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Finance Chiefs Struggling to Deliver in Face of Growing Pressure to Embrace AI

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Finance Chiefs Struggling to Deliver in Face of Growing Pressure to Embrace AI

Latest research from Basware shows majority are investing in technology, but ROI remains elusive

CHARLOTTE, N.C., Feb. 10, 2026 /PRNewswire/ — Calls from boards of directors and executive leadership to “do something with AI” are growing louder, and finance is struggling to answer them. According to a new report from Basware, a global leader in Invoice Lifecycle Management, nearly half of CFOs say they feel increased pressure from company leadership to implement AI across their operations. And while many are investing in agentic AI in response, a majority admit they are largely experimenting with the technology and flying blind when it comes to putting it into practice and delivering ROI.

As revealed in AI to ROI: Unlocking Value with AI Agents report, a global survey conducted by FT Longitude with support from Basware, six in ten (61%) of 200 finance leaders across the US, UK, France and Germany polled say their organization rolled out custom-developed AI agents largely as an experiment, simply to see what the technology could do. And one in four admit they still don’t fully understand what an AI agent looks like in practice.

It’s a vexing problem, and as they look to the year ahead, CFOs need to focus on solving it.

The Rise of Agentic AI

Two-thirds (66%) of respondents to the Basware survey say there is more hype around agentic AI than any previous technology shift, yet three-quarters are still figuring out the best way to leverage it. And the C-Suite is losing patience.

We’ve reached a tipping point where boards and CEOs are done with AI experiments and expecting real results,” said Jason Kurtz, CEO, Basware.

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And as the Basware research makes clear, agentic AI is the key to delivering them. While overall AI return on investment (ROI) rose from 35% to 67% in the last year, survey data shows agentic AI far – and companies using third-party solutions already embedded with AI agents – outperformed all categories with an average ROI of 80%.

Scoring Easy Wins

“Finance teams that focus on areas where AI can have immediate impact, such as automating accounts payable, improving compliance, reducing errors, and detecting fraud, can deliver these results,” Kurtz adds.

Respondents to the Basware survey confirm this, with 72% saying they see accounts payable (AP)—often the most manual and data-heavy part of the finance function—as the most obvious starting point for agentic AI. And it’s an area where Basware can deliver quick wins. At the end of the day, AP is a data problem. and Basware is solving it with AI. Over the last 40 years, the company has built the industry’s largest set of structured, high-quality AP data and processed more than two billion invoices. And it’s applying AI to this data to train its AI agents and deliver context-aware predictions, enabling finance teams to spend less time analyzing and more time deciding and acting. Other areas where they will likely deploy agentic AI:

  • Automating invoice capture and data entry (30%)
  • Cash flow management (24%)
  • Scenario modeling and forecasting (23%)
  • Lower operating costs (21%)
  • Running real-time risk and market analysis (20%)
  • Automating financial reporting and reconciliations (20%)
  • Streamlining compliance checks and regulatory filings (19%)
  • Detecting duplicate invoices or potential fraud (19%)
  • Reducing overpayments or duplicate payments (18%)

Build Vs Buy

Organizations that leverage intelligent platforms like Basware’s Invoice Lifecycle Management that are embedded with agentic AI and uniquely designed to drive these processes can deliver the results they’re leadership is expecting with greater speed and cost efficiency than cobbling together point solutions or attempting to build their own.

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Take InvoiceAI, a solution delivered on the platform that intelligently and securely applies generative and agentic AI, natural language processing and deep learning across the entire invoice lifecycle. Leveraging embedded AI Agents, the solution goes beyond simple automation to autonomously processes invoices and deliver game-changing improvements in speed, accuracy and compliance.

From Hype to Reality – and ROI

But achieving these results requires clear strategies and governance to drive them.

According to the Basware survey, nearly three quarters (71%) of finance teams seeing the weakest returns from AI reported acting under pressure and without direction, compared to 13% of teams achieving strong ROI.

