Generative AI has the potential to fundamentally change how risk organisations operate. However, the greatest benefits often come not from individual productivity gains, but from systematically redesigning processes, capabilities and operating models. Many organisations are investing in AI tools, yet struggle to translate experiments into measurable business outcomes.
This executive programme explores how GenAI can be used to transform credit risk modelling, validation and analytics functions. Participants will assess high-impact use cases, define governance frameworks, measure business value and develop roadmaps for scaling AI across their organisations. The course focuses on leadership challenges, organisational readiness and strategic decision-making rather than technical implementation.
Built around real-world transformation examples and practical workshops, the programme is designed for managers and directors responsible for leading risk teams through AI-driven change.
Agenda highlights
The Future of Credit Risk Functions: How AI is changing modelling, validation and governance, Emerging roles and capabilities, The future operating model of risk functions
Identifying High-Value AI Opportunities: Mapping use cases across model development, validation, monitoring and reporting, Prioritisation frameworks, AI opportunity portfolio management
From Productivity to Business Value: Measuring ROI, Defining meaningful KPIs, Assessing efficiency gains and quality improvements
GenAI Governance for Risk Organisations: AI policies and controls, Model risk implications, Data confidentiality, Human oversight frameworks, Regulatory expectations
Leading Adoption and Organisational Change: Scaling beyond pilots, Change management considerations, Capability development strategies, Building an AI-enabled culture
Designing Future Risk Teams: New roles and responsibilities, Workforce evolution, Talent and capability planning, Human-AI collaboration models
Risk Copilots and AI Assistants: Validation Copilots, IFRS 9 Copilots, Documentation Assistants, Organisational deployment considerations
Building an Executive AI Roadmap: Quick wins, Medium-term priorities, Long-term transformation initiatives, Success measures and accountability frameworks
Training formula
Training Language
English
Meeting
Online
Duration
8h (09:00 – 17:00)
Type
Executive workshop (combination of expert insights, case studies, strategy exercises and peer discussions)
Practical takeaways:
By the end of this course, participants will be able to:
Identify where GenAI can create measurable value within risk organisations.
Prioritise AI investments and use cases using business-focused criteria.
Design governance frameworks for responsible and compliant AI adoption.
Measure and monitor the impact of AI initiatives.
Develop strategies for scaling successful AI use cases across teams.
Create practical roadmaps for AI-enabled transformation.
Participants will gain practical expertise that can be immediately applied to:
Risk function transformation programmes
AI adoption initiatives
Model development and validation operating models
Resource and capability planning
Governance and risk management frameworks
Productivity improvement initiatives
Strategic planning and budget allocation
Target audience
This course is designed for managers and senior leaders responsible for credit risk modelling, validation, analytics or model governance functions.
Functions & departments
Heads of Credit Risk Modelling
Heads of Model Validation
Credit Risk Managers
Risk Analytics Managers
IFRS 9 Managers
Model Risk Managers
Credit Risk Directors
Chief Risk Officer Direct Reports
Transformation and Innovation Leaders within Risk Functions
Course level:
Executive
Prerequisites:
Experience managing modelling, validation or risk analytics teams.
Strong understanding of credit risk management and model governance.
Responsibility for process improvement, strategic initiatives or organisational development.
