# Training a CFO on AI Tools: The 90-Minute Starter

> A practical 90-minute starter for getting your CFO from skeptic to first AI automation — covering close, FP&A, AR/AP, and vendor reviews. Built for 30-500-employee SMBs.

- Author: Yaroslav Maxymovych (Founder & CEO, AI Advisory Board)
- Published: 2026-05-08
- Updated: 2026-10-07
- Source: https://aiadvisoryboard.me/blog/training-cfo-on-ai-tools

When a founder of a 140-person services firm told me her CFO was "too senior for the AI thing," I asked what he did Mondays. Three hours of variance commentary. We started there. Ninety minutes later he had a first draft generator running.

## TL;DR

- Most CFOs don't need a course; they need 90 focused minutes against one painful artefact (variance, AR aging, vendor pack).
- Train on outputs the CFO already signs — not generic "prompt engineering" decks.
- Pair the CFO with one senior FP&A analyst as their AI Champion; ratio 1:15-20 is empirically what sticks.

## Why CFOs are a special training case

Your CFO is paid to be skeptical. That's a feature, not a bug. The mistake I see SMB owners make is sending the CFO to a generic "AI for executives" workshop, where the examples are marketing copy and customer chatbots. None of that maps to what a CFO actually owns.

A CFO's day is variance commentary, AR review, vendor evaluations, board memos, audit prep, covenant tracking, and the occasional fire-drill (failed payment, surprise tax notice, missed forecast). Every one of those is a high-context, high-stakes text task — which is exactly where modern LLMs help most when used correctly.

> **Definition:** Augment, don't replace — the AI drafts; the human signs. The CFO never publishes raw model output to the board.

The 90-minute starter below assumes nothing technical and produces one shippable artefact by minute 90. It is not theory.

## What does a 90-minute CFO starter look like?

The session has three blocks of 30 minutes each. You sit shoulder-to-shoulder with the CFO; one of you drives the keyboard, the other narrates.

### Block 1 (0-30 min): the variance commentary draft

Pull last month's actuals vs budget at the GL-account level. Paste the table into the chat tool with this prompt:

```
You are an FP&A analyst writing variance commentary for a [INDUSTRY]
company with [X] FTEs and ~$[Y]M revenue. Below is actuals vs budget
for [MONTH]. For each line >5% variance, write 1-2 sentences in the
voice of a CFO memo: state the variance, the most likely 2 drivers
based on the data, and what we should ask the owner of that GL.
Do NOT fabricate causes that aren't in the data. If a driver is
uncertain, write "needs owner input" and propose the question.
Output as a markdown table: GL | Variance % | Commentary | Question.
```

Two things happen here. First, the CFO sees the model produce 80% of a memo he already writes — which collapses skepticism faster than any pitch deck. Second, the "needs owner input" guardrail teaches the model is a draft tool, not an oracle.

> **Tool tip (Course for Business):** Our 6-week program runs CFOs and their FP&A teams through this exact exercise on day 1, then layers in close acceleration, AR triage, and board-pack drafts. The framing is **Augment, don't replace** — the CFO never ships raw output, but starts every artefact from a 70%-done draft. Pairing one **AI Champion (1:15-20)** inside finance is what makes adoption stick after the workshop. → https://course.aiadvisoryboard.me/business

### Block 2 (30-60 min): AR aging triage

Export AR aging. Have the CFO ask the model to cluster customers by behavior — chronic late payers, recently-slipped, healthy — and draft a tiered email sequence. The CFO immediately sees the value isn't in writing each email; it's in the segmentation logic he'd otherwise eyeball.

A $1B logistics company famously took its invoice-processing function from 7 to 2 FTEs after a similar redesign — that's the magnitude of upside, but only after the CFO understands the workflow personally. (See disclosure note.)

### Block 3 (60-90 min): vendor evaluation

Pick a real RFP response sitting in the CFO's inbox. Ask the model to summarize, flag risks, propose a comparison rubric, and draft questions for the vendor. By minute 90, the CFO has used the same tool three different ways on three real artefacts.

## How do you keep momentum after the 90 minutes?

Three rules:

1. The CFO does not learn alone. Pair them with one FP&A analyst as the finance team's **AI Champion**, ratio 1:15-20 inside the function.
2. Pick one weekly artefact (variance, board memo, cash forecast) and commit to drafting it AI-first for 6 weeks.
3. Schedule a 30-minute Shoulder-to-Shoulder session each week where the CFO and Champion review what worked, what didn't, what shipped.

