Consulting and framework development
Design AI governance policy, model risk management framework, and operating model that match your current risk appetite, regulatory context, and digital strategy.
Governance, Risk and Compliance Services
AI Governance & Model Risk Management Suite
Advisory and implementation service for financial institutions that need a practical AI governance framework, model risk management, and an internal platform that can keep up with fast innovation and strict regulation.
Schedule AI Governance Discussion
Focus on a working model governance environment that reflects your current and planned AI use cases.
Typical scope for one engagement
3 - 6 months
Policy, framework, and pilot implementation
- AI governance policy and operating model
- Model inventory, registry, and documentation templates
- Model validation and approval workflows
- Risk and compliance view for senior management
From policy to working practices
What is included in the AI Governance and Model Risk suite
The suite combines consulting, framework design, and optional implementation of an internal model governance platform. It is designed to work with existing risk, compliance, and IT structures instead of replacing them.
Model governance platform design
Blueprint for internal model governance system such as model registry, approval workflow, monitoring dashboards, and links to existing ERM or IT risk tools.
Model lifecycle controls
Definition of controls across the lifecycle: ideation, development, validation, deployment, monitoring, change management, retirement, and independent review.
Assessment and maturity review
Baseline assessment using AI governance maturity levels, regulatory readiness review, and prioritised roadmap for improvements that can be implemented gradually.
Workshops and training for key teams
Targeted sessions for risk, compliance, model owners, IT, and business leaders to align on roles, responsibilities, and practical expectations regarding AI use.
Integration with existing risk frameworks
Mapping of model risk and AI governance to current ERM, operational risk, IT risk, data governance, and internal audit frameworks.
Designed for banks and financial institutions
Typical deliverables for AI and model risk teams
The outcome is not only slide documents, but a working set of templates, workflows, and example records that your internal teams can continue to extend.
Governance and framework deliverables
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AI governance policy draft and model risk management framework tailored to your institution.
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Roles and responsibilities for business owners, model developers, validators, and risk teams.
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Standard templates for use case intake, model documentation, validation reports, and approvals.
Platform and operating model deliverables
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Model registry and inventory structure with example entries and status tracking.
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High level design for dashboards and monitoring including drift, bias, performance, and incidents.
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Implementation backlog for short term quick wins and longer term platform capabilities.
Engagement model
What You Get From Rayterton
Implementation approach follows the same pattern as other Rayterton solutions. The focus is a working AI governance and model risk environment that already reflects your use cases, risk appetite, and internal roles before you make any commercial commitment.
Before go live
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Free customisation for key governance documents, workflows, and base dashboards that your risk and model teams need.
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Working trial environment or prototype that already uses your real model inventory, selected AI use cases, and example validation records.
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Support to migrate agreed historical models and key documentation into a structured registry so that you start with a clean and auditable baseline.
After go live
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Annual maintenance that already includes change requests for workflows, templates, and reports without extra manday cost.
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Monitoring and performance tuning for model governance dashboards and data pipelines when required by your risk and IT teams.
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Optional deeper integration with other Rayterton modules such as ERM platforms, data governance, or training programs from Rayterton Academy.
Ready to customise AI Governance and Model Risk for your institution
Share your AI and analytics use cases, current model landscape, and risk priorities. The Rayterton team will prepare a prototype model governance environment with sample data and dashboards that your risk, compliance, and business leaders can test together.