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What a fractional CFO can work on

No engagement covers all of these at once. Most start with the one or two areas causing the most pain and widen from there. Here are the main areas, with the kind of situation where each one comes up.

Planning and forecasting

A 90-day, full-year and three-to-five-year view of revenue, hiring, cash and investment, with scenarios for downturns and expansion. The point isn't to predict the future perfectly. It's to know in advance what you'll do if things go better or worse than planned.

For example: a company planning to open new locations models what each one costs before it breaks even, and how many it can open at once before cash gets tight.

Cash flow and liquidity

Knowing your cash position at all times and extending runway. Profit and cash are not the same thing, and growing businesses often run short of cash precisely because they're growing.

For example: a weekly 13-week cash forecast shows a squeeze two months out, early enough to change payment terms or arrange a credit line instead of scrambling.

Margins and costs

Unit economics, pricing and cost structure review. Averages hide a lot. Breaking results down by product, customer or location usually shows that some of the business carries the rest.

For example: a service business finds that one customer segment is unprofitable once support time is counted, and reprices it rather than cutting staff.

KPIs and dashboards

Choosing the few metrics that matter and reporting them regularly. Ten numbers that leaders look at every month beat fifty that nobody reads.

For example: a leadership team replaces a long monthly report with a one-page dashboard of leading indicators, so problems show up before they reach the income statement.

Data, analytics and AI

Using modern tools to forecast and spot risks earlier. Many companies already have the data; it just lives in separate systems that don't talk to each other.

For example: connecting sales pipeline data to the financial forecast so revenue projections update automatically instead of being rebuilt by hand each month.

Capital and investors

Financial models, lender and investor materials, and due diligence preparation. Lenders and investors look for numbers that tie together and a story that matches them.

For example: before approaching a bank for a larger facility, a company prepares a model and a short package that answers the lender's questions before they're asked.

M&A and exits

Valuation, diligence, negotiation and integration. Deals are won or lost on the details, and much of the value is created or lost in the months after closing.

For example: an owner thinking about selling in two or three years starts cleaning up the financials and documenting the business now, so a buyer's diligence goes smoothly.

Finance systems

Processes and tools that scale as the business grows. Spreadsheets and manual work that were fine at one size become a risk at the next.

For example: a company adding a second entity sets up the accounting system and close process to handle both, rather than combining spreadsheets every month.

Advising the CEO

An experienced sounding board for major decisions. Sometimes the most useful thing a CFO does is ask the question nobody else in the room is asking.

For example: before signing a long-term lease or a major hire, the CEO walks through the numbers and the downside with someone who has seen similar decisions play out.

On the operational side

The numbers often point to problems that sit outside finance: sales and marketing spending that doesn't pay off, customers who leave faster than they should, or work that costs more than it needs to. Two guides cover these in more depth:

Analytics and business intelligence connect the two sides. The KPIs and dashboards and data, analytics and AI sections above apply to sales and operations as much as to finance: choosing the few metrics each team needs, and connecting the data so everyone works from the same numbers.