Abstracta Introduces Quality Intelligence for Faster Software Releases

SAN FRANCISCO, Oct. 13, 2026 /CourierPR/ -- Abstracta, an AI-powered quality engineering company that helps enterprises release critical software with confidence, has introduced Quality Intelligence as an emerging practice for software quality in the AI era. The company announced the introduction of Quality Intelligence at Quality Sense Conf 2026 in Montevideo, Uruguay, in 2025.

Quality Intelligence, according to Abstracta, connects systems, context, and human judgment to understand the risk of every change and decide with confidence where to invest effort. The company's Co-CEO, Sofía Palamarchuk, presented the vision and the first version of the Quality Intelligence Manifesto in the opening keynote at Quality Sense Conf 2026.

Abstracta's Quality Intelligence framework helps banks, fintechs, insurers, and other enterprises running critical software understand the risk of every change and make release decisions at the same speed AI lets them build. It comes to life in Abstracta Intelligence through release readiness agents and dashboards.

The company's approach, which closes the gap between what AI produces and what teams need to understand to make safe release decisions, is based on the principles of the U.S. Department of the Treasury's Financial Services AI Risk Management Framework, released in February 2026. Abstracta's Quality Intelligence Maturity Model places organizations on five stages, from exploration and individual adoption to AI-assisted release decisions.

Abstracta has spent nearly 20 years improving software quality in business-critical systems, including work with global banks such as BBVA and Santander. The company built a generative AI copilot to help teams understand a core banking system made up of hundreds of thousands of programs, which has enabled a 40% reduction in production defects in under six months, regression cycles cut from days to about 30 minutes, and more than 2,000 hours saved per month through AI agents built on Tero.

Abstracta Intelligence helps teams validate changes at the same pace they build them. Its agents, built on Tero, connect to the systems banks already run, from Jira and CI/CD pipelines to AS/400 and core banking platforms, and prepare the release decision. System Understanding explains how a feature, flow, or business rule works across docs, tickets, code, and tests. Change Impact shows what changed and which areas may be affected. Risk Assessment flags risks based on history, defects, weak coverage, and incidents. Release Readiness summarizes the evidence for a go/no-go decision that a person signs off on. Knowledge Capture turns expert knowledge into reusable, auditable context.

Testing Maturity, DORA metrics, and Release Readiness dashboards give QA, engineering, and leadership a shared baseline for each release, while audit trails, defined roles, and human approval keep people accountable for every go/no-go call.

Abstracta's Quality Intelligence framework brings together technical context, business rules, and the knowledge of experienced testers and analysts so teams can base release decisions on evidence. The company's approach gives people visibility and context when they need it, and the decision about what ships stays with the people responsible for it. This allows organizations running critical software to adopt AI to ship faster with confidence.

Abstracta Intelligence engagements start with the Abstracta 90-Day Quality Intelligence Framework, which defines what to prioritize, what changed, what evidence is missing, what impact AI is having, and what to scale. Tero is free and open source on GitHub. To schedule a 90-day Quality Intelligence assessment, contact Abstracta.

Abstracta, founded in Uruguay in 2008, works with banks, fintechs, insurers, and global enterprises where software quality directly affects revenue, risk, and customer experience, including Santander, BBVA, Broadcom, Pernod Ricard, and Shutterfly. Abstracta combines AI-enabled quality engineering solutions with Abstracta Intelligence, an enterprise AI platform for Quality Intelligence built on Tero, its open-source agent harness for QA workflows. With nearly 20 years of experience and offices in the United States, Canada, Brazil, Chile, Colombia, and Uruguay, Abstracta partners with Microsoft, Datadog, Perforce, and Tricentis.

Abstracta has delivered a 40% reduction in production defects in under six months, regression cycles cut from days to about 30 minutes, and more than 2,000 hours saved per month through AI agents built on Tero. Abstracta's approach has placed organizations on five stages of the Quality Intelligence Maturity Model, from exploration and individual adoption to AI-assisted release decisions. Abstracta Intelligence helps teams validate changes at the same pace they build them, with agents connecting to systems banks already run, from Jira and CI/CD pipelines to AS/400 and core banking platforms. System Understanding explains how a feature, flow, or business rule works across docs, tickets, code, and tests. Change Impact shows what changed and which areas may be affected. Risk Assessment flags risks based on history, defects, weak coverage, and incidents. Release Readiness summarizes the evidence for a go/no-go decision that a person signs off on. Knowledge Capture turns expert knowledge into reusable, auditable context. Testing Maturity, DORA metrics, and Release Readiness dashboards give QA, engineering, and leadership a shared baseline for each release, while audit trails, defined roles, and human approval keep people accountable for every go/no-go call. Abstracta's Quality Intelligence framework gives people visibility and context when they need it, and the decision about what ships stays with the people responsible for it. This allows organizations running critical software to adopt AI to ship faster with confidence.