From Model Governance to Decision Governance: A New Paper on AI-Assisted Decisions in Regulated Financial Services

São Paulo, Brazil, September 16, 2026: Deborah Nogueira, Founder and CEO of Zayon, has published a new paper on SSRN: From Model Governance to Decision Governance: A Behavior-Centered Architecture for AI-Assisted Decisions in Regulated Financial Services.

The paper starts from a question that is becoming increasingly pressing for financial institutions using AI: in regulated environments, is governing the model enough to govern the decision?

Model validation, data governance, explainability and human oversight are essential. But in decisions such as credit, limits, collections or onboarding, the model is only one part of what happens. A decision takes shape through the interaction between the model's output, the available evidence, institutional policies, the authority to decide, human interpretation, overrides, escalations and execution itself.

The paper focuses on that space between the model and the decision. Its central proposal is to treat the decision episode as the unit of operational integration, while keeping the model as the unit of technical validation:

"The model remains the unit of technical validation, while the decision episode becomes the unit of operational integration."

Building on that distinction, the paper proposes an architecture that makes the decision process visible: what went into the decision, who took part, which rules and evidence were considered, what changed along the way, and what happened afterward.

It is a conceptual, architecture-building work that combines the author's background in financial and economic engineering, data science and artificial intelligence with professional practice in decision processes in financial services in Brazil and Latin America.

The paper provides the conceptual foundation for XAID (eXplainable AI Decisioning), the architecture Zayon introduced the following day.

"This paper came from a question that kept appearing in my work with AI in financial services," said Nogueira. "Governing the model is necessary, but it isn't sufficient. Institutions need to govern the decision."

Read the paper on SSRN → https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7473119

About Zayon

Zayon builds Trustworthy AI Decision Infrastructure that turns AI capabilities into decisions institutions can trust, govern and audit. Its XAID architecture binds intelligence, evidence and policy into decisions that are explainable, governed and auditable, starting with financial institutions in Brazil. Zayon was founded in Brazil by specialists in economic engineering, AI and large-scale public-sector projects. Learn more at zayon.tech.

Media contact: secom@zayon.tech