“Our research confirms what we see every day: AI for AI’s sake is a waste,” Kurtz said. “Agentic AI can deliver transformational results, but only when it is deployed with purpose and discipline. And that means embedding AI directly into finance workflows, grounding agents in trusted data, and governing them like digital employees. This is how AI moves from innovation to impact. And this is what Basware delivers for our customers.”

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To learn more about Basware’s Invoice Lifecycle Management platform and the value it is delivering to enterprises around the globe, click here.

About Basware 

Basware is how the world’s best finance teams gain complete control of every invoice, every time. Our Intelligent Invoice Lifecycle Management Platform ensures end-to-end efficiency, compliance and control for all invoice transactions. Powered by the world’s most sophisticated invoice-centric AI – trained on over 2 billion invoices – Basware’s Intelligent Automation drives real ROI by transforming finance operations. We serve 6,500+ customers globally and are trusted by industry leaders including DHL, Heineken and Sony. Fueled by 40 years of specialized expertise with $10+ trillion in total spend handled, we are pioneering the next era of finance. With Basware, now it all just happens. 

Photo: https://mma.prnewswire.com/media/2889805/Basware_x_FT_Longitude_Agentic_AI_Report.jpg
Logo: https://mma.prnewswire.com/media/2398888/Basware_logo.jpg

SOURCE Basware

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Finance

UK Watchdog Urged to Consider Broader Oversight of AI Financial Firms | PYMNTS.com

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UK Watchdog Urged to Consider Broader Oversight of AI Financial Firms | PYMNTS.com

The UK’s financial regulator should consider expanding its oversight to cover advanced artificial intelligence models used in financial services, according to a review commissioned by the Financial Conduct Authority (FCA), as policymakers assess whether existing rules can keep pace with rapidly evolving AI technology.

According to Bloomberg, the review recommends that the FCA evaluate whether large language models developed by companies including OpenAI and Anthropic should fall within the regulator’s remit if they play an increasingly significant role in consumer financial services. The report was led by Sheldon Mills, an executive director at the FCA, and was published on Monday.

The review concludes that the UK’s current activity-based regulatory framework does not require a wholesale overhaul. However, it warns that continued advances in AI capabilities and wider adoption of AI-powered financial products could expose gaps in existing oversight if technology providers increasingly influence regulated financial activities, Bloomberg reported.

Among its recommendations, the report calls for a review of the FCA’s regulatory perimeter and suggests strengthening the regulator’s authority under the UK’s Critical Third Parties regime. Such changes could allow the watchdog to exercise greater oversight of technology providers whose services have become integral to financial markets, including major AI developers and cloud infrastructure companies.

The recommendations reflect growing concern that artificial intelligence is reshaping how financial products are designed, distributed and used. Banks and other financial institutions are increasingly deploying generative AI to support customer service, fraud detection, compliance functions and financial guidance, while consumers are also turning directly to general-purpose AI tools for financial information.

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The review also raises broader competition and market structure issues. As financial institutions rely on a relatively small number of AI model developers and cloud computing providers, operational dependencies could become concentrated among a handful of technology companies. That concentration may create systemic risks if disruptions or failures affect widely used platforms, while also potentially shifting market power away from regulated financial institutions toward large technology providers.

Those concerns mirror recommendations made earlier this year by the UK Parliament’s Treasury Committee, which urged the government to designate major AI and cloud providers as Critical Third Parties, arguing that regulators need stronger supervisory tools as digital infrastructure becomes increasingly central to financial stability.

The FCA launched the Mills Review in January to examine how artificial intelligence could transform retail financial services by the end of the decade. The consultation considered AI’s impact on competition, consumer behavior, market structure and the regulatory framework, with the aim of identifying whether financial regulation should evolve alongside technological change.

According to Bloomberg, the FCA will now consider the report’s recommendations, including whether its regulatory responsibilities should be expanded to reflect the growing influence of general-purpose AI systems in financial services. Any changes to the regulator’s statutory powers would require action by the UK government and would form part of broader efforts to balance innovation, consumer protection, financial stability and effective competition as AI adoption accelerates.

