AI Finance Roadmap & Prompt Pack
Build practical AI skills for finance, one checked result at a time.
Follow a clear path from messy financial inputs to repeatable, reviewed AI workflows. This free learning pack combines an illustrated roadmap, reusable Markdown instructions and a hands-on monthly reporting case.
One ZIP download includes PDF + MD + CSV files. Read the guide, copy the prompts, work with the dummy data and compare your calculations with the answer key.
A clear route from data to controlled workflows
1. Trusted data
Clean and map inputs, preserve the source trail, and reconcile every adjustment.
2. Financial analysis
Build an EBITDA bridge and separate observed changes from unverified causes.
3. Scenario models
Make volume, price, unit cost and fixed-opex assumptions visible and testable.
4. Repeatable workflows
Write inputs, outputs, owners, stop rules and review steps into a reusable runbook.
5. Connected agents
Specify narrow tool permissions, finite run limits and human approval before release.
6. Reliable operations
Use a test set, exception log and named owner to keep the process accountable.

What is inside the ZIP?
- AI_Finance_Roadmap.pdf: a 25-page illustrated guide, six learning stages, full prompts, practice tables, worked results and readiness criteria.
- Prompt_Pack.md: eight copy-ready instructions for scoping a task, data cleaning, variance analysis, sensitivity modeling, runbooks, a bounded-agent blueprint, independent review and management summaries.
- Three CSV files: fictional actuals, budget and an account map. The actuals contain an exact duplicate so you can practice a traceable correction.
- Expected_Results.md: the correct P&L totals, budget-to-actual bridge, volume scenarios and stress tests.
- Readiness_Checklist.md: evidence to collect before you expand the workflow or release an output.
- START_HERE.md: the short getting-started instructions and file index.
The archive contains one PDF, four Markdown files and three CSV files. The eight prompts are sections within Prompt_Pack.md.
Practice with a case you can check
Work through a fictional October reporting case in USD. Clean 36 source rows down to 35 retained records, explain why EBITDA moved from a $55,000 budget to a $40,000 actual result, and test a volume sensitivity with explicit assumptions.

How to use the pack
- Open the PDF and choose the first stage where you cannot yet demonstrate a checked output.
- Open the Markdown prompt pack in a text editor. Copy the relevant instruction into your approved AI assistant and use the supplied dummy CSV data.
- Inspect the calculations and compare them with the worked answers. Keep observed facts separate from assumptions.
- Record the checks, reviewer and unresolved exceptions before extending the process or giving an agent more access.