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MODEL RISK MANAGEMENT

Bring every model into a
governed, audit-ready
lifecycle.

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THE CHALLENGE

Model Inventories Are
Outgrowing Model Risk Teams

Every new pricing engine, fraud model, underwriting algorithm or GenAI tool adds to a backlog that most MRM teams were never staffed to clear. Machine learning and GenAI models bring risks — bias, hallucination, drift — that older validation playbooks weren't built to catch. Meanwhile SR 11-7, TRIM, SS1/23 and their equivalents leave no room to treat any model as lower priority just because the queue is long.

Anaptyss embeds trained model risk specialists into your existing MRM framework, so validation, tiering and monitoring keep pace with the inventory instead of falling behind it.

A model risk analyst reviewing validation output at a laptopTwo reviewers signing off a document across a desk

OUR SOLUTION

Model Risk Capacity That
Scales With Your Inventory

Anaptyss runs validation, tiering, monitoring and reporting to your methodology, using your templates, systems and thresholds. Where the work is repeatable — evidence gathering, backtesting, documentation — our platforms take the load off. Where it isn't, your model risk officers keep every opinion and sign-off.

WHAT WE DO

Growing Credit Portfolios
Create Operational Pressure

  • Independent
    Model Validation

    Full-scope review of a model's theory, data, methodology and output, closed out with a validation report and opinion your model risk committee can act on.

  • Model
    Development review

    A conceptual soundness check before a model reaches production — is the problem definition right, is the design defensible, does the methodology hold up.

  • Inventory and
    Tiering

    Building and maintaining the model inventory, drawing clean boundaries between models and end-user tools, and tiering by risk so effort goes where it matters most.

  • Ongoing Monitoring
    and Testing

    Backtesting, sensitivity analysis and stability checks run on schedule, with breaches routed against your escalation thresholds — not discovered at the next annual review.

  • GenAI and ML
    Oversight

    Bias, hallucination and explainability testing built for models that don't behave like traditional statistical ones, with drift monitoring that catches degradation early.

  • Post-Model
    Adjustment Review

    Revisiting overlays and manual adjustments on a set cadence, so what started as a temporary fix doesn't quietly become permanent without documented justification.

  • Regulatory and
    Policy Support

    Keeping your validation standard and MRM policy current, and preparing the file before an examiner asks for it — under SR 11-7, TRIM, SS1/23 or your local equivalent.

  • Committee and
    Board Reporting

    Turning validation status and open findings into reporting your model risk committee and board can actually use to steer.

OUR APPROACH

Delivered Through Digital Knowledge Operations

We learn your methodology before we touch a single model. From there, the work runs the way it would inside your own team — just with more capacity behind it.

  1. 01

    We Validate Against
    Your Standard, Not Ours

    Your MRM policy, tiering logic and templates get documented and built into how our specialists are trained and assessed — and revisited every time your policy or regulatory obligations shift.

  2. 02

    Continuity Over
    Rotation

    The same validators and reviewer stay on your inventory over time. They get to know your models and business lines well enough that reviews get faster, not just repeated.

  3. 03

    Platforms Handle the
    Repeatable Work

    ANA runs structured control testing — Test of Design, Test of Effectiveness, evidence review — against your validation standard, with full audit trail and human sign-off, freeing specialists for judgment work.

  4. 04

    You Keep the
    Opinion

    We do the testing and write the findings. Your model risk officers make the call. Every file carries the analysis, evidence, reviewer and date, so it's audit-ready the day it's closed — not the week before an exam.

See How DKO Works
A specialist reaching into a lit ring of data

What Improves for
Your Team

What Your Model Risk Function Gains

Remediation is tracked to completion, so open findings don't roll forward as background noise on the inventory report.

Validators Focus on Model Risk

Coverage Keeps Pace With What's Being Built

Supervisory Reviews Draw on a Standing Record

OUTCOMES

Proof from
institutions who've
put Anaptyss model
risk teams to work.

  • 40%

    Faster validation of third-party credit risk scorecard models for a US commercial lender, using a machine learning-powered validation solution. 

  • 50%

    Faster response time for a US payments fintech, using the same AI automation Anaptyss applies to model risk documentation.

  • 100%

    Quantification of model performance across accuracy, precision, recall and fairness metrics for a US bank's FINCRIME model suite, ensuring MRM policy compliance.

  • USD400,000

    Annual savings for a US commercial lender through a machine learning-based credit risk scoring model.

See Where Your Model
Inventory Actually Stands

Send us your current inventory and validation backlog. We'll tell you which models are overdue, which are misclassified, and what a managed team would clear first.

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