CFO

CFO Risk Management in a Fractured Global Order

Looking ahead to the second half of the year, corporate finance chiefs are hardwiring contingency into strategy.

Global corporate finance leaders are entering the second half of 2026 facing the most complex operating environment of the post-pandemic era, requiring them to balance cost discipline, technology investment, and capital deployment against a backdrop of geopolitical volatility and renewed energy uncertainty. 

At the center of that uncertainty is the Strait of Hormuz. Normally a conduit for around 20% of global oil and liquified natural gas (LNG) exports, the strait has remained largely blocked since war broke out in the Middle East in late February. 

The conflict has added a new shock layer to an environment that was already fragile as a result of tariff turbulence, weakening demand, and declining consumer confidence. 

The consequences for corporate finance professionals are direct and serious, forcing teams into defensive mode: conserving cash, deferring capital investment, and stress-testing portfolios against prolonged geopolitical disruption. 

Macro Shocks Add Strain

Cost pressures were already elevated before the war, and are continuing their upward trajectory. According to the ACCA and IMA Global Economic Conditions Survey (GECS), the further rise likely reflects some early impacts of the surge in energy and other commodity prices since the outbreak of hostilities in the Persian Gulf. Among the CFOs surveyed, the proportion reporting increased operating costs eased slightly in the first quarter of 2026, but remains high by historical standards.

Confidence across finance teams, meanwhile, fell sharply in the first quarter, taking sentiment to a low point previously seen only at the onset of the Covid-19 pandemic in 2020. Since the GECS survey was conducted in the first half of March, the outbreak of hostilities would have been a major factor weighing on sentiment, owing to the surge in geopolitical uncertainty and the price jump in energy and some other commodities.

Logistics and energy are the most immediate concerns, according to findings of the Allianz Trade survey of 6,000 companies across 13 major economies: 60% said they are worried about supply chain disruption and rising commodity prices, with concern running highest in Vietnam, Poland, the UK, and the U.S.

One consequence of the war-induced shocks is that businesses are holding more inventory, adding to liquidity demand at precisely the moment rates are falling more slowly than expected, if at all. 

Beyond Hedging

When it comes to sustaining readiness in the months ahead, Naresh Aggarwal, associate director, Policy and Technical at the Association of Corporate Treasurers, says the framework is simple: “plan for the worst, hope for the best.” In practice, this means larger, more committed credit facilities, greater use of derivatives, and hedge duration adjusted to circumstances.

Alex Ashby, group treasurer, WPP
Alex Ashby, group treasurer, WPP

The effects of the war are extending far beyond the energy, shipping, and chemical manufacturing sectors. Alex Ashby, group treasurer at WPP, says the ongoing volatility has driven material change at the global media company. 

“Geopolitical volatility has led us to materially step up our focus on foreign exchange risk management,” he notes. “We have invested heavily in training across the organization to raise capability and accountability and introduced new monitoring and reporting so that FX exposures and outcomes are reviewed regularly at executive and board level. Alongside more frequent liquidity stress-testing, this ensures risks are identified earlier, decisions are taken closer to the underlying exposure, and we remain agile as conditions evolve.”

The world remains deeply interconnected, says Raphael Savalle, CFO at Montblanc, and so shocks travel fast and wide. Businesses are no longer operating in a world where companies can remove volatility by hedging, but one where operating models must be built to absorb it.

“This isn’t going away; if anything, it’s increasing,” he says. “It’s the butterfly effect, times 10. The key is to maintain long-term strategic direction while also building agility into how you operate – what I call dynamic P&L management, or dynamic resource allocation – and still be on the lookout every day for risks that may not at first seem relevant but turn out to be, because of the way the world is connected.”

What impact will this level of uncertainty have on the day-to-day in the coming months? Beyond a structured routine of information exchange, it demands the confidence to be candid about these less-obvious risks.

Reassessing the Tech Arsenal

The challenges of the coming months are also prompting some companies to review their technology needs. ERP systems are still the backbone of corporate finance, but their rigidity is fueling demand for smarter, more flexible tools to augment them. 

Enterprise Performance Management (EPM) platforms are emerging as a viable contender, says Armand Angeli, AI and automation specialist and vice president of the Digital Transformation and AI Group at DFCG, the French network of CFOs, broadening their scope beyond finance to cover sales, purchasing, and logistics. 

