"We can't use any of these tools. Legal won't approve them.”

Two of Australia's largest tech companies desperately needed to find a solution for meeting intelligence: Transcripts, video recordings, searchable data - but every tool on the market was built for individuals, not large organisations.

While consumer meeting agents proliferated, the enterprise market remained underserved.

🚨 Legal teams couldn't approve without strong consent controls.

🚨 Operations teams couldn’t without being able to export data.

🚨 IT teams couldn't deploy solutions requiring individual employee setup.

Every major tech company we talked to was actively shopping for alternatives. We had an opportunity to create an enterprise-first meeting agent that solved for these limitations.

An enterprise meeting agent could become the data foundation for countless other AI use cases, with meeting transcripts feeding into every workflow our customers built.

But, despite customer demand, we faced pushback. Leadership saw red flags. 🚩

• How do you authenticate 4,000 users to one agent?
• Where does meeting data live?
• How do you handle real-time consent?

⚠️ Too complex. Too risky. Not worth another attempt.

But we kept hearing the same thing:

"If you build this, we'll deploy it to our entire organisation."

This wasn't another feature request. We would make Relevance AI irreplaceable.

Our triad had conviction we could solve it, but we only had six weeks to prove founders wrong.

The Result: We turned skeptical founders into believers of our vision

Meeting intelligence that collaborates with agents to produce team assets