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K MENA GenAI Essentials for Finance & Risk Professionals
GenAI Essentials for Finance & Risk Professionals
Artificial Intelligence is fundamentally reshaping the finance profession, and forward-looking organisations are moving beyond isolated AI tasks to embed Generative AI into financial reporting, planning, audit, compliance, and risk management. The GenAI Essentials for Finance & Risk Professionals executive programme is designed to help you transition from using AI as a simple productivity assistant to designing complete AI-enabled finance workflows and collaborating with intelligent AI agents.
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• A clear picture of what the finance function of the near future looks like.
• An understanding of AI as a "digital colleague" rather than just a tool.
• The ability to spot high-value opportunities for AI within their own role.
• Awareness of how the skills finance professionals need are changing.
A repeatable framework for "context-first" prompting.
Ready-to-use templates for variance analysis, audit observations, board papers and management commentary
Techniques to verify and improve AI-generated outputs before they are used.
Practical experience using AI to analyse real financial statements.
An understanding of when to use a fast AI model versus a deeper reasoning model.
The ability to turn dense financial data into clear executive summaries.
The ability to map an existing finance process and identify where AI can help.
An understanding of "human-in-the-loop" validation, how to keep quality control in place.
Practical workflow examples they can adapt to their own team's processes.
A clear, non-technical explanation of what an AI agent actually is and how it differs from a simple chatbot.
Real examples of agents relevant to finance, audit, tax and treasury.
An understanding of where autonomous AI is genuinely ready today, and where human oversight remains essential.
Direct, practical proof of the time savings AI can deliver on real finance deliverables.
Team-based experience applying every skill learned in Modules 1 to 5.
A finished set of board-ready outputs participants can use as a personal reference template.
A personal AI toolkit mapped to their own day-to-day responsibilities.
A clear framework for evaluating and selecting AI tools going forward.
A clear vision of what a modern, AI-enabled finance function looks like.
Practical grounding in AI governance and responsible adoption principles.
Confidence to lead AI conversations at the leadership and board level.
GenAI Essentials for Finance & Risk Professionals
Purpose-Built
Core Governance
Agentic AI
Applied Access
Six Deliverables
Boardroom Simulation
Custom Toolkit
Regional Focus
FAQs
The GenAI Essentials for Finance & Risk Professionals programme is an intensive two-day, eight-hour executive workshop delivered live in-person and online. Designed specifically for accounting, finance, audit, compliance, and risk management practitioners, the curriculum focuses on transitioning professionals from basic AI chatbot prompt usage to designing end-to-end AI workflows, adopting reasoning models for complex decision-making, and leveraging autonomous AI agents within a secure governance framework.
This executive programme is tailored specifically for accounting, finance, FP&A, audit, tax, treasury, risk, and compliance professionals. It is ideal for mid-to-senior leaders, managers, and analysts seeking to future-proof their skill sets, modernize financial operations, and lead responsible AI adoption within their organizations without needing a technical or computer science background.
Unlike broad, non-specialized AI training or self-paced courses that only share generic lists of prompts, this programme is purpose-built for real finance operations using authentic financial statements, budgets, and audit findings. It provides a structured methodology for Agentic AI, full-day hands-on workflow design, a live courtroom-style transformation simulation, regional relevance tailored to the Middle East business and regulatory landscape, and direct access to an experienced practitioner for personalized feedback.
No technical background, coding, or programming experience is required. The programme is designed for practical business application, focusing on non-technical frameworks, strategic prompt architecture, pre-built financial AI tool selection, and logical workflow design that finance and risk professionals can immediately apply using plain-language instruction.
Every participant receives four weeks of full, paid access to Claude starting on day one, allowing them to build a live capstone project for their organization using AI as an active partner. In addition, participants walk away with six reusable deliverables: an Executive Finance AI Playbook, an Advanced Prompt Library, a Finance AI Use Case Library, Agentic AI Frameworks, an AI Tool Selection Guide, and a 90-Day AI Adoption Roadmap.
Governance and responsible AI usage are integrated into the core curriculum rather than treated as an afterthought. Participants learn explicit techniques for maintaining human oversight ("human-in-the-loop" validation), verifying output accuracy to prevent hallucinations, protecting sensitive corporate financial data, and establishing robust compliance frameworks that satisfy risk-conscious leadership teams and board members.
Agentic AI refers to autonomous AI systems capable of executing multi-step, complex workflows independently—such as conducting variance analyses, parsing audit findings, or aggregating tax data—under human supervision. This programme teaches participants how AI agents plan, retain context, and delegate tasks, preparing finance teams to transition from executing routine tasks to supervising intelligent AI agents across month-end close, FP&A, audit, and reporting functions.
Yes, the programme is specifically structured around the regulatory, economic, and operational context of finance teams in the Middle East region. The practical case studies, compliance frameworks, and real-world scenario exercises reflect regional corporate practices, eliminating the need for participants to adapt international generic models to their local business environment.