# AI for Finance: faster preparation without weaker control > Make recurring finance work easier to prepare, explain and review without weakening control. Finance teams practise sourced research, reconciliation support, variance analysis, scenarios and management commentary. Every workflow keeps assumptions, evidence and final approval visible. ## What this program changes in practice Finance teams can save time with AI, but only if speed does not hide the assumptions behind a number or weaken the route to approval. The useful opportunity is often in preparation: structuring research, forming reconciliation questions, explaining variances and drafting commentary that a finance professional can then challenge. The workshop keeps the source trail, the calculation owner and the final sign-off visible throughout that process. The session is not a fixed sequence of demonstrations. The facilitator works with the team on Choose the finance workflow, Research and source trails, Reconciliation and variance, using Spreadsheets & data tools, AI search & deep research, Microsoft Copilot when those systems are approved and available. Participants compare first results, make missing context visible and improve the work together. They learn not only which request works, but why an output is reliable enough to move into the next working step. The value should not end when people leave the room. Exercises therefore produce concrete outputs such as Finance workflow brief, Source and assumption trail, Human review checklist. They give colleagues a traceable starting point, show where human review is still required and make the next pilot smaller and more realistic. Optional follow-up work can build on those artefacts instead of beginning again with another general introduction. ## Program facts - Recommended format: Core workshop · 4–6 hours - Alternative formats: Focused workshop · 4 hours - Delivery: On-site / in person, online, or hybrid - Prerequisites: No technical prerequisite; exercises use approved tools and non-sensitive examples. - Audience: FP&A, controlling, accounting, treasury, finance operations and finance leaders. - Reviewed: 2026-08-20 ## Tools participants use - **Spreadsheets & data tools:** Explore tables, test assumptions and create checked summaries without losing the source trail. - **AI search & deep research:** Find, compare and cite current sources, then separate evidence from interpretation. - **Microsoft Copilot:** Work with approved Microsoft 365 capabilities across documents, meetings, email and business information. ## Outcomes - Use AI for preparation while retaining finance ownership - Investigate variances with explicit assumptions - Create management commentary linked to evidence - Design a reviewed pilot for recurring work ## Plan a workshop around work worth improving ### What determines the quote? Share your team size, preferred format, location, approved tools and one workflow you want to improve. These details help scope the preparation, facilitation and any follow-up. Ask for an itemised proposal so you can compare the same scope—not just a day rate. ### How should we assess the value? Choose one representative task and record a baseline before the workshop. Compare the time needed, corrections required and quality of the reviewed output afterwards. Agree who owns the next trial. Treat productivity gains as something to measure, not a promised percentage. ## Practical syllabus ### 1. Choose the finance workflow Identify recurring work with clear inputs, controls and owner. ### 2. Research and source trails Build current briefs that distinguish source facts from interpretation. ### 3. Reconciliation and variance Use AI to structure checks, questions and explanations—not approve numbers. ### 4. Scenarios and commentary Make assumptions visible and draft concise management narratives. ### 5. Controls and pilot Set data boundaries, review steps and a small controlled pilot. ## What the team takes away - Finance workflow brief - Source and assumption trail - Human review checklist - Reporting template and pilot plan ## Prepared delivery - Sponsor alignment call - Short participant questionnaire - Examples adapted to your work - Facilitated live practice - Digital resources - Concise facilitator summary ## Frequently asked questions ### What will our team achieve in the AI for Finance workshop? Make recurring finance work easier to prepare, explain and review without weakening control. The practical outcomes are: Use AI for preparation while retaining finance ownership; Investigate variances with explicit assumptions; Create management commentary linked to evidence; Design a reviewed pilot for recurring work. ### Who is the AI for Finance workshop designed for? FP&A, controlling, accounting, treasury, finance operations and finance leaders. ### Which tools will participants use? The practical stack includes Spreadsheets & data tools, AI search & deep research, Microsoft Copilot. Exercises are adapted to the licences and systems your organisation has approved. ### How long is the workshop and how is it delivered? The recommended format is Core workshop · 4–6 hours. Every core workshop is designed to stay within four to six hours; alternatives include Focused workshop · 4 hours. Choose an in-person session at your organisation or an agreed venue, a fully online workshop, or a hybrid format. ### What preparation is required? No technical prerequisite is required. We hold a short sponsor alignment call and participant questionnaire, then adapt examples to approved tools and non-sensitive work. ### What does the team take away? The working package includes Finance workflow brief, Source and assumption trail, Human review checklist, Reporting template and pilot plan, digital resources and a concise facilitator summary. --- Provider: AI Workshop Saudi Arabia Canonical page: https://aiworkshop-saudi.com/workshops/ai-for-finance/ Contact: marhaba@aiworkshop-saudi.com