Aptus.AI Launches Next-OS to Automate Compliance Workflows for Financial Giants

Italian fintech Aptus.AI has launched Next-OS, an AI-native operating model designed to automate complex legal and compliance workflows within highly regulated sectors. By shifting from conversational assistants to verifiable execution, the platform enables financial institutions to delegate regulatory analysis while maintaining human oversight, addressing the critical industry need for reliability in AI-driven decision-making.

What was announced

The launch of Aptus.AI Next-OS marks a transition from simple AI chat interfaces to functional tools capable of performing regulated activities. The system is specifically built for banks, insurance firms, and legal professionals who require outputs grounded in verifiable regulatory sources. It operates on a proprietary dataset monitoring over 200 national and international authorities across seven countries, including legislation, case law, and decisions from independent bodies.

Central to the offering is a patented machine-readable technology that converts legal texts into structured data. This allows the AI to understand the context and validity of specific provisions rather than just retrieving text. For instance, the platform can verify if a cited rule is still in force, identify amendments, and map how new regulatory measures affect internal policies. It can also prepare implementation plans with relevant deadlines and identify areas where existing contracts or procedures may no longer be compliant.

The company reported significant efficiency gains from existing users, including major institutions like Intesa Sanpaolo and Generali Investments. In one case involving a large organisation processing 110 legal opinions monthly, the platform reduced preparation time by 50–60%, saving over 1,300 working hours annually. Additionally, for a fintech firm subject to the Digital Operational Resilience Act (DORA), a document review process for exit strategies was reduced from nearly four hours to approximately five minutes.

"In regulated industries, adopting an advanced AI model is not enough. The real challenge is building a reliable, verifiable and continuously updated knowledge base on which AI can operate. We believe the real differentiator is not the model itself, but the quality of the knowledge that feeds it. A reliable AI system is not one that always provides an answer, but one that can ground its output in verifiable sources and recognise when it does not have sufficient information. Only then can organisations delegate real activities to AI while professionals retain responsibility for interpretation, validation and decision-making. This is the foundation for truly AI-native organisations."

Andrea Tesei, CEO and Co-founder of Aptus.AI.

The companies involved

Aptus.AI is an Italian fintech firm headquartered in Pisa, focused on the intersection of artificial intelligence and regulatory technology. The company was co-founded by Andrea Tesei and Lorenzo De Mattei, who serves as the Co-Founder & CPTO. Aptus.AI has positioned itself in the market by developing specialized tools that move beyond general-purpose large language models, focusing instead on the "machine-readability" of legal documents to ensure high-fidelity data for compliance processes.

The firm’s growth has been supported by investors such as P101, a Milan-based venture capital firm that focuses on early-stage investments in digital and technology-driven companies. Aptus.AI operates in a competitive landscape where financial institutions are under increasing pressure to manage cross-border regulatory changes. By serving major European players like Intesa Sanpaolo and Generali Investments, the company has established a foothold in the Tier-1 banking and investment management sectors. Its focus on structured data allows it to compete with traditional legal research databases by offering active workflow automation rather than passive information retrieval.

What this means

The move toward "AI-native" operating models in compliance suggests a shift in the RegTech market from information discovery to automated execution. For years, the industry has struggled with the "hallucination" risks of generative AI, which are unacceptable in a regulatory context. By focusing on a machine-readable regulatory base, Aptus.AI is challenging the dominance of generalist AI providers who lack deep domain grounding. This puts pressure on traditional legal service providers and manual compliance departments to justify their billable hours. The success of such tools will likely depend on their ability to handle the sheer volume of fragmented global regulations, particularly as frameworks like DORA and the AI Act come into full force.