with clean, organized data drawn from real conversations.

Why Automation Matters Now

Voice agents are powerful, but they generate large amounts of data. Without automation, that data becomes noise. With automation, it becomes structured insight.

The key lesson: small workflows like this scale impact fast. Each saved hour frees time for deeper analysis, better decision-making, and faster delivery.

Getting Started This Week

1. Identify any manual data transfer steps in your workflow.

2. Use Relay or a similar tool to automate those steps.

3. Connect key apps like ElevenLabs, Fireflies, and Google Drive.

4. Set up automatic formatting so the output is ready for use.

5. Review the time saved and reinvest it into higher-value work.

   
   

Closing Thought

AI and automation are most powerful when they remove friction. Turning voice transcripts into structured, ready-to-use insights is a small change with big impact.

Every workflow you automate compounds. Each one builds a stronger foundation for insight, creativity, and scale.