Source: Bloomberg

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MAS moves to rein in autonomous AI agents in finance

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MAS moves to rein in autonomous AI agents in finance
MAS

The Monetary Authority of Singapore (MAS), the city state’s central bank and financial regulator, has joined forces with major financial institutions and FinTechs to release a white paper aimed at keeping AI agents in finance operating within safe limits.

The paper, called Safeguards for Agentic Finance at Runtime (SAFR), lays out an industry-built framework designed to let AI agents perform financial tasks in a manner that is safe, secure and dependable. It has been produced under BuildFin.ai, the MAS programme that backs the responsible creation and rollout of AI tools across the financial sector.

The push comes as AI agents take on more autonomous work at a pace that makes hands-on human oversight impractical. In response, firms require real-time controls that keep agent behaviour inside the mandates, policies and risk limits they have defined. SAFR answers this with a series of governance checkpoints that check and log each action an agent proposes before that task is carried out.

The framework extends the AI Risk Management toolkit created through MAS’ Project Mindforge, concentrating on how protections can be put into practice at the moment an agent acts. The white paper maps out how measures such as policy bound execution, real time validation, auditability and interoperability can be woven into system operations, giving institutions the confidence to deploy agents consistently.

Industry participants have already tested SAFR in several settings. These include agent-assisted payments and treasury work, where agents handle routine transactions inside set mandates to cut friction and lift efficiency; wealth management and advisory processes, where agents examine documents and produce structured assessments within tightly defined task limits to speed up compliance reviews; and client engagement, where agents create insights and draft materials within approved content boundaries so staff can serve clients more productively.

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The Worst Financial Advice People Keep Repeating Despite Being Wrong

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The Worst Financial Advice People Keep Repeating Despite Being Wrong

Talking about finances can be stressful, but it’s even more stressful if you’re not sure what advice is good and what advice might put you in a worse position than you started in.

Recently, a Reddit user who goes by market_vision1 asked, “What is the worst financial advice people still repeat?” I took out a little pen and paper while I was reading through these, like, “Lemme write that down. And that. Oh! And that, too!” I’m curious what you think, though. Are all of these things we should avoid financially?

1. “One of the more damaging ideas out there is ‘Oh, you’re young, don’t worry about money, just go have fun and worry about it when you are older.’ Of course, the number one regret I hear from clients nearing retirement is that they wish they had just started saving when they were younger.”

—u/hems86

Aaronamat / Getty Images

2. “The ‘tax bracket’ myth should be illegal. My uncle turned down a $10K raise because he thought he’d ‘lose money.’ He literally paid $10,000 to avoid $2,200 in taxes. That’s not a tax strategy. That’s a $7,800 donation to the Dumba— Fund, and he’s the chair.”

—u/Serious_Cress5040

Related: “31 Things Only Super Wealthy People Can Buy That You Probably Don’t Even Know Exist”

3. “People living outside of their means and not realizing it. They say things like, ‘You deserve X, don’t settle for less.’ Most of the people I see who are broke are not 100% victims of the system. The majority of people waste their money on dumb stuff that they can’t afford. They’ll tell me they’ve cut out all unnecessary spending, but when I look at their actual expenses, I see otherwise. Spending $800 a month on DoorDash, financing a new car with a $900 monthly payment, going on international vacations, spending 70% of their income on rent in a fancier apartment when there are options for cheaper living.”

—u/hems86

4. “I’m a financial planner, and some of the worst advice I’ve ever heard is ‘Don’t pay off your credit cards in full. Carrying a balance on your credit card builds your credit; paying it off every month hurts your score.’ People say this to me all the time when I ask why they carry a balance on their card with 25% interest when they have more than enough to pay it off.”

—u/hems86

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Person looking stressed, holding a credit card and sitting at a laptop with scattered bills on a coffee table, in a living room setting
Srdjanns74 / Getty Images

5. “It’s not so much advice as it is a financial choice. I know people who are taking out 96-month loans on cars they never should’ve considered in the first place, just because they can make the car note when it’s stretched over eight years. They never considered the interest on the loan plus the rate cars depreciate and are befuddled when they can’t afford to trade it in.”

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