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    Hercules analytics — a new credit risk modeling toolkit

    Transform credit risk modeling with drastic efficiency gains

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    Introducing Hercules Analytics 

    Hercules Analytics is Oliver Wyman’s agentic AI solution designed to transform credit risk modeling. Built on a proven and flexible Python codebase, it automates the entire model development lifecycle — from data ingestion and analysis to calibration and documentation — while allowing effective human oversight through a no-code, natural language interface. The solution orchestrates end-to-end model creation, enabling faster updates and refinements with less manual effort.

    By leveraging validated modeling methodologies and production-quality code deployed across multiple banks, Hercules Analytics produces near-final modeling packages, including regulatory documentation and production-ready code. Its embedded AI layer proactively detects anomalies, flags critical insights, and suggests mitigants, ensuring models meet regulatory standards. The human-in-the-loop approach empowers experienced modelers to steer the process effectively while minimizing risk.

    With Hercules Analytics, organizations benefit from drastic efficiency gains, cutting full-time equivalent costs by 65% and reducing model development time from six to two months. The solution is scalable, compliant, and designed to accelerate innovation in credit risk modeling with immediate cost savings and minimal regulatory risk.

    Accelerate credit risk modeling with Hercules Analytics

    With Hercules Analytics, banks can rapidly update models, ensure accurate documentation, and strengthen governance. Its scalable platform delivers immediate savings and supports continuous monitoring and advanced AI-driven validation. The agentic AI layer orchestrates development, provides insights, and safely configures existing code without generating new code.

    65%
    reduction in full-time equivalent modeling costs.
    50%
    faster model validation and remediation.

    Hercules Analytics helped major banks achieve key credit risk transformation goals

    Modular automation for every stage of model development

    Hercules Analytics combines our proven methodology and codebase with an agentic AI layer to transform credit risk modeling.

    Hercules Analytics' Toolkit flowchart showing inputs, Python‑based modeling, the AI layer, human modeler roles, and final regulatory output package.

    Hercules Analytics powers next-gen risk modeling

    Hercules Analytics delivers a distinctive suite distinctive suite of features transforms credit risk modeling, powered by a flexible, modular Python codebase validated through extensive use. It supports diverse methodologies, adapts to evolving regulatory demands and enables fast cycle times with automated orchestration and error-free reruns.

    Platform agnostic technology
    Built on popular tech with no exotic installs, it is fully aligned with data science and modeling practices.
    Configuration-driven workflow
    Enables low-overhead definitions with interchangeable, parameterized modeling components.
    Maintained by Oliver Wyman engineers
    Regular updates ensure compatibility and integration of the latest innovations, including generative AI.
    End-to-end auditability
    Built-in traceability enables fast, centralized validation and streamlined module review by teams.
    Transparent customizable codebase
    A fully adaptable codebase tailored to client needs, avoiding black-box models and preserving complete workflow control.
    Transform your credit risk model today

    Explore Hercules Analytics’ capabilities and see how it can accelerate, automate, and future-proof your regulatory modeling process.

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