ADGM Academy

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Featured Schools Developing expertise for the evolving world of sustainable finance Preparing professionals to lead in evolving treasury and risk functions
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Our research focuses on five strategic themes that are redefining the future of financial services and the broader economy. Through authoritative papers, insights, and reports, we turn complex challenges into practical knowledge that supports industry leaders, regulators, and entrepreneurs.

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School of Artificial Intelligence

AI in Financial Services Applied Programme

Schools Schools of Artificial Intelligence AI in Financial Services Applied Programme

Programme Overview

The AI in Financial Services Applied Programme is designed to help financial services professionals move from artificial intelligence (AI) awareness to practical, governed implementation. Delivered over twelve weeks, the programme combines structured evening sessions with a weekly half-day lab, enabling participants to apply AI to real workflows across banking, asset management, insurance, fintech, and regulatory environments. 

The programme progresses from AI capability-building to function-specific application and regulatory alignment. Participants learn how to identify appropriate use cases, assess model risk, embed human judgement, and document AI workflows in a way that supports auditability, accountability, and responsible adoption within regulated financial institutions. 

This flagship ADGM Academy programme anchors artificial intelligence in the realities of financial services. Delegates complete a capstone sprint and present a governed AI workflow to an industry panel. They leave with a production-candidate AI workflow, supporting governance documentation, and a practical credential that demonstrates applied competence in AI for finance. 

Programme Benefits Programme Modules ADGM Academy ADGM Academy Certificate of Completion Twelve Weeks
Programme Benefits
Participants learn to apply AI to know-your-customer (KYC) processes, credit memos, regulatory reporting, and document-heavy workflows across banks, asset managers, insurers, fintechs, and oversight bodies. Outcomes are grounded in financial services data, controls, and operational realities.
Participants translate AI capabilities into front-office, risk and credit, financial crime, operations, and research contexts through a dedicated five-week deep dive. Each function is addressed through practical use cases, measurable outcomes, and appropriate control points.
Delegates learn to align AI initiatives with Financial Services Regulatory Authority (FSRA) and Abu Dhabi Global Market (ADGM) expectations, while also considering the implications of the European Union Artificial Intelligence Act (EU AI Act). Particular emphasis is placed on defining where AI must not make decisions and how human judgement is embedded by design.
Who is the Programme for?

The programme is designed for professionals working in banking, asset management, insurance, fintech, and regulatory institutions, including teams responsible for digital transformation, risk, compliance, operations, product development, and supervision. 

Registration Form

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* Please note: This programme is available only to corporate groups. Individual signups are not eligible.
Learning Modules

Module 1: FS AI Capabilities 
Apply core AI techniques through a financial services lens to KYC, credit memos, and regulatory reporting, with a focus on measurable impact, risk controls, and responsible use (Weeks 1–3). 

Module 2: Document Intelligence 
Build and operationalise document intelligence for prospectuses, term sheets, and regulatory circulars, extracting structured insights with audit-ready traceability (Weeks 1–3). 

Module 3: Function Deep-Dives 
Translate AI methods into front-office, risk and credit, financial crime, operations, and research workflows, with clear objectives, metrics, guardrails, and accountability for each function (Weeks 4–8). 

Module 4: Model Risk and Judgement 
Define where AI must not make decisions and apply model risk management, human-in-the-loop controls, and escalation pathways within regulated financial services environments (Weeks 4–8). 

Module 5: Regulatory Alignment 
Interpret FSRA and ADGM regulatory expectations, alongside EU AI Act requirements, to govern data, models, validation, monitoring, and lifecycle documentation (Weeks 9–12). 

Module 6: Governed Capstone Delivery 
Design, validate, and present a production-candidate AI workflow with governance documentation to an industry panel, demonstrating readiness for controlled implementation in a regulated financial services environment (Weeks 9–12). 

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