AI for Finance Course in Saudi Arabia
Use AI, Excel and finance data to analyse performance, improve forecasts and create reviewed management reports.
Build practical finance workflows across 24 guided hours. Join in the classroom, live online, privately or with your organisation anywhere in Saudi Arabia.
What Is AI for Finance Training?
AI for Finance training helps finance professionals use approved AI tools to prepare data, analyse results, support forecasts, explain performance and improve finance workflows.
The course starts with real finance work: management reporting, budgeting, forecasting, cash flow, working capital, reconciliation and close support. Every important AI output is checked against source data and reviewed before use.
What Will You Be Able to Do with AI in Finance?
Use AI to move from finance data to a clearer, faster and better-reviewed decision process.
- Prepare and combine finance data with Excel and Power Query
- Review KPIs, trends, ratios and exceptions
- Explain budget, forecast and prior-period variances
- Create management commentary and executive summaries
- Build forecast assumptions and scenario comparisons
- Review cash flow and working-capital priorities
- Map reconciliation, close and reporting workflows
- Create a complete monthly performance pack
Who Should Take the AI for Finance Course?
Built for professionals who prepare, review or use finance information. No coding is required.
FP&A and management accounting
Improve planning, forecasting, scenario work and management reporting.
Finance managers and controllers
Strengthen review, commentary, control and decision support.
Accountants and shared services
Improve data preparation, reconciliation, close support and reporting.
Financial analysts
Investigate business drivers, trends, KPIs and exceptions more efficiently.
Auditors and assurance professionals
Understand how finance AI workflows should be checked, evidenced and controlled.
CFOs and finance leaders
Select useful opportunities, set boundaries and guide responsible adoption.
Practical Finance Outputs You Will Build
Leave with reusable finance resources, not only course notes.
KPI and variance review
Validated observations across actuals, budget, forecast and prior periods.
Management commentary
Clear finance commentary with assumptions, checks and source references.
Forecast scenario pack
Base, upside and downside scenarios with business drivers and risks.
Working-capital action pack
Cash, ageing and collection priorities for finance and business teams.
Finance workflow blueprint
Steps, exceptions, approvals, evidence and review responsibilities.
Monthly performance pack
One complete reviewed pack with analysis, commentary and action priorities.
AI for Finance Course Syllabus
Eight practical modules from finance data readiness to a complete management-reporting capstone.
01. AI for Finance: Use Cases, Data Boundaries, Risk and ROI
Choose finance AI opportunities that are useful, realistic and safe to test.
- Score value, frequency, data readiness and control risk
- Separate approved and non-approved AI environments
- Set a time-saving baseline, review effort and success measure
Finance AI Use-Case Scorecard: value, frequency, data readiness, control risk, review effort and implementation priority.
02. Finance Data Readiness with Excel and Power Query
Prepare structured, traceable finance data before using AI for analysis or reporting. Build stronger Excel foundations through the Advanced Excel Training Course where needed.
- Clean and combine finance data
- Create repeatable Power Query steps
- Check periods, account labels, signs and totals
Clean finance dataset and refreshable preparation workflow.
03. AI-Assisted Financial Analysis and KPI Review
Use AI with finance data to investigate trends, ratios, exceptions and business drivers.
- Review actuals, budgets and prior periods
- Analyse margin, cost, volume and performance drivers
- Build checks before accepting an AI-generated conclusion
KPI review pack with validated observations.
04. Management Reporting and Finance Commentary with AI
Turn reviewed numbers into clear management commentary and decision-ready reports.
- Draft concise variance explanations
- Create executive summaries for different audiences
- Use Microsoft Finance Agent and other finance tools where relevant
Monthly management-reporting pack and commentary template.
05. AI for Budgeting, Forecasting and Scenario Planning
Use AI to support assumptions, forecasts and scenarios without treating generated output as fact.
- Structure forecasting assumptions
- Compare base, upside and downside scenarios
- Document drivers, risks and review controls
Forecast scenario model and management decision brief.
06. AI for Cash Flow and Working Capital Decisions
Use finance data to examine liquidity, receivables, payables and working-capital pressure.
- Review ageing and collection priorities
- Test cash-flow scenarios
- Prepare clear actions for finance and operating teams
Cash and working-capital action pack.
07. Finance Automation, Reconciliation, Close and Human Approval
Build controlled workflows from trigger to evidence, with a person responsible for important decisions.
- Map trigger, source data, transformation, AI step and validation
- Handle exceptions, approval, evidence and posting or reporting
- Use AI for matching support and exception summaries without removing accountability
Controlled finance workflow blueprint: trigger, source data, transformation, AI step, validation, exception, approval, evidence and posting or reporting.
