A sovereign obligation, a very real operational cost.
As part of a judicial investigation, a public prosecutor or a judicial police officer may request that an insurer provide information regarding a person, a contract, or a transaction. For the organizations receiving these requests, compliance is a legal obligation. However, what appears to be a simple request often masks a complex process: identifying the right points of contact, searching for information scattered across multiple systems, retrieving data that may date back some time, consolidating the details, and formalizing a reliable response for the authorities.
The result: hours of work devoted to low-value-added administrative tasks that nevertheless require rigor, thoroughness, and responsiveness.
A paradox to which artificial intelligence technologies can now provide a concrete answer.
DIDEROT: Agentic AI for compliance
To meet this challenge, deepika leverages DIDEROT—its secure generative AI solution designed for business experts—which combines reasoning, information retrieval, and the use of corporate tools.
The goal is to progressively automate the most time-consuming stages of processing judicial requests, ranging from analyzing the request to preparing a documented response.
Connected to information systems and business databases, an AI agent built on DIDEROT can identify the required information, query various available sources, consolidate the results, and propose a structured response that is subject to human validation before being sent.
The difference? AI designed for regulated environments: traceable, auditable, and driven by business experts. An approach that places process control, information security, and human oversight at the heart of automation.
Combined technological and regulatory expertise
To develop this application, Deepika combines her expertise in modeling and artificial intelligence with that of Laurent Knopp—a partner at Yoomind and a specialist in compliance and regulation within the insurance sector.
This collaboration embodies Deepika’s philosophy: starting with a concrete business problem, engaging industry experts, and designing a technology solution directly geared toward a tangible, immediate, and measurable ROI—specifically, reduced processing times, fewer manual tasks, more reliable responses, and better team focus on high-value-added activities.
With this new project, deepika further realizes the mission of its Finance division: to turn AI into a genuine performance driver for financial players—even in areas where regulations had previously appeared to be nothing more than a cost center.