Major ERP transformation projects are stalling as companies wrestle with legacy integration, Angeli says; bridging old and new without discarding existing investment remains the central challenge. 

“We can’t just abandon ERP,” he says. “We have to create bridges or APIs between AI tools and all the ERPs. So the question becomes, How do you create these bridges? It’s not easy.” While ERPs can be inflexible, they are still valuable tools, “thought through by experts, for CFOs.” 

While the major ERP providers are working to embed AI in their offerings, corporate users are taking different routes, depending on individual views and budgets. In practice, then, AI adoption by corporate finance teams is advancing with extreme caution. 

“If the pace of change for these tools is 100, the pace of change among individuals is 10, and for companies, it’s 1,” Angeli observes.

Predictive AI, built on auditable algorithms, has earned trust as a tool for reconciliations, fraud detection, and cash posting, while generative AI remains a source of deep skepticism. Hallucinations, compliance failures, and the risk of over-reliance are tangible concerns. 

“We now see more and more suspicious posting, more and more duplicate payments,” says Angeli. 

Agentic AI is further still from meaningful deployment, he adds: “CFOs don’t trust agentic AI. And given that studies show that hallucinations account for between 30% and 70% of Gen AI output, we don’t trust Gen AI, either. Maybe 1% or 2% of companies can say they have agents working.” 

Aggarwal concurs, observing that corporate finance teams remain in the exploratory phase when it comes to AI, but with purpose. Companies are mandating structured upskilling; One treasury team of his acquaintance dedicates half a day every other week to some form of AI-related upskilling or evaluating AI processes, he says. 

Data Integrity

The priority for the second half of this year, however, will be data integrity and learning which insights are genuinely actionable, Aggarwal predicts; truly agentic AI is a story for 2027.

Raphael Savalle, CFO, Montblanc

“The word I hear a lot in these circles is trust: trusted data, trusted algorithms, trusted outputs, trusted use of the outputs,” he says. Going forward, the deeper cultural question of if and when to remove the human from the loop will become harder to avoid as, presumably, AI systems accumulate error-free track records.

Progress may be cautious for now, but Gartner estimates that CFOs who get AI deployment right could unlock 10 additional margin points by 2029. It won’t be isolated pilots that deliver returns, however; the gains will come from managing technology as a portfolio. Three quarters of CFOs are already raising technology budgets for 2026, the research firm finds, with nearly half boosting them by 10% or more.

Quantifying return on investment is difficult for the majority of AI-based projects, however, and will continue to be so through this year, Angeli predicts: “We know that we have to implement AI and hope for financial ROI in the future, but most companies are not seeing it yet.” 

Another aspect of the technology challenge that is intrinsically linked to wider geopolitical developments, says Montblanc’s Savalle, is digital sovereignty, or a nation’s ability to control, secure, and regulate its entire infrastructure: in accordance with its laws, but also its strategic interests. Different approaches to the governance of these technologies and the accompanying data have deepened geopolitical competition between the U.S., China, and the EU, according to the World Economic Forum.

“Many governments are now insisting that data centers sit within their own borders,” Savalle warns, “and increasingly, they’re looking at software dependency more broadly: not just AI, but email systems, video conferencing tools, the whole stack. As a CFO, you have to consider what that means for your IT architecture.” Under these circumstances, will the old ambition of a single global ERP still be viable in five years’ time? He is not so sure.

Permanent Contingency Thinking

Whether physical war or digital friction, geopolitical risks are forcing the finance function into a state of permanent contingency thinking. The closing of the Strait of Hormuz is an extreme case, but it sits within a pattern that was already familiar to CFOs and treasurers. The post-Covid supply chain collapse, the Russia-Ukraine war’s impact on energy and commodities, the Red Sea disruptions of 2024–25 — each forced treasury teams to rethink counterparty risk, liquidity buffers, FX exposure, and supply chain financing.

What’s different this time is that finance leaders are no longer treating the shocks as exceptional. 

Aggarwal sees the broader geopolitical realignment as structural rather than cyclical, and doubts even a change in US administration can reverse it: “The genie is out of the bottle around using trade as a way of imposing sovereignty.” Looking ahead, he foresees continued pressure on the finance function to operate against a challenging backdrop.