08. Finance AI Capstone and 90-Day Adoption Plan
Bring data, analysis, reporting and review controls into one complete finance workflow.
- Build a monthly performance pack
- Present assumptions, checks and conclusions
- Prioritise finance AI opportunities for the next 90 days
Complete monthly performance pack, review rubric and adoption plan.
Which AI Tools Are Used in the Finance Course?
The course sells better finance capability, not a list of software logos. Tools are used where they support a clear finance outcome.
Microsoft Excel
Microsoft Copilot
ChatGPT
Claude
Gemini
Microsoft Power BIFor deeper spreadsheet skills, explore the Advanced Excel Training Course in Saudi Arabia. For dashboards beyond the guided reporting demonstration, explore the Microsoft Power BI Course in Saudi Arabia.
How Do You Check AI-Generated Finance Work?
Every important finance output follows a simple review method.
Check the source
Confirm the correct file, period, account, currency and business context.
Reconcile the numbers
Test totals, signs, formulas, movements and links to the underlying data.
Review the explanation
Challenge assumptions, unsupported causes and wording that goes beyond the evidence.
Approve the output
Apply finance ownership, confidentiality, sign-off and escalation requirements.
AI Adoption in Saudi Arabia in 2026
Saudi organisations are moving from AI experimentation toward governed adoption. SDAIA has designated 2026 as the Kingdom’s Year of Artificial Intelligence and continues to promote responsible AI use. For finance teams, this makes careful use-case selection, data protection, review and accountability increasingly important.
LMS, Finance Templates and Capstone Feedback
Keep the learning system useful before, during and after the live course.
Structured LMS
Access course resources, recordings where applicable, exercises and revision material in one place.
Finance resources
Use prompt patterns, review checklists, scenario templates, reporting structures and workflow maps.
Feedback that improves the work
All learners receive rubric-based capstone feedback. Private and corporate groups can add deeper workflow review.
Choose the Right AI Course
Choose based on the work you want to improve.
AI for Finance
Finance data, analysis, forecasting, reporting, cash flow and controlled workflow improvement.
Microsoft 365 Copilot Course
Workplace productivity across Copilot Chat, Word, Excel, PowerPoint, Outlook and Teams.
AI Automation Course
Cross-platform workflows with n8n, Make, Zapier, APIs and controlled AI steps.
AI Agents Course
Technical agent development with Python, RAG, MCP, tools, evaluation and guardrails.
Finance AI Automation Extension
Add deeper workflow design for finance teams that want to move beyond analysis and reporting into controlled automation.
- Reconciliation and exception workflows
- Close and reporting handoffs
- Approval and evidence requirements
- Automation tool selection
- Human review and escalation
- Pilot workflow and operating checklist
AI for Finance Use Cases in Saudi Organisations
Examples reflect finance work across Saudi organisations without turning the course into a sector-specific programme.
Banking and financial services
Management reporting, planning, control review and decision support.
Energy and petrochemicals
Cost, capital, project and operational performance analysis.
Government and public entities
Budget monitoring, reporting and reviewed management information.
Construction and major projects
Cash flow, project variance, commitments and scenario analysis.
Retail, logistics and hospitality
Margin, demand, cost, working-capital and multi-location reporting.
Shared services and large groups
Close support, reconciliation, reporting consistency and exception handling.
Corporate AI for Finance Training
Build useful finance capability around your reporting cycle, approved tools, controls and business priorities.
- Discovery around finance roles and high-value workflows
- Sanitised company templates, reports and examples
- Approved-tool and data-handling alignment
- Role-based practical exercises
- Finance capstone linked to a real process
- Team rubric, workflow feedback and adoption roadmap
- Optional follow-up clinics and leadership review
Saudi Organisations That Received AI for Finance Training from EduDelphi
One-Day AI for Finance Leaders Workshop
A focused corporate route for CFOs, finance directors and senior finance leaders.
Leadership decisions
- Select useful finance AI opportunities
- Separate quick wins from high-risk use cases
- Set ownership, review and approval
Practical outcome
- Prioritised finance AI use-case map
- Risk and control questions
- 90-day finance AI action plan
Arabic, English and Bilingual AI for Finance Training
Choose the delivery language that fits the learner or team. Relevant cohorts can work with Arabic and English finance documents.
English delivery
Live instruction, finance exercises, resources and support in English.
Arabic delivery
Arabic teaching with practical finance examples and guided exercises.
Bilingual delivery
Use both languages for explanation, workplace documents and reporting exercises.
AI for Finance Training Across Saudi Arabia
Join classroom training, attend live online anywhere in the Kingdom, or arrange private onsite delivery.
