Model Governance for clear ownership and control across your model landscape
As model use grows across organisations, expectations around governance increase. Teams need to know who owns a model, who approves it and how decisions are documented.
Yields supports model governance as part of its Model Risk Management software, helping organisations bring structure and accountability to governance decisions.
Why is model governance important?
Models drive important decisions. Without governance, organizations cannot prove control or accountability.
This makes it hard to explain who approved what and why.
How Yields supports model governance
Yields provides Model Risk Management software that organisations use to structure and enforce model governance in practice. Governance is embedded directly into the same workflows used for managing model risk.
Define clear ownership for every model
Apply consistent approval and escalation paths
Align governance decisions with internal policies
Document decisions and rationale in one place
Maintain oversight across the full model lifecycle
Collaboration across all lines of defence
Yields supports the full governance structure defined in the three lines of defence model. It helps each group work within their own responsibilities while staying aligned.
First line of defence
Use the platform to develop, document and maintain models with clear ownership and traceability.
Second line of defence
Rely on structured workflows to validate models, assess risk, review assumptions and challenge outcomes.
Third line of defence
Gain transparency into documentation, evidence, controls and audit trails to confirm compliance and governance.
Model governance in an AI driven model landscape
As models evolve and AI techniques become more common, governance becomes harder to manage. Yields keeps model governance consistent across traditional and AI influenced models, even as methodologies change.
The value of using Yields
Strong model risk management and governance leads to better decisions, fewer surprises and smoother supervisory interactions. Organisations using Yields gain clearer oversight, faster validation cycles and more reliable documentation across their entire model landscape.
Reduced validation time
Reduced documentation time
Ready to strengthen model governance?
See how Yields supports Model Governance as part of its Model Risk Management software.
FAQ
Model Governance refers to the specific policies, procedures, and responsibilities that ensure the effective management of models within an organization. It involves overseeing the development, validation, deployment, and retirement of models to ensure their compliance with regulatory and organizational standards. Model governance is a subset of overall governance and typically operates within the broader governance framework of an organization.
Model governance defines who decides and how decisions are made. model risk management focuses on assessing, validating and monitoring model risk. Yields supports both through its Model Risk Management software.
No. Yields provides Model Risk Management software that organisations also use to support Model Governance. Governance is embedded into the same workflows, without requiring a separate tool.
Yes. As traditional models are increasingly combined with AI techniques, governance becomes more complex. Yields applies the same model governance structure to traditional and AI influenced models.
Regulatory frameworks and supervisory guidance increasingly expect clear ownership, documented decisions and consistent governance around models. Strong model governance also supports audit and internal control requirements.
Model governance involves multiple teams, including model owners, risk and compliance teams, governance committees and internal audit. Yields supports collaboration across all lines of defence.
Model governance applies throughout the lifecycle, from model intake and approval to periodic review and retirement. Yields helps organisations maintain governance at every stage.