> **Definition:** Shoulder-to-Shoulder — a working session where two people share one screen, one keyboard, and one real artefact. Not a demo, not a webinar.

BCG's 2025 AI Radar found ~78% of orgs have deployed AI but only ~25% see meaningful value. The gap is almost entirely on the people-and-process side (BCG's 10-20-70 framing). For a CFO, "people-and-process" means you, them, and one Champion in a room every week for six weeks.

## Team scan (what AI champions report after week 1)

A typical 30-500-employee finance team after week 1:

- **Adoption:** CFO + 1 FP&A Champion using the tool daily; 2-3 others experimenting
- **Use case #1:** variance commentary draft — saves ~60-90 min/month
- **Use case #2:** AR follow-up email tiering — saves ~2 hours/week
- **Use case #3:** vendor pack summarization — 30 min instead of 2 hours
- **Use case #4:** board memo bullet draft — 45 min instead of 3 hours
- **Use case #5:** policy / contract clause comparison
- **Friction:** "the model is confidently wrong on numbers" — fixed by pasting tables, not retyping
- **Risk flag:** confidential data uploads — 46% of employees have done this on public tools; finance must use approved-tier tools only
- **Saved time:** typically 4-6 hours/week per CFO once Champion is up
- **Honest miss:** close acceleration takes 6-8 weeks, not week 1

> **Tool tip (Course for Business):** Most CFOs we train inside the **6-week program** end week 1 with one shippable artefact and end week 6 with a full set: variance memo, board pack, AR sequence, vendor rubric, FP&A model commentary. The CFO becomes the audit-trail owner; the FP&A Champion becomes the workflow owner. **Augment, don't replace** is the default posture. → https://course.aiadvisoryboard.me/business

## Micro-case (what changes after 7-14 days)

A typical 200-FTE professional-services firm trains its CFO and senior FP&A analyst together on day 1. By day 7, the variance commentary that used to consume 3 hours every Monday is a 45-minute review of an AI-generated draft. By day 14, the AR aging triage runs weekly instead of monthly, and DSO drops by 4-6 days because the chase emails actually go out. The CFO stops being the bottleneck on the board pack — drafts arrive Friday, signed Monday. Total CFO time saved: roughly 5 hours/week. Total FP&A time saved: roughly 8 hours/week. Most of that gets reinvested in scenario modeling that nobody had time for before.

> **Note on this case:** This example is illustrative — based on typical patterns we observe with companies of 30-500 employees, not a single named client. Specific numbers are rounded approximations of common ranges, not guarantees.

## FAQ

**Should the CFO learn to "prompt engineer"?**
No. The CFO learns to delegate to the model the way they'd delegate to a junior analyst — with context, constraints, and a clear deliverable format. That's it. The deeper craft sits with the FP&A Champion.

**What about confidential financial data?**
Use enterprise-tier tools with no-training data settings, or self-hosted options. 46% of employees have uploaded confidential data to public AI tools — your CFO is the right person to set the rule, but only after they've used the tools themselves and understand what's actually risky.

**Will this replace headcount?**
Not in finance, not yet. The realistic pattern is the same FTEs doing more (scenario work, faster close, better vendor diligence). The $1B logistics 7→2 FTE example is invoice-processing — a specific, repetitive workflow, not the CFO's job.

**How is this different from sending the CFO to a generic AI exec course?**
Generic courses optimize for awareness. This optimizes for one shippable artefact in 90 minutes. BCG found programs under ~5 hours produce no behavior change — but a 5-hour program built around the CFO's actual artefacts beats a 40-hour generic one.

**What if the CFO refuses?**
Then start with the Controller or Head of FP&A and let results speak. CFOs who watch their own team ship in week 1 typically join in week 2-3. Forcing it doesn't work.

## The takeaway

CFOs are not hard to train — they're badly trained. Ninety minutes against a real variance file beats a week of generic content. Pair the CFO with one Champion, run six Shoulder-to-Shoulder sessions, and finance becomes the most AI-mature function in the company faster than marketing. The hard part isn't the tool; it's choosing the artefact and showing up for six weeks.

Next step: pick the one artefact your CFO produces every week that they hate the most. That's the starter file.

If you want every employee — including your CFO — to ship their first AI automation in five days, book a 30-min call and we'll map your finance team's first week. → https://course.aiadvisoryboard.me/business

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