EduDelphi Saudi Arabia, Riyadh
Tatweer TowersKing Fahd Branch Road, Al Mohammadiyyah
Tower 2, Riyadh 12361
Saudi Arabia
Training is available in Riyadh, Jeddah, Dammam, Khobar, the Eastern Province and other Saudi locations.
EduDelphi course-completion certificate
Complete the programme and receive an EduDelphi certificate recording 24 guided hours of AI for Finance training.
Request current fees and schedule
Fees are enquiry-led. Your written course details confirm the guided hours, delivery format, LMS, recordings, exercises, capstone feedback and certificate.
AI for Finance Course FAQs
Straight answers about the syllabus, tools, practical work, Saudi delivery and corporate training.
What is AI for Finance training?
AI for Finance training teaches finance professionals how to use approved AI tools with finance data for analysis, forecasting, reporting, reconciliation support and decision-making. The EduDelphi course keeps review, evidence and professional judgement central.
Who should take the AI for Finance Course?
The course is designed for finance professionals, accountants, FP&A teams, controllers, auditors, analysts, managers, shared-services teams and business professionals who work with finance data and reports.
Do I need coding experience?
No. The core course uses Excel, Power Query and guided generative AI workflows. No programming or machine-learning background is required.
How long is the AI for Finance Course?
The programme includes 24 guided hours of live training, practical exercises and a finance capstone.
Which tools are used?
Core exercises use Excel, Power Query and an approved generative AI workspace. The course also demonstrates relevant Microsoft Copilot, Microsoft Finance Agent, Power BI, reporting and automation use cases. Tool choices can be adapted for corporate teams.
Is Microsoft Finance Agent included?
Microsoft Finance Agent is included where it supports useful finance workflows. The course stays outcome-led and does not depend on one software platform.
Is Power BI included?
The core course includes one guided reporting demonstration. Deeper Power BI modelling and dashboard work can be added for private or corporate cohorts.
What practical work will I complete?
You will work on finance data preparation, KPI analysis, management commentary, forecast scenarios, working-capital review, workflow design and a monthly performance-pack capstone.
Can AI produce reliable finance reports?
AI can speed up analysis and drafting, but finance output still needs source checks, reconciliations, approval and professional judgement. The course teaches a four-step review method for every important output.
Can I upload company financial data to an AI tool?
Not automatically. Whether financial data can be used with an AI service depends on the data classification, personal or confidential information involved, the organisation’s approved technology environment, contractual safeguards and applicable Saudi requirements. The course teaches participants to use approved environments, sanitised training data and a review-before-upload process rather than treating a public AI tool as a default destination for company information.
Is AI for Finance the same as Microsoft 365 Copilot training?
No. This course focuses on finance outcomes across analysis, forecasting, reporting and workflow improvement. The Microsoft 365 Copilot Course focuses on workplace productivity across Word, Excel, PowerPoint, Outlook, Teams and Copilot Chat.
How is AI for Finance different from AI Automation?
AI for Finance focuses on finance tasks and decisions. The AI Automation Course teaches cross-platform workflow design with n8n, Make, Zapier, APIs and controlled AI steps.
Is Arabic AI for Finance training available?
Yes. EduDelphi offers English, Arabic and bilingual delivery. Relevant cohorts can work with Arabic and English finance documents and reports.
Where is classroom training available?
Riyadh classroom training is available. Classroom, private and corporate delivery can also be arranged in Jeddah, Dammam, Khobar, the Eastern Province and other Saudi locations.
Can corporate training use our finance process and templates?
Yes. Corporate programmes can use sanitised templates, reports, charts of accounts, workflow examples and approved tools. The programme can be adapted to the organisation’s finance calendar, controls and reporting needs.
Is there an AI for Finance leaders workshop?
Yes. EduDelphi offers a focused one-day workshop for CFOs, finance directors and senior finance leaders covering opportunity selection, controls, adoption and a practical finance AI roadmap.
What feedback is included?
All learners receive structured feedback using a finance capstone rubric. Private and corporate programmes can include deeper workflow review and organisation-specific feedback.
What certificate will I receive?
Learners who complete the programme receive an EduDelphi course-completion certificate recording 24 guided hours of AI for Finance training.
What are the fees and next dates?
Fees are enquiry-led because classroom, live-online, private and corporate routes differ. Request the current SAR quotation, schedule and full syllabus.
Join the AI for Finance Course in Saudi Arabia
Request the full syllabus, current fees and schedule for classroom, live-online, private or corporate training.
English, Arabic and bilingual delivery are available across Saudi Arabia.
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