Model risk under control. Evidence included.

You manage the models your institution depends on. Including AI. Yields gives you one framework for all of them. consistent validation, continuous monitoring, and documentation that is ready when the regulator asks.

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Category Leader in the Chartis 2025 RiskTech Quadrants for Model Validation, Model Governance, and AI Governance.

Model Risk Management Software for Model Risk Managers | Yields

The daily reality

The same work. Without the overhead.

AI is being built and deployed faster than most governance frameworks can absorb. You need one approach that works for traditional models and AI alike.

Without Yields

Validation steps tracked in spreadsheets and shared drives.
Documentation assembled manually before every review.
No single view of which models are due for review or have drifted.
AI and LLM systems governed differently, or not at all.
Audit preparation takes weeks instead of days.

With Yields

Structured validation workflows with every step logged automatically.
Documentation generated from the work you have already done.
One live inventory with validation status, risk tiers, and next review dates.
AI and traditional models in one framework. Same rigour, same audit trail.
Audit trails built in from day one. Ready when needed.

The questions you face every quarter

The answers should be easy to find.

Do you know which models are overdue for validation, and which carry the highest risk?

If something has drifted since the last review, would you see it before the regulator does?

Are your AI and machine learning models in the same inventory as your traditional models?

When the AI team ships a new model, does it land in your framework automatically?

Can you produce a complete validation report without starting from scratch?

Is every finding, assumption, and limitation documented and traceable?

With Yields, you always know. And you can always show it.

See it in action

How it works

Structure across the full model lifecycle.

01

Centralise your inventory

Bring every model and AI system into one structured catalogue. Risk tiers, owners, status, and validation history in one place.

02

Run consistent validation

Standardised workflows for both traditional models and AI systems. Findings, assumptions, limitations, and EU AI Act risk classifications logged consistently across the board.

03

Monitor and stay ready

Track performance continuously. Get alerts on drift. Generate documentation and reports without reconstructing anything from scratch.

Bridging model risk and AI teams

One framework for models and AI.

AI teams move fast. Model risk teams need structure. Yields gives both sides what they need: AI developers can log and document their systems without slowing down, and you get the oversight and evidence to validate and monitor them properly.

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Customer story

Yields is a flexible and easy-to-use tool for managing model risk. The collaboration from initial setup to day-to-day management has been great, and I would highly recommend it.