Why PE-Backed CFOs Are Becoming Transformation Leaders

The CFO’s core mandate has long been clear: Protect the financial health of the business. Manage liquidity. Maintain controls. Close the books. Deliver accurate reporting and forecasts. Support lenders and the board.

Those responsibilities haven’t gone away. But for CFOs in private equity-backed companies, they’re increasingly the starting point rather than the full job.

Today, more of the value created during a PE hold must come from improving how the business operates. Growth needs to translate into profitable growth. Cost programs need to produce sustainable savings. Acquisitions need to deliver their expected synergies. Technology investments need to improve productivity or performance. And management teams need to show clear evidence that those improvements are reaching EBITDA, cash, and ultimately enterprise value.

CFO transformation is not simply about modernizing the finance function. It’s a shift from primarily reporting on business performance to helping shape it.

CFOs create more value when finance gets involved earlier

Traditional finance explains what happened. Transformation finance helps shape what happens next.

That doesn’t mean the CFO needs to run pricing, supply chain, sales, technology, or HR. It means finance needs to bring an economic lens to the decisions those functions make early enough to influence the outcome.

Consider a growth initiative. Revenue alone doesn’t tell the CFO whether the company is creating value. Finance should test that growth against margin, cash requirements, and the quality of the underlying customer and product mix.

The same thinking applies across the business. A labor decision should connect staffing and overtime to productivity and service. A working-capital initiative should identify the operating behaviors trapping cash, not simply set a target. A technology investment should be clear about whether it will remove work, free capacity for higher-value activities, improve performance, or simply add another layer of cost.

Let the Value Creation Plan Determine What Gets Transformed

For a PE-backed company, transformation shouldn’t start with a generic list of finance or technology initiatives. It should start with a more basic question: How is this business expected to create value?

The answer should determine where the CFO focuses first.

A buy-and-build strategy may require common KPIs, disciplined integration, synergy tracking, and a close and forecast that can scale with each acquisition. Margin expansion requires a clear view of customer, product, site, or channel economics. A carve-out puts a premium on quickly establishing independent finance, data, controls, and systems. A growth thesis requires stronger forecasting, unit economics, and cash management.

The CFO’s job is to translate those priorities into a manageable roadmap—and be disciplined about what happens first.

One simple framework is especially useful:

• Fix. Remove defects, rework, exceptions, unclear ownership, and unnecessary manual effort.
• Standardize. Make the improved process work consistently across the business.
• Automate. Apply workflow, analytics, or AI once the process, data, controls, and decision rights are stable enough to support it.

The order matters. Standardizing a broken process replicates the defect. Automating it makes the defect faster. Outsourcing it can make the problem contractual.

AI makes that discipline even more important.

Use AI to transform finance work, not add another tool

AI is accelerating CFO transformation because it forces companies to answer a practical question: Are we actually changing how work gets done, or simply putting new technology on top of old processes?

West Monroe’s Building the AI-Native Enterprise research found that 54% of organizations report faster decision-making from AI, 51% report cost reductions, and 42% report new revenue opportunities. Yet many organizations are still struggling to turn those gains into lasting financial results.

Finance use cases should start with the business metric, not the model. Can AI shorten the close, improve forecast accuracy, accelerate collections, or identify margin leakage sooner? From there, CFOs can work backward to determine what needs to change in the process, data, ownership, and controls—and where the financial benefit should show up.

Governance can make an AI use case controlled. It doesn’t make it valuable.

The same standard should apply to every transformation investment: What changed in the business, and what financial metric moved?

Transformation only counts when value reaches the business

Transformation programs often count projected savings, productivity, or synergies long before those benefits reach the business.

CFOs should impose a harder standard. Every material initiative needs a baseline, an accountable owner, a realization date, and a clear financial destination. A saving that has not been reflected in a budget owner’s plan has not been captured. It remains a forecast.

Finance also needs to distinguish between an opportunity that has been identified, an action that has been committed, run-rate value, realized P&L impact, and cash. Without that discipline, benefits can be double-counted, absorbed by inflation, offset by reinvestment, or simply disappear elsewhere in the business.

That evidence matters throughout the hold—and becomes especially important at exit. Buyers will ultimately underwrite results, not transformation activity. Clean financials, stable KPI definitions, credible forecasts, traceable synergies, and evidence behind performance improvements all contribute to the story a company can defend in diligence.

The CFO should be building that record from the beginning. At the next board cycle, start with three questions:

• How is this business expected to create value?
• Can the most important priorities be traced to an owner, operating metric, and financial outcome?
• Can management show that the value is actually being realized?

Then identify one finance workflow where AI or automation could materially change how the work gets done, not simply make the existing process a little faster.

If those answers aren’t clear, the company doesn’t need a longer transformation list. It needs a more focused one.

Authors: Connor Augustyn, Derek Sappenfield, Keith Campbell