“What I understand from my CFO network is that there is no going back,” Savalle observes. “This is the new normal, and, if anything, it will continue and expand. So the question is about how you adapt your operating model. Make sure that you get that feedback loop and keep an open mind, because you are going into uncharted territory. Things used to work in a certain world order. This is changing.” 

For corporate finance leaders, the priority is no longer waiting for stability to return, but operating effectively in its absence. While keeping to a long-term strategy is vital, so is reconsidering some of the operating model assumptions that a world divided into regional blocs is calling into question. That could include maintaining higher liquidity buffers, diversifying supply chains geographically, stress-testing cash flow forecasts against energy price scenarios, and investing in planning and forecasting tools that allow the organization to model disruption faster. 

For the corporate finance function, these are no longer crisis measures, but the baseline. 

This article appears in the June 2026 issue of Global Finance Magazine.

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CFO Corner: Max Williams, EnergyPathways

The man financing Britain’s clean energy future on doubt, policy risk, and the things no CFO can control.

As CFO of one of Britain’s most ambitious clean energy projects, EnergyPathways’ Max Williams has learned that securing capital is only half the job.

Since joining the firm in April 2025, Williams has been overseeing the finances of MESH, an £800 million offshore hub on the Lancashire coast set to combine long-duration energy storage, gas, and green hydrogen production in a single integrated facility.

With MESH still in the pre-FEED stage, the challenge lies not just in raising capital but in keeping government, institutional investors, and industry partners moving in lockstep toward a Final Investment Decision — and ultimately, execution.

A seasoned Chartered Accountant with three decades in energy and natural resources, Williams spoke with Global Finance about financing a first-of-its-kind project, the politics of clean energy, and what keeps him awake at night.

Max Williams, CFO, EnergyPathways

Global Finance: What is your main achievement leading finance at EnergyPathways (EPP)?

Max Williams: EPP is developing a unique solution for energy storage and supply to support Britain’s energy transition. The project, called Marram Energy Storage Hub (MESH), combines long-duration energy storage (LDES) and gas storage, while also growing hydrogen industries using its offshore storage facilities. The ability to drive the project forward has depended in the early stages on reliable and continuing support from equity shareholders who understand and believe in the company’s focus.

The signing of a financing agreement with a global institutional investor was an important step in the company being able to accelerate its pre-FEED (Pre-Front End Engineering Design) work program on both its LDES and gas storage license elements of its project. Our ongoing engagement with government, industry partners and banks will provide further significant funding to progress the project to and beyond the Final Investment Decision (FID). The company designed the full project to minimize government subsidies.

GF: What is the biggest challenge in funding operations for MESH, an £800 million integrated offshore facility in the UK (near the Lancashire coast)? What is the thing you spend most of your time on?

Williams: The Secretary of State for Energy Security and Net Zero designated the MESH Project to be one of national significance. It is designed to meet clean energy goals and provide employment in the region, engaging with Team Barrow [a public-private partnership that aims to revive this port town in northwestern England] and gaining increasing parliamentary support. The biggest challenge is to ensure that all stakeholders, including government, are aligned and supportive, enabling the company to meet key milestones and secure appropriate capital as the development progresses through FEED to FID and first revenues.

GF: How important is it for you to have a good team, and what defines a good team for you?

Williams: With a new concept project such as MESH, success depends on a strong team across all disciplines, not just the finance team but also the teams overseeing EnergyPathways’ technical and commercial operations. Project delivery is going to be a key discipline in arranging project financing. In the energy transition space, a good team functions efficiently and effectively across disciplines with clear communication around objectives and strategies to achieve them. EPP also benefits by having world-class industry partners, including Siemens, Wood Group, and Costain.

GF: How do you see AI affecting your work?

Williams: For a small company with a small team, the use of AI has so far been limited within the accounting function. However, this will develop as the company grows. The company already uses AI to maximize productivity and assist with project design and implementation. An AI energy management system is a key part of our development design, enabling MESH to ensure a reliable and flexible energy supply to Britain’s energy markets.

GF: What advice do you have for aspiring CFOs?

Williams: Being CFO will always put you at the center of reporting, information flow, and decision-making. For EnergyPathways, this means identifying the project’s financing needs and providing suitable, timely solutions to those requirements. In addition, the CFO ensures information transparency for investors and the broader stakeholder community.

