Mercedes Scenna
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Case study

Org Discovery

Copado · Agentia Advanced · Principal Designer · 2026

Copado's first AI-led product experience for assessing a Salesforce org before development begins. In about 30 seconds, Org Discovery turns years of metadata and configuration into a clear view of what exists, where the risks are, and how ready the org is for change.

Agentia home page before a scan: the Org Intelligence banner with an org selector, a Run Org Discovery button and empty category cards The scanned Org Discovery view: an org shape with counts, four finding categories and two readiness scores
My role

I led product definition and experience design from the first product question through closed beta, partnering closely with the Engineering lead to define what the scan could reliably analyze, what the AI should communicate, and what belonged in the first release.

The challenge

Salesforce orgs accumulate years of configuration, dependencies, and technical debt. Before teams design a solution or ship a change, they need a shared understanding of what is already there.

Org Discovery brought Copado's Pipeline and AI Platform together for the first time. The central design problem was not how to display a large amount of technical information. It was how to present AI-generated findings to experts who already knew their org, and would immediately notice when the system was wrong.

How do you design AI-generated guidance that is useful and credible without presenting the model's judgment as fact?
Role
Principal Designer, product definition through beta
Team
Engineering lead, PM and AI contributors, relevant partners
Scope
Seven assessment categories and the end-to-end scan experience
Validation
Internal alpha plus five-customer closed beta
Result
Shipped in Agentia Advanced

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