Courses Curriculum Cities Blog Enroll Now
AI for Finance · Day 5 of 5 ~40 minutes

Day 5: Building Your Finance AI Workflow

Individual prompts are useful. A repeatable workflow that runs every month-end, every budget cycle, every board meeting is transformational. Build yours today.

1
Day 1
2
Day 2
3
Day 3
4
Day 4
5
Day 5
What You'll Build

A complete monthly finance AI workflow: a close process checklist, a report generation sequence, and a prompt library you can use every month — turning a 3-day close into a 1-day close over time.

1
Section 1 · 10 min

Map Your Monthly Finance Calendar

Every finance role has a rhythm. The close happens every month. The board deck happens every quarter. The budget happens once a year. AI pays the highest dividend on tasks you do repeatedly — so the first step is mapping your calendar and identifying the recurring documentation work.

textMonthly Finance Calendar
Close Week (Days 1-5):
  D1-2: Reconciliations, accruals, intercompany
  D3-4: Financial statements, variance analysis
  D5:   Management report, executive summary
  → AI value: variance commentary, exec summary, narratives

Mid-Month (Days 6-15):
  Forecast updates, cash flow projections
  → AI value: scenario narratives, cash commentary

Late Month (Days 16-28):
  Next month budget reviews, board prep
  → AI value: talking points, risk narratives, summaries

Identify: where do you spend 2+ hours on writing/narratives?
Those become your AI automation targets.
2
Section 2 · 10 min

The Month-End Report Sequence

Build a sequence — a set of prompts you run in order every month. Not one massive prompt. A structured flow where each output feeds the next.

textMonthly Reporting Sequence
Step 1: Variance Commentary
  Input: actual vs budget table + context notes
  Output: 3-paragraph commentary per department

Step 2: Executive Summary
  Input: Step 1 outputs + key metric table
  Output: 200-word exec summary (conclusion first)

Step 3: Board Talking Points
  Input: Step 2 + slide titles
  Output: speaker notes per slide with Q&A prep

Step 4: Next-Month Outlook
  Input: current results + pipeline/forecast data
  Output: 150-word forward-looking section

Total AI time: 20-30 minutes
Total manual time replaced: 4-6 hours
3
Section 3 · 20 min

Build Your Finance Prompt Library

Create a document: "Finance AI Prompt Library." Structure it by use case. Here are the 8 prompts every finance professional should have ready:

  1. Variance Commentary — department-level narrative from actuals vs budget
  2. Executive Summary — 200-word conclusion-first report summary
  3. Board Talking Points — speaker notes with Q&A prep per slide
  4. Devil's Advocate Review — challenge assumptions in any financial plan
  5. Scenario Narratives — bull/base/bear case business logic
  6. Control Documentation — SOX-style narrative from process description
  7. Audit Inquiry Response — professional factual response draft
  8. Risk Register Starter — initial risk identification by category

For each, document: the prompt template, what context to provide, what to review before using the output, and examples of good vs. poor output. This library becomes institutional knowledge — not just for you, but for anyone who joins the finance team.

Time tracking discipline: For the first 3 months of using AI in your workflow, log the actual time saved per task. This becomes the business case for enterprise AI tool adoption — and it's usually compelling. Finance teams that track this consistently report 40-60% reduction in reporting preparation time.

What You Learned Today

  • How to map your finance calendar to identify the highest-value AI automation targets
  • The monthly reporting sequence: run four prompts in order to replace 4-6 hours of writing work
  • The 8 core prompts every finance professional should have in their prompt library
  • Why time tracking early creates the business case for enterprise AI adoption
Your Challenge

Go Further on Your Own

  • Run your next month-end close using the four-step sequence. Log actual time vs. estimated time for each step.
  • Share your prompt library with one finance colleague. Have them adapt it for their role and report what they changed.
  • Calculate the annualized time savings from your AI workflow. If you save 5 hours/month, that's 60 hours/year — what's that worth in salary terms?
Day 5 Complete

Course Complete!

You finished all 5 days. Ready to go deeper?

Reserve Your Bootcamp Seat
Course Progress
100%

Want live instruction and hands-on projects? Join the AI bootcamp — 3 days, 5 cities.

Finished this lesson?