GF: What keeps you up at night?

Williams: Matters that are outside the control of the company. For instance, EnergyPathways is developing solutions for energy storage and supply, offering security of supply with a focus on clean energy supply. Development of the MESH project may require changes to government strategy and policy, and macro, global factors may affect policy. The MESH project, though, would benefit the UK’s future energy supply regardless of the polar arguments of clean energy versus exploitation of the North Sea.

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CFO Corner: Max Williams, EnergyPathways

The man financing Britain’s clean energy future on doubt, policy risk, and the things no CFO can control.

As CFO of one of Britain’s most ambitious clean energy projects, EnergyPathways’ Max Williams has learned that securing capital is only half the job.

Since joining the firm in April 2025, Williams has been overseeing the finances of MESH, an £800 million offshore hub on the Lancashire coast set to combine long-duration energy storage, gas, and green hydrogen production in a single integrated facility.

With MESH still in the pre-FEED stage, the challenge lies not just in raising capital but in keeping government, institutional investors, and industry partners moving in lockstep toward a Final Investment Decision — and ultimately, execution.

A seasoned Chartered Accountant with three decades in energy and natural resources, Williams spoke with Global Finance about financing a first-of-its-kind project, the politics of clean energy, and what keeps him awake at night.

Max Williams, CFO, EnergyPathways

Global Finance: What is your main achievement leading finance at EnergyPathways (EPP)?

Max Williams: EPP is developing a unique solution for energy storage and supply to support Britain’s energy transition. The project, called Marram Energy Storage Hub (MESH), combines long-duration energy storage (LDES) and gas storage, while also growing hydrogen industries using its offshore storage facilities. The ability to drive the project forward has depended in the early stages on reliable and continuing support from equity shareholders who understand and believe in the company’s focus.

The signing of a financing agreement with a global institutional investor was an important step in the company being able to accelerate its pre-FEED (Pre-Front End Engineering Design) work program on both its LDES and gas storage license elements of its project. Our ongoing engagement with government, industry partners and banks will provide further significant funding to progress the project to and beyond the Final Investment Decision (FID). The company designed the full project to minimize government subsidies.

GF: What is the biggest challenge in funding operations for MESH, an £800 million integrated offshore facility in the UK (near the Lancashire coast)? What is the thing you spend most of your time on?

Williams: The Secretary of State for Energy Security and Net Zero designated the MESH Project to be one of national significance. It is designed to meet clean energy goals and provide employment in the region, engaging with Team Barrow [a public-private partnership that aims to revive this port town in northwestern England] and gaining increasing parliamentary support. The biggest challenge is to ensure that all stakeholders, including government, are aligned and supportive, enabling the company to meet key milestones and secure appropriate capital as the development progresses through FEED to FID and first revenues.

GF: How important is it for you to have a good team, and what defines a good team for you?

Williams: With a new concept project such as MESH, success depends on a strong team across all disciplines, not just the finance team but also the teams overseeing EnergyPathways’ technical and commercial operations. Project delivery is going to be a key discipline in arranging project financing. In the energy transition space, a good team functions efficiently and effectively across disciplines with clear communication around objectives and strategies to achieve them. EPP also benefits by having world-class industry partners, including Siemens, Wood Group, and Costain.

GF: How do you see AI affecting your work?

Williams: For a small company with a small team, the use of AI has so far been limited within the accounting function. However, this will develop as the company grows. The company already uses AI to maximize productivity and assist with project design and implementation. An AI energy management system is a key part of our development design, enabling MESH to ensure a reliable and flexible energy supply to Britain’s energy markets.

GF: What advice do you have for aspiring CFOs?

Williams: Being CFO will always put you at the center of reporting, information flow, and decision-making. For EnergyPathways, this means identifying the project’s financing needs and providing suitable, timely solutions to those requirements. In addition, the CFO ensures information transparency for investors and the broader stakeholder community.

GF: What keeps you up at night?

Williams: Matters that are outside the control of the company. For instance, EnergyPathways is developing solutions for energy storage and supply, offering security of supply with a focus on clean energy supply. Development of the MESH project may require changes to government strategy and policy, and macro, global factors may affect policy. The MESH project, though, would benefit the UK’s future energy supply regardless of the polar arguments of clean energy versus exploitation of the North Sea.

