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Abstracta's Quality Intelligence: Transforming Software Releases in Banking

In a world where software development moves at the speed of light due to advancements in artificial intelligence, Abstracta has launched a groundbreaking framework called Quality Intelligence. This innovative approach aims to help banks and fintech companies release software solutions that maintain high standards of quality while accommodating the pace demanded by modern business environments.

Understanding the Quality Intelligence Gap

As banking and fintech sectors increasingly depend on software, the challenge lies in managing the quality of numerous iterative changes quickly. Abstracta defines the Quality Intelligence Gap as the disconnect between the rapid output of AI technologies and the nuanced understanding required by teams to assess software risk effectively. Historically, ensuring software quality has involved testing code after it’s been written. However, with the frequency of changes now soaring, this traditional model is no longer adequate.

By integrating Quality Intelligence, organizations can leverage insights regarding their software’s operational behavior, from requirements to production incidents. This innovative practice aids teams in comprehending the risk associated with each change, thereby allowing them to make informed release decisions promptly.

The Essence of Quality Intelligence

Presented by Sofía Palamarchuk, Co-CEO of Abstracta, during the keynote at the Quality Sense Conf 2026, the Quality Intelligence framework emphasizes a human-centric approach combined with systemic understanding. Through tools such as release readiness agents and dashboards, Abstracta Intelligence acts as a bridge between a team's technical knowledge and business objectives.

Key Features of Quality Intelligence

1. System Understanding: Provides clarity on how features and business rules function—which is essential for ensuring all facets of development are aligned.
2. Change Impact Analysis: Identifies what changes have been made and highlights potential affected areas, which helps preempt issues before they escalate.
3. Risk Assessments: Analyzes past incidents and current code to flag any potential risks, ensuring that teams are always aware of challenges.
4. Release Readiness: Summarizes the evidence required for making go/no-go decisions, enhancing accountability among team members.
5. Knowledge Capture: Transforms expert insights into reusable information, fostering a culture of continuous improvement.

Bridging the Gap: AI-Enhanced Decision-Making

In an age where software errors can have significant financial repercussions, particularly in banking, the stakes have never been higher. The Quality Intelligence framework applies the principles outlined in the Financial Services AI Risk Management Framework established by the U.S. Department of the Treasury. This ensures accountability at every stage of software development, from inception to deployment.

Abstracta’s infrastructure places organizations on a maturity model with five distinct stages, leading them from initial explorations of AI through to fully integrated AI-assisted release decision-making.

Proven Results in Real-World Applications

With nearly two decades of experience, Abstracta has a successful history of enhancing software quality in critical banking systems, collaborating with renowned institutions like BBVA and Santander. The firm’s innovations have led to impressive metrics: a 40% decrease in production defects within a mere six months, a transformation of regression cycles from days to just 30 minutes, and over 2,000 hours saved monthly through its Tero-based AI agents.

The insights gained during these partnerships reinforce Abstracta’s commitment to evolving quality engineering in a way that harnesses AI without sacrificing the integrity of the software.

A Vision for the Future

Sofía Palamarchuk encapsulates the essence of this endeavor: "Producing software isn’t the challenge anymore. While AI has undeniably sped up development, it also raises the complexity regarding changes made and the risks involved. Decisions surrounding software releases must evolve alongside this pace."

By merging technical understanding with practical risk management, Abstracta’s Quality Intelligence stands poised to redefine how the banking industry approaches software releases, fostering an environment where speed and security coexist harmoniously. Through the 90-Day Quality Intelligence Framework, organizations can evaluate priorities, identify evidence gaps, and understand AI's impact, all while developing a roadmap toward enhanced software quality.

As Abstracta continues to lead innovations in quality engineering, the financial services sector can look forward to a future where software deployment is not just fast but also smart.

For more information, check out Abstracta's tools and resources on their official site.