Vasco

Designing an AI research orchestrator for RevOps

First employee. Built the product from zero across every layer—from data trust to agentic AI.

Role

Founding Designer

Timeline

2022–2026

Location

Montréal

Review Hub
Analysis Tasks
Pipeline breakdown
Review Hub — conversation-driven analysis

The Context

I joined Vasco as the first employee. No product, two founders with a Lightspeed exit, and a precise vision for what RevOps could be. I moved from Paris to Montréal for this bet.

For two and a half years I was the sole designer, shaping every layer of the product. I later helped recruit two fantastic designers and led the design team while keeping the most transversal product knowledge in the company.

The product evolved in strata:

Spreadsheet
Command center
Trust layer
Operational dashboards
Agentic AI

Each layer solved a problem and revealed the next. The data is clean? Good, now trust it. You trust it? Good, now surface actionable KPIs. You have KPIs? Good, now tell a story with them.

That last step is where Review Hub comes in.

The Problem

RevOps teams sit on mountains of data. What they lack is the ability to turn it into a narrative fast enough to matter.

The synthesis work is manual, repetitive, and error-prone. The same numbers need to tell different stories depending on the audience: the board wants an executive summary, the VP Sales wants a pipeline diagnostic, the CRO wants concrete actions.

Some teams don’t even know where to start. They open a spreadsheet, stare at the numbers, and ask: “What’s going on?”

Existing tools don’t solve this. Dashboards show numbers, not narratives. LLMs in chat mode are stateless—no trace, no structure. Slides are an output, not an analysis process.