How Valid scaled quality on a new strategic platform without expanding QA headcount.

Valid is a Brazilian reference in identification, digital identity, and e-government solutions, serving clients in regulated, mission-critical verticals. The company is in a strategic shift from "factory to digital", with significant investments in AI: in March 2026, BNDES approved R$300M for the company's AI front.

The core BU of this new phase is a multi-product digital identity platform that centralizes onboarding, identity validation, and signing flows, with live clients and an accelerated expansion roadmap. The operation runs on a platform architecture (API + UI) with parallel BUs sharing the same backbone.

The quality front is orchestrated by Thiago Cedro, QA Lead for the new platform, who took over the BU in January 2026. Valid already had a consolidated Quality practice across other fronts of the company, but the new platform was starting from an early stage of maturity, with product squads operating without a dedicated QA per team.

Thiago CedroQA Lead · Valid

Took over the quality front of the new BU in January 2026 and orchestrated the Voidr deployment, covering 14 modules in 3 weeks with a single person leading the effort.

Building QA maturity in a new BU without increasing headcount

As the new platform gained products and clients, it became clear that the traditional model — hiring a QA per squad — would not scale at the pace of expansion. Every new feature, integration, or product increased the risk surface without a proportional increase in validation capacity.

Thiago, newly assigned to this front, inherited a scenario with no end-to-end validation, no automated regression, and no defect visibility. The teams were eager to take part in quality, but without defined processes to sustain it systematically.

"Since we're just starting out, we're still not sure what might be breaking. Regression, I think, is the most important thing today to make sure staging is solid."

Kickoff meetings · Jan 2026

The practical bar was doubly high: show quick value to stakeholders and cover multiple platform products without becoming an overhead layer. There was no room for a long maturity plan, and it didn't make sense to scale dedicated QA for every new platform product.

Autonomous QA intelligence with dedicated human support for the team

Voidr acts as an operational perception layer that equips the QA team instead of requiring additional headcount. For Valid, this meant deploying continuous validation of critical flows without needing to hire a QA person per platform product, and proving value fast enough to put software quality on the strategic agenda — not as an isolated validation step.

Instead of every new front requiring a new QA hire, Voidr operates as an autonomous intelligence layer with engineers acting as an extension of the internal team. When bugs appear, they are video-recorded, documented, and directed for correction, with a short loop between detection and action.

"The Voidr POC was a success, delivering more quality, speed, and premium support. In 1 month we already had an automated test suite running and delivering value."

Multi-product coverage, intercepted bugs, and a new definition of done

With Voidr operating inside the development cycle, the new platform began being validated end-to-end without requiring a proportional expansion of the internal QA team.

• API pipeline 100% green since 01/04/2026, zero post-stabilization failures.
• Bugs intercepted before production. JWT cookie size limiting platform usage; unintended automatic association between entities, both detected in staging, with recorded videos for documented reproduction.
• Coverage without headcount inflation: Thiago remains the single person orchestrating QA, even with expansion to multiple fronts.
• Quality culture inside the dev team: product squads began treating quality as part of delivery, not as a separate stage — reflected in the new Definition of Done rule adopted on the platform.