E-book

Scaling Model and AI Risk Management in Complex Financial Organisations

A multi-governance approach to eliminate duplication and fragmentation
e-book Scaling Model and AI Risk Management in Complex Financial Organisations
June 15, 2026
Model Risk Management
Model Risk Management regulation

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E-book: Scaling Model and AI Risk Management in Complex Financial Organisations | Yields
What's inside

From overlapping frameworks to one structured approach

A clear, practical look at why model and AI governance fragments in complex organisations, and how a multi-governance approach removes duplication without forcing everything into a single framework.

When frameworks stop matching reality

Why a single model now sits under model risk, AI governance, regional regulation and operational risk at once, and why traditional one-to-one governance no longer holds.

The hidden bottleneck: standardization

Automation depends on alignment, not technology. See why forcing full standardization across teams, functions and geographies stalls governance at scale.

A new paradigm: structure, don't simplify

The multi-governance approach is built on one idea: every use case is a triplet of Model × Usage × Governance, so the same model is reused without duplication.

The measurable payoff

A worked example and platform walkthrough showing 400 governed objects collapse to 174, without merging a single framework or losing flexibility.

The guide at a glance

What multi-governance changes, in numbers

56%
Fewer objects to govern
42%
Less management effort
174
Objects to govern, down from 400
3
Dimensions: Model · Usage · Governance
Who it's for

Built for the people scaling governance

Whether you're untangling overlapping frameworks or extending oversight across regions and AI, this guide gives your teams a shared way to structure the complexity.

Risk managers & CROs at institutions where models span multiple frameworks and regions.
Model risk & validation teams losing time to duplicated inventories and reconciliation.
AI governance leads bringing AI use cases under oversight alongside traditional models.
Heads of governance & operations scaling oversight without scaling headcount.

About the

Author(s)

Jos Gheerardyn Yields
Jos Gheerardyn
CEO and Co-founder

Jos Gheerardyn is the co-founder and Chief Executive Officer (CEO) of Yields. Prior to his current role, he worked as both a manager and an analyst in the field of quantitative finance. With nearly 20 years of experience, he has worked with leading international investment banks and start-up companies. Jos is the author of multiple patents that apply quantitative risk management techniques to the energy balancing market. Jos holds a PhD in superstring theory from the University of Leuven.

Lotte Van Deyck Yields
Lotte Van Deyck
Head of Marketing

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