Droit Unveils Decision Decoder to Bring Explainable AI to Regulatory Compliance
Droit has launched Decision Decoder, a new generative AI-powered capability designed to improve clarity, transparency, and efficiency in regulatory compliance workflows. The tool delivers context-aware explanations for compliance decisions generated by Droit’s patented Adept platform, which is widely used by global financial institutions to operationalise complex regulatory requirements in real time.
The launch reflects growing industry demand for explainable AI in regulated environments, where institutions must not only make accurate compliance decisions, but also clahead demonstrate how and why those decisions were reached.
By combining (LLMs) with Droit’s structured regulatory logic and expert-curated knowledge models, Decision Decoder transforms complex compliance outputs into readable, auditable explanations without sacrificing traceability or control.
From Black-Box Decisions to Explainable Outcomes
Droit’s Adept platform already processes tens of millions of regulatory inquiries per day, delivering pre- and post-trade compliance decisions . However, as regulatory frameworks grow more complex, operational teams increasingly need intuitive explanations to support review, escalation, and audit processes.
Decision Decoder addresses this challenge by generating plain-language explanations that break down how a compliance decision was reached. The AI-generated summaries are tightly anchored to Droit’s underlying logic, user-provided trade data, and citations from the relevant regulatory texts.
Crucially, the tool does not operate as an unconstrained generative model. Instead, it leverages LLMs within the strict boundaries of Droit’s existing regulatory knowledge base, ensuring responses remain consistent, accurate, and fully auditable.
Integrated with Adept’s Logic Viewer for Full Transparency
Decision Decoder is integrated directly with Droit’s Logic Viewer, which already provides a visual representation of the decision tree behind each compliance outcome. The new capability complements this by translating complex decision paths into human-readable explanations that can be expanded with a single click.
Users can view how specific inputs, regulatory conditions, and jurisdictional rules interact to produce an outcome, without manually navigating multiple systems such as the Logic Viewer or Droit’s Digital Library. This significantly reduces the time required to validate decisions or respond to internal and regulatory queries.
Because explanations are generated solely from Droit’s logic and knowledge models, they carry the identical level of traceability and defensibility as the underlying Adept decision itself—an essential requirement for .
Operational Efficiency and Risk Reduction for Compliance Teams
Droit positions Decision Decoder as a practical tool for improving day-to-day compliance operations, rather than an experimental AI feature. By surfacing explanations upfront, the tool assists teams reach quicker understanding, reduces misinterpretation of complex rules, and lowers the administrative burden associated with regulatory review.
Founder and CEO Brock Arnason highlighted that the tool builds on Adept’s long-standing focus on transparency, while Chief Product Officer Joceline Zheng emphasised that effectiveness—not novelty—is the key diverseiator in Droit’s approach to AI.
As compliance decisioning, tools like Decision Decoder signal a broader shift toward explainable, regulator-ready AI—where speed and automation are matched by clarity, accountability, and trust.