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CFO Tariff Refunds: CFOs Expect a Long-Term Process

A massive $166 billion in corporate tariff refunds sounds nice, but could take years to process.

The U.S. Supreme Court’s ruling invalidating the Trump administration’s tariffs was a positive outcome for companies, but refunds may take years to materialize.

The Supreme Court decided in February that the U.S. Customs and Border Protection (CBP) agency illegally collected $166 billion from 300,000 importers. Logically, companies should get refunds, but lawyers don’t expect a smooth process. Importers should be prepared to wait for one year, even 18 months, according to TD Securities.

The federal agency set up an online portal called the Automated Commercial Environment to handle refunds. Once the agency accepts a company’s claim, it issues refunds within 60 to 90 days.

That’s the short-term optimistic resolution, but history shows a lot of things could go wrong. In 1998, the Supreme Court announced that the government had to return $750 million in fees collected between 1993 and 1998. It took years to get done. 

The CBP is set up to collect money quickly—but it doesn’t easily send it back. Companies must document a proper claim on the new portal. Some small business owners don’t understand the complex customs terminology, while others can’t even log in to the new portal due to technical glitches. Let’s say that the agency and the company don’t agree about the amount of the refund. The importer must submit new documentation and begin a second review process. Companies could even be forced to go to court.

CFOs should be ready for a long, fastidious process. The financial expert should set up a cross-functional task force—including tax, accounting, procurement, and supply chain experts—to review the data and audit all the company’s entries. When the time comes, the task force will be able to answer any CBP question.

The online portal created by the CBP agency focuses on importers, but they are not alone. Consumers could also say that they were overcharged because of the tariffs. The federal government ignores them, but some states don’t. Taking matters into his own hands, Illinois Democrat Governor JB Pritzker, in a letter to the Trump administration posted on soicial media, demanded an $8.7 billion refund—that’s $1,700 for each Illinois household affected.

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CFOs Have Seen the AI Demo—but Does It Work?

Finance leaders shift from AI experimentation to measurable ROI across corporate operations.

We get it. Artificial intelligence is impressive. But how is it saving CFOs money?

Prithwijit Chaki has a take. As Global Leader for Finance Advisory at Genpact, a global professional services firm, Chaki helps chief financial officers harness AI and data to drive measurable business outcomes. With more than two decades of experience advising companies on finance strategy and large-scale transformation, he has seen firsthand how enterprises are rewiring their finance operations for an AI-first era.

That perspective takes on new dimensions with Genpact’s alliance with Google Cloud, announced earlier this month. The partnership translates AI ambition into production-ready operations.

Global Finance asked Chaki how that vision is taking shape and whether the conversation is no longer just about how AI can enhance productivity, but about bottom-line business value.

Prithwijit Chaki, Global Finance Advisory Leader, Genpact
Prithwijit Chaki, Global Finance Advisory Leader, Genpact

Global Finance: CFOs have spent the last two years experimenting with AI pilots. What’s different in 2026?

Prithwijit Chaki: CFOs are moving from AI experimentation to AI accountability. After years of pilots, the question is no longer whether AI can improve individual productivity, but whether those gains translate into enterprise value across the finance function: faster close cycles, better working capital, lower manual review burden, stronger controls, or measurable business outcomes.

According to a Genpact/HFS Research report, investment in agentic AI is expected to rise 38% over the next year. However, 67% of enterprises still rely on outdated productivity metrics that fail to capture the value of autonomous decision-making. That’s the gap CFOs are trying to close in 2026: cutting through the ‘sea of sameness’ in the AI market to determine which applications can deliver real, achievable value versus which are simply adding to the noise.

GF: How does agentic AI change day-to-day finance operations?

Chaki: Traditional automation follows basic rules, and generative AI can help an individual complete a task faster. Agentic AI goes even further. It operates inside finance workflows — deciding, acting, learning, and orchestrating work across processes with people still in the loop where needed. In practical terms, that could mean moving from someone using a copilot to draft a dunning letter faster to a more integrated workflow that identifies the right action, drafts the communication, routes exceptions, applies policy guardrails, and connects the work back to measurable enterprise value.

GF: What’s one example of cost savings or business impact that CFOs see from implementing agentic AI?

