With a background in information engineering, Andrea Tesei has long worked at the intersection of technology, complexity, and decision-making. This path led him to focus on an often-overlooked aspect: not the rule itself, but how it is understood, structured, and upheld within organizations.
Today, as CEO and co-founder of Aptus.AI, a European RegTech solution dedicated to financial institutions, he supports compliance and legal teams in building a coherent and audit-ready regulatory intelligence framework. In this interview, he shares his vision of compliance as a true driver of governance and performance.
In a context where rules evolve as quickly as the markets, is the real threat regulatory overload… or the inability to extract useful insights from them?
Overload is not the core of the problem. The real risk arises in the gap between the publication of a regulation and its translation into specific, documented, and actionable outcomes. It is in this space that validations become fragmented, uncertainty sets in, and governance slows down. It is at this point that the organization must move from a rule interpreted differently by each function to a single, consistent, and defensible interpretation shared across compliance, risk, and operations.
In Luxembourg, where precision, traceability, and alignment among the three lines of defense are critical, the ability to transform regulations into immediately actionable insights becomes a strategic advantage. A rule that is clear, contextualized, and documented in an audit-ready manner not only speeds up decision-making but also strengthens the consistency and robustness of those decisions.
Luxembourg is home to funds, private banks, and insurers. What regulatory early warning signs do you observe there?
Luxembourg stands out for having much stricter demonstration requirements than other markets. The goal is not merely to comply with the rule, but to demonstrate how it was interpreted and how it aligns with delegations, risks, and controls.
This requirement generates two fundamental needs: a directly actionable interpretation, not raw monitoring; and consistency in interpretation across the three lines of defense, which is essential for reducing internal friction and ensuring sound decision-making.
In a cross-border environment where every decision must be reasoned, justified, and traceable, Luxembourg institutions are seeking solutions that reduce the scope for inconsistent interpretation and enhance the quality of governance.
Many leaders still view compliance as a “cost.” How do you change this perception?
This perception changes once compliance begins to accelerate decisions rather than slow them down.
As long as teams have to manually analyze texts, compare versions, and reconstruct an impact analysis, compliance is seen as a cost center. But when regulations become instantly understandable, contextualized, automatically aligned with internal policies, and documented in a verifiable manner for CSSF audits, then compliance becomes a driver of organizational efficiency.
The transformation is profound: teams shift from a reactive role to a proactive stance where regulatory management becomes a driver of internal innovation, capable of streamlining approvals, building trust, and accelerating strategic decision-making.
With DORA, AIFMD II, ESG, and the acceleration of transparency requirements, which skills will become critical?
The key skill is becoming hybrid: connecting regulations, risks, operations, and data. Understanding the rule is one thing; immediately translating it into concrete impacts and coherent decisions is another. AI is not intended to make decisions in place of teams, but to structure, compare, and clarify obligations to support better-informed human decisions.
To achieve this, institutions need two pillars. On the one hand, enhanced human skills: the ability to interpret, prioritize, and link obligations to internal processes. On the other hand, a suitable technological foundation: automatic version comparison, modeling of obligations, alignment with internal policies, and the traceability required by CSSF audits.
Organizations that successfully adopt AI are also those that develop internal champions, a culture of controlled experimentation, enhanced collaboration across functions, and tools chosen to integrate naturally into their governance. These factors, more than the technology itself, determine the ability to achieve a real ROI.
You often mention a future “AI-friendly regulation.” What would it take to make compliance more seamless and efficient in the future?
Smooth compliance depends on regulations structured to be quickly understood and applied without constant reinterpretation. This requires clearer articulation of intentions, consistent granularity, and clear versioning.
Luxembourg, thanks to the close proximity of its stakeholders and the rigor of its regulator, is particularly well-positioned to promote this model. Regulations designed to be intelligible—by both human teams and augmented systems—enable more consistent, faster, and safer enforcement.
It reduces uncertainty, improves the quality of controls, and strengthens market stability. This is the natural direction for a financial center that prioritizes strong governance and efficient decision-making.
What moment made you see regulation not as a constraint, but as a driver of transformation?
The turning point came when I realized that it is never the rule itself that holds an organization back, but the uncertainty surrounding its interpretation. When the impacts become clear, structured, and traceable, teams move forward faster, with greater confidence and stronger consistency.
Regulation then becomes a framework that secures action, rather than a hindrance.
This conviction guides our vision at Aptus.AI: transforming regulatory complexity into operational clarity, in the service of faster and higher-quality decision-making. And the Luxembourg market, with its high standards for governance, auditability, and cross-functional alignment, confirms the relevance of this approach every day.
