Droit has announced the launch of Decision Decoder, a AI-powered tool designed to provide context-aware explanations for regulatory and compliance decisions generated by its Adept platform.
The launch reflects growing pressure on financial institutions to demonstrate not only that regulatory decisions are correct, but that they can also be clearly explained, traced, and audited. As regulatory obligations expand across jurisdictions and asset classes, compliance and operations teams are seeking tools that reduce manual review while improving confidence in automated decision-making.
Founded to operationalise complex laws and rules at scale, Droit provides technology that enables financial institutions to encode regulation directly into their operational workflows. Its solutions are used by many of the world’s largest banks and market participants to support both pre- and post-trade compliance across global markets.
At the core of Droit’s offering is the Adept platform, which translates laws, regulations, and internal policies into structured, machine-readable logic. Adept processes tens of millions of inquiries each day, allowing firms to make real-time compliance determinations across multiple jurisdictions while maintaining traceability back to the underlying regulatory sources.
Decision Decoder builds on this foundation by adding an interpretive layer that explains why a particular decision was reached. Used alongside Adept, the new tool applies Large Language Models (LLMs) in combination with Droit’s structured knowledge models to generate clear, readable explanations that are anchored to expert-curated regulatory logic rather than free-form AI output.
The product integrates directly with Droit’s Logic Viewer, combining visual decision trees with AI-generated explanations. These explanations decode the reasoning behind each decision, contextualising it against uploaded trade data and providing citations to the relevant regulatory texts, enabling users to quickly understand outcomes without manually navigating complex logic paths.
Additional safeguards are built into the design to address common concerns around AI accuracy and governance. Decision Decoder operates within narrow, structured constraints defined by Droit’s knowledge models, ensuring that outputs rely solely on user inputs and Droit’s validated regulatory logic. This approach preserves the same level of traceability and auditability as the original Adept decision.
Key benefits highlighted by Droit include faster insight into regulatory outcomes, improved operational efficiency by reducing time spent reviewing logic trees and documentation, and reduced compliance risk through clearer interpretation of complex rules.
Commenting on the launch, Droit CEO Brock Arnason said, “The Decision Decoder combines the explanatory power of generative AI with Droit’s unique decision logic, bringing greater efficiencies to operations and compliance teams worldwide. Adept has enabled transparency and traceability for our clients from day one. We can now offer financial firms a powerful, low-touch tool to enhance comprehension and reduce the administrative burden of compliance.”
Droit chief product officer Joceline Zheng added, “When “AI” is everywhere, effectiveness is the differentiator. Our use of LLM-based AI is not just about the buzzwords. The Decision Decoder synthesizes some of the most powerful aspects of LLM-based AI and the Adept platform to deliver meaningful improvements in our clients’ workflow. It demonstrates the flexibility of Droit’s regulatory knowledge models, which are an exceptionally rich corpus of intellectual assets.”
Keep up with all the latest RegTech news here
Copyright © 2026 RegTech Analyst
Copyright © 2018 RegTech Analyst