Chaki: A good example is a global supply chain and distribution company processing close to 3.5 million invoices a year. After a major merger, their finance team was dealing with disconnected ERP systems, heavy manual intervention, and slow exception resolution—the kind of last-mile complexity that generic automation can’t solve. Working with Genpact, they deployed our AI-powered Genpact AP Suite combined with our agentic operations model — 21 pretrained, domain-specific AI agents that autonomously route, prioritize, and resolve invoice exceptions, with human experts validating where needed.

GF: What were the results?

Chaki: Significant. Touchless invoice processing went from 7% to 65%. Invoice cycle times were nearly halved — from 18–29 days down to 9–14 days. On-time payment rates jumped from 60% to 95%. Data extraction accuracy improved from 40% to 92%. And the system identified approximately $350 million in duplicate invoices, while early-payment discounts captured grew from $35 million to $44 million — real dollars added to the bottom line.

This isn’t a pilot or a proof of concept. It’s agentic AI operating at scale inside a core finance workflow, delivering measurable cost savings, stronger cash flow, and a fundamentally better supplier experience. That’s the kind of outcome CFOs are looking for.

GF: Which finance function is currently seeing the fastest returns from AI deployment—and why?

Chaki: Accounts payable is one of the clearest areas where finance teams can see tangible value. The process has high volume and repeatable workflows, but it also has a clear ‘last mile’ problem. Invoices, approvals, exceptions, regulatory nuances, and fragmented systems still require heavy manual intervention. Generic AI can automate a large share of structured work. However, the final 20% requires domain-driven AI that understands real-world complexity, from vendor history and regional rules to exception patterns, approval chains, and master data issues. That is where agentic AI can move beyond simple extraction or automation. It can start resolving mismatches, escalating exceptions, improving first-pass yield, reducing manual touchpoints, and shortening cycle times.

GF: Through Genpact’s expanded work with Google Cloud, what are CFOs specifically asking for from hyperscalers right now? Is the conversation more about cost reduction or something else?

Chaki: The CFO conversation with hyperscalers has moved beyond ‘what’s the cheapest cloud?’ or ‘show me another AI demo.’ CFOs want production-ready finance operations that deliver real, measurable business outcomes. That’s what Genpact’s alliance with Google Cloud aims to address. By pairing Google’s AI infrastructure with Genpact’s finance expertise, CFOs can improve forecasting accuracy, strengthen cash flow, and scale AI within their existing cloud environments.

The goal is not just to reduce costs. It’s about boosting process efficiency and accuracy, freeing finance teams from manual work, improving decision-making, and giving CFOs a clearer path from AI investment to strategic value.

GF: Are there any guardrails that must be in place before agentic AI can be trusted within core financial workflows?

Chaki: Think of the guardrails for agentic AI as needing to scale alongside the technology itself. The more finance use cases it touches, the more important it becomes to build controls directly into the workflow. What we’re seeing today is the first wave of “agent-ification.” It operates on a machine-led, human-validated model, combining automation efficiency with expert oversight to ensure quality and compliance. Companies will build tools with that future standard in mind—where the guardrails and technology scale together—will be the ones who truly innovate what finance is capable of.

GF: Are there specific examples you can share of how you see AI augmenting finance teams? 

Chaki: We’re already seeing AI reshape how finance teams spend their time. In accounts payable, for example, AI agents are handling invoice extraction, three-way matching, and exception routing. This work used to consume entire teams. In financial planning and analysis, AI is accelerating variance analysis, generating narrative commentary on actuals, and enabling rolling forecasts that would have been extremely time-consuming and practically impractical to run manually. When it comes to record-to-report, it’s compressing close cycles by automating reconciliations and surfacing anomalies before they become audit issues.

GF: Do you expect job cuts?

Chaki: The shift this creates is less about job cuts and more about role evolution. Finance teams won’t shrink overnight, but the composition will change. You’ll see fewer people doing repetitive transactional work and more people in roles that require judgment, such as interpreting AI-generated insights, managing agent workflows, overseeing controls, and partnering with the business on strategic decisions. The finance professional of the future looks more like a combination of business partner and orchestrator than a processor.

Over the next three to five years, as agentic AI matures and enterprise vendors begin offering subscription-based finance capabilities built on entire agentic libraries, the operating model will shift. Finance functions will become leaner, faster, and more insight-driven but the organizations that get there first will be the ones investing now in both technology and the talent to work alongside it.

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