AI IN FINANCE - GCC

Four Days. Real Data. Real Decisions. Executive‑Ready Analysis You Build Yourself.

AI is changing how finance teams work. This four-day, hands-on masterclass shows finance professionals how to use AI tools directly in their day-to-day work — financial analysis, reporting, cash flow, budgeting, forecasting and risk — not as theory, but as something delegates do themselves in the room.

Every module follows the same simple approach: see a live demonstration, then apply it immediately to a real case. Throughout the programme, delegates work with real, named companies — anchored by Saudi Arabia’s own Saudi Aramco and Almarai — alongside major international names, so the analysis feels grounded and relevant, not abstract. Delegates leave with working AI prompts, templates and workflows they can use from day one.

Who Should Attend?

This programme is built for finance professionals who want to apply AI themselves, not receive a summary of it from someone else:

Finance Managers and Financial Analysts
Accountants and Financial Controllers
Budgeting & Planning Professionals
Treasury Professionals
Finance Business Partners and Finance Directors
Risk and Strategy Professionals seeking practical AI application

Benefits of Attending

By the end of the programme, delegates will be able to:

Apply AI tools directly within core finance processes, as part of how the work gets done, not as a separate exercise
Produce faster, sharper financial analysis and management reporting
Build AI-assisted cash flow, budgeting and forecasting models
Run scenario analysis and stress tests using AI
Walk away with a personal toolkit of ready-to-use AI prompts and templates, plus an executive-ready financial analysis of a company of their choice, built during the programme

Session 1: AI and the Modern Finance Function

Step 1 — Demo: an orientation to the AI tools used throughout the programme, and where they fit within core finance processes
Step 2 — Delegates set up and test their own AI workspace on a live example
Step 3 — Group discussion: opportunities, risks and realistic use cases for finance in the region

Session 2: Reading the Numbers with AI

Step 1 — Demo: using AI to interpret income statements, balance sheets and cash flow statements, using Saudi Aramco as the live case
Step 2 — Delegates apply the same steps to Aramco’s published financials
Step 3 — Group review: generating an executive-level summary in minutes

Session 3: Ratio & Trend Analysis

Step 1 — Demo: profitability, liquidity and solvency ratios, benchmarked with AI using Saudi Aramco as the live case
Step 2 — Delegates run the same benchmarking exercise on Aramco’s financials
Step 3 — Using AI to draft narrative commentary from the ratio output
Exercise — Ratio Mix & Match: delegates receive six anonymised ratio sets and six named companies (Saudi Aramco, Almarai, Unilever, Microsoft, Emirates and a global oil major) and must match each set of ratios to the correct company, using AI to test and justify their reasoning.

Session 4: Consolidated Reporting & Insights

Step 1 — Demo: consolidating multi-department financials with AI
Step 2 — Delegates build a stakeholder highlights summary
Step 3 — Automating charts and visualisations from raw data

Session 5: Cash Flow Fundamentals & Forecasting

Step 1 — Demo: direct vs indirect cash flow mapping with AI
Step 2 — Delegates build and compare rolling cash flow forecasts across three companies — Saudi Aramco, Almarai and Unilever — to see how sector and market shape the numbers
Step 3 — Scenario planning and funding gap analysis

Session 6: Working Capital & Treasury Management

Step 1 — Demo: receivables, payables and inventory turnover analysis
Step 2 — Delegates calculate and compare working capital requirements across Saudi Aramco, Almarai and Unilever
Step 3 — Drafting treasury policy notes and reconciliation summaries using AI

Session 7: Deep Dive — Working Capital in Practice

Step 1 — Demo: identifying cash bottlenecks and short-term investment options with AI
Step 2 — Delegates apply the same analysis to a case of their own choosing
Step 3 — Monitoring liquidity ratios and building a treasury dashboard

Session 8: AI-Supported Decision-Making

Step 1 — Demo: using AI to support real financing and investment decisions
Step 2 — Delegates work through a live decision case in small groups
Step 3 — Group review and challenge session

Session 9: Stress Testing & Scenario Analysis

Step 1 — Demo: best- and worst-case scenario modelling with AI, using Saudi Aramco, Almarai and Unilever as the comparison set
Step 2 — Delegates build their own scenario comparison across the three companies
Step 3 — Producing an executive risk dashboard

Session 10: AI Risk, Controls & Governance

Step 1 — Demo: practical risks, controls and governance considerations when using AI in finance
Step 2 — Delegates build a simple governance checklist for their own organisation
Step 3 — Group discussion: applying this responsibly in a live finance function

Session 11: Budget Planning & Structuring

Step 1 — Demo: top-down and bottom-up budget building with AI
Step 2 — Delegates create a departmental budget template, benchmarked against Saudi Aramco, Almarai and Unilever
Step 3 — Drafting budget policy notes and highlights

Session 12: Advanced Forecasting & Performance Review

Step 1 — Demo: rolling forecasts and variance analysis with AI
Step 2 — Delegates build a forecast-vs-actual comparison across Saudi Aramco, Almarai and Unilever
Step 3 — Preparing a performance review dashboard and management presentation

Session 13: Executive Reporting & Business Insights

Step 1 — Demo: building an executive-ready report and business insight summary with AI
Step 2 — Delegates apply the same approach to a case of their choosing
Step 3 — Peer review and feedback

Session 14: Bringing It Together

Step 1 — Recap of the tools, prompts and templates used across the programme
Step 2 — Delegates select the company they will use for the closing capstone
Step 3 — Briefing for the afternoon capstone project

Closing Capstone: The Executive-Ready Analysis (Afternoon, half day)

An open-ended, hands-on close to the programme, now expanded to a full afternoon. Delegates choose any company their own organisation or another — and use the AI tools and techniques from across the four days to produce a polished, executive-ready financial summary: the kind of analysis that would once have taken days, built in a single afternoon. The extended time allows for a fuller analysis and a short presentation of findings to the group.

AI IN FINANCE - GCC

Four Days. Real Data. Real Decisions. Executive‑Ready Analysis You Build Yourself.

Who Should Attend?

Benefits of Attending

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