Use Case

Govern every stage of the Model Lifecycle from initiation to retirement

Effective Model Risk Management requires more than a static inventory. It requires structured control over every stage of the model lifecycle.

Yields enables organizations to manage models through standardized, auditable workflows that ensure consistency, accountability, and regulatory compliance from development to decommissioning.

Model Lifecycle Yields

Why is a good model lifecycle managament important?

Model lifecycle management often exists on paper. In reality, execution is fragmented. What works for 20 models breaks at 200.

Models go live before validation is formally completed
Lifecycle stages are defined in policy but not enforced
Findings are tracked in separate files with no central visibility
Monitoring deadlines are missed
Tier reassessments lack version control
Action plans are discussed over email without traceability

Without structured lifecycle control, governance becomes reactive instead of controlled.

Yields offers end-to-end model lifecycle management

With Yields' model risk management software you can easily create configurable workflows that structures and automates your full model lifecycle(s).

From model initiation to validation, monitoring, remediation, and retirement, every stage is managed within a controlled environment.

Define lifecycle phases aligned with your MRM policy

Assign roles and permissions per phase

Enforce mandatory documentation and approvals

Standardize validation and monitoring processes

Track findings and remediation activities

Maintain a complete audit trail

Model lifecycle management with Yields Model Risk Management software

A typical model lifecycle consists of seven stages

Model Lifecycle Yields

Transform your model lifecycle management into a streamlined process.

FAQ

Why is structured lifecycle management important?

A documented lifecycle alone is not sufficient.
Without workflow enforcement, task ownership, and audit trails, lifecycle governance becomes inconsistent and difficult to defend during regulatory review.Structured lifecycle management ensures that no model moves forward without completing required controls.

What are the stages of the Model Lifecycle?

A typical Model Lifecycle consists of seven structured stages:
Model Proposal – Business need definition and initial risk assessment
Model Development – Data preparation, modelling and methodology selection
Pre-Validation – Internal testing and documentation by the first line
Independent Review – Formal validation by the second line of defence
Approval – Stakeholder sign-off before production
Implementation – Controlled deployment into production systems
Validation & Monitoring – Production validation and ongoing oversight

Each stage is governed through configurable workflows, clear role assignments, and full audit traceability.
If a model is materially changed, recalibrated, or extended, it re-enters the same lifecycle process to ensure continuous governance.

How does Yields enforce lifecycle stages?

Yields uses configurable workflows that:
- Assign responsibilities per stage
- Enforce mandatory documentation
- Trigger notifications and reminders
- Block progression when approvals are missing
- Log all decisions and changes automatically
- This ensures consistent governance across all models.

Can lifecycle stages be customized?

Yes.While Yields provides a best-practice out-of-the-box configuration, lifecycle phases, role permissions, questionnaires, and approval flows can be adapted to reflect your internal MRM policy.No coding is required.

How are first and second line responsibilities separated?

Yields enables role-based controls:
- First line users manage development, documentation and monitoring
- Second line users perform independent review and validation
- Permissions are configurable and fully auditable

This ensures proper segregation of duties.