Modern finance operating model with AI

How do you fix an outdated operating model and serve an organization that needs everyone to move faster and deliver more value?

That’s the urgent challenge for CFOs today. The business expects finance to support decision-making with the precision and speed that modern markets demand—without increasing operational costs or adding headcount. But most finance teams are still bogged down by manual workflows, stubborn data bottlenecks, and reporting cycles built for a different era.

The result: too much time spent reconciling yesterday, and not enough time shaping tomorrow. And every new capability—AI, automation, advanced analytics—raises expectations further, while finance’s traditional model struggles to keep up.

Leading CFOs are responding with practical moves that steadily evolve how finance operations work. They’re strengthening the digital foundation, rethinking people and processes, and creating the flexibility to continuously improve without asking the rest of the organization to “wait up.” Increasingly, they’re also realizing they don’t have to do it all in-house—leaning on finance managed services providers to deploy specialized, technologies and outsourced operations that sustain progress over time.

Here’s a closer look at four moves CFOs can make to increase speed, confidence, and control—and recalibrate their operating model for a new era of operational efficiency and cost optimization.

If you’re ready for a finance operating model that improves continuously without forcing your organization into an endless rebuild cycle, we’re ready to help. Explore what that could look like by diving deeper into our Finance services and products.

Digital finance Finance as a Service

A modern finance operating model syncs up your workflows, governed data, automation, and insight to help your team move faster. By baking AI in finance right in, they’ve shifted their finance operating model into a continuous engine for better decisions and tighter control.

Move #1: How CFOs can make the work flow

Finance work still gets stuck in handoffs, manual reviews, and exception backlogs spread across teams and systems. That friction slows cycles and forces teams to spend too much time chasing status and validating inputs.

The move: Make AI the foundation of finance’s operating system—the orchestration layer across workflows from transaction to close to reporting. Automate routine work, surface anomalies early, and route exceptions to the right people with the right context. The payoff is more consistent execution and stronger control, without month-end heroics.

Making it happen: Many CFOs accelerate this through managed operations and finance managed services that embed proven workflows and continuously improve them. This helps deliver:

Tighter connectivity across transaction processing, close, and reporting
More consistent controls through automated checks and exception-based reviews
More capacity for finance teams to focus on decision support and value drivers

50% Faster

Clients using the KPMG Digital Finance platform have accelerated finance processes by as much as 50%.¹

Move #2: How CFOs can make the data work

Finance teams lose time and confidence when core data is inconsistent across systems and definitions vary by team. Reporting becomes an exercise in cleanup, not insight—often driven by accumulated tech dept.

The move: “Our data is a mess” can’t be the reason finance stands still while the business works around them. Data is a primary operational asset. Strengthen governance, automate validation, and standardize the core model. Use AI to extract the data you need, bypass legacy quagmires, and improve quality over time—not all at once.

Making it happen: Managed platforms can help define standards, automate checks, and streamline ongoing stewardship. Data improves as part of the operating rhythm, not as a one-time cleanup project. This helps deliver:

More consistent definitions and fewer recurring data issues
Faster reporting with less manual preparation
Higher confidence in dashboards, forecasts, and decisions

15%

Clients have seen a 15 percent reduction in data quality issues...

50%

...and 50 percent more accurate forecasts via the KPMG Finance as a Service offering.

Move #3: How CFOs can make finance faster

Finance still runs on monthly and quarterly rearview-mirror cycles. The business does not. Explaining what happened still matters, but not at the expense of shaping what comes next.

The move: Shift from close-and-report to a more continuous cadence that improves workforce efficiency and employee productivity. Automate transaction processing, validation, and reconciliations so performance signals flow daily—not weeks after the fact. Over time, finance builds a rhythm where issues surface earlier, decisions happen faster, and the close becomes a confirmation step, not a fire drill.

Making it happen: Many CFOs get there faster by subscribing to an AI-enabled finance platform managed by a partner, so the stack stays current without a multi-year build or ongoing upgrade delays. This helps deliver:

Faster visibility into performance with fewer reporting bottlenecks
Earlier detection of issues, which helps reduce audit surprises and panic-mode closing cycles
A scalable cadence without scaling headcount

2x faster

The KPMG Digital Finance approach has helped clients stand up advanced data and analytics capabilities at twice the speed of typical multi-phase deployments.²

Move #4: How CFOs can make finance a partner

When capacity is consumed by producing reports and resolving manual exceptions, business partnering gets squeezed. Finance becomes reactive when the business needs guidance.

The move: Redesign roles and workflows around judgment and decision support. As automation expands, finance can shift efforts toward interpreting signals, managing exceptions, and governing AI-enabled processes with confidence.

Making it happen: CFOs pair role redesign with managed delivery approaches that stabilize execution and reduce operational drag. This helps deliver:

Clearer talent profiles—shifting focus away from manual preparation and toward forward-looking analysis, exception oversight, and strategic decision support
A finance team that’s leaner in form, broader in influence, and inseparable from the enterprise it serves

80% Faster

KPMG research projects that up to 80 percent of finance activities will be automated and AI-enabled in the future.⁴

CFO modernize finance ai and managed services

These four moves need more than just isolated tools. A cohesive finance platform provides the unified operating foundation necessary to sync workflows, governed data, automation, and insight. CFOs are turning to managed finance platforms to advance their operational capabilities without the stress of a full ERP replacement.

That’s where KPMG Digital Finance comes in. Built as a subscription-based, finance managed services platform, it brings together the technology backbone finance needs—automation, governed data, controls, and insight—without placing the full burden of implementation, maintenance, and ongoing upgrades on internal teams. The intent is sustained momentum: modernize the platform, embed AI into day-to-day workflows, and keep improving over time. This managed platform has helped clients reduce total cost of finance operations by 20 percent and accelerate processes by 50 percent.³

20%

reduction in total cost of finance operations

50%

acceleration in processes

For organizations that want to take the next step and reduce the load of running finance operations end to end, KPMG Finance as a Service extends that foundation through a fully managed delivery model. It’s designed for leaders who want broader coverage across core finance activities, supported by consistent controls and performance management, while freeing internal capacity to focus on decision support and business partnership. Depending on the client’s environment and goals, the managed support can run on existing platforms or be paired with a modern managed platform approach.

The point is speed with staying power: a finance operating model that improves continuously without forcing the organization into an endless rebuild cycle. If you’d like to explore what that could look like for your finance function, we’re ready to help.

Footnotes

1 & 3: Based on historical KPMG client results and implementation data. Process acceleration and cost reduction metrics are illustrative of realized outcomes; actual results will vary.

2: Comparison based on typical industry timelines for multi-phase ERP implementations versus the KPMG Digital Finance pre-configured platform deployment methodology.

4: Source: KPMG Future of Finance: Remaking Finance with AI.

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