Bank of America’s CashPro platform is being transformed by artificial intelligence, real-time data, and advanced digital tools, supporting over 40,000 corporate and commercial clients worldwide. The platform now includes biometric mobile logins and machine learning–driven forecasting. “Clients … are looking for more productivity and efficiency out of tools that help them manage cash, payments and receivables,” said Tom Durkin, global product head of CashPro. He emphasized the platform’s ability to deliver “predictive, more personalized recommendations to clients to help drive the right treasury decisions,” highlighting tools like CashPro Forecasting, CashPro Chat, and QR Sign-In. Internally, AI is embedded across the bank’s technology stack. “We’re leveraging AI … to help [develop] software,” said Andrew McKibben, head of International Technology. “It improves the productivity of a software engineer — helps them write code, helps them write test cases [and] improve time to market.” Bank of America has issued over 7,800 patents, including 1,400 in AI and machine learning. “We showcase it and we celebrate it,” McKibben said. In generative AI, the bank uses tools for content classification, summarization, and generation. “You can prompt and ask questions of all of our research reports in a library and generate content that might be useful [for someone internally, or in discussions with] a client,” McKibben noted. CashPro Forecasting learns from historical cash flows to predict future balances, retraining its models daily. “There’s nothing more important to the treasurer than preserving and understanding where their cash is,” said Durkin. Forecasts that once took a week are now generated in minutes, with capabilities extending to scenario-based modeling across global subsidiaries. “If I create certain models and events, how will the model scenario work? How will that work within this unit — if I have a subsidiary operating in the EU versus a subsidiary that’s operating out of Brazil?” he explained. CashPro’s self-service tools, such as account verification letters, are seeing rapid adoption — up 21% in Q1 2025. “Clients no longer have to call the service center,” Durkin noted. CashPro Chat, powered by the same AI as consumer assistant Erica, now handles 40% of client queries. The CashPro App has evolved from a transactional tool to a personalized experience. “The app itself really started as … a transactional tool,” Durkin said, but it now supports over $1 trillion in annual payment approvals. Daylon Bailey of Highgate Hotels called it “our saving grace,” noting its intuitive design and strategic utility: “Primary administrators like myself, a lot of times, we’re generally going into CashPro App to make decisions, so it’s nice to have front and center that information that we need right then and there — whether I need to approve a user change, I need to approve a wire or look at positive pay. It’s very intuitive. It’s like having the web-based platform in the palm of your hand.” Security enhancements include QR sign-in and push notifications, with QR sign-in adoption up 60% year over year. McKibben said, “We’re deep into evaluating it,” referring to agentic AI.
AWS new neurosymbolic AI feature to mix symbolic or structured thinking with the neural network nature of generative AI to validate truth or correctness in an AI system against a set of policy or ground truth data, lending greater confidence in deploying AI agents
AWS is banking on the fact that by bringing its Automated Reasoning Checks feature on Bedrock to general availability, it will give more enterprises and regulated industries the confidence to use and deploy more AI applications and agents. It is also hoping that introducing methods like automated reasoning, which utilizes math-based validation to determine ground truth, will ease enterprises into the world of neurosymbolic AI, a step the company believes will be the next major advancement — and its biggest differentiation. Byron Cook, vice president at AWS’s Automated Reasoning Group, told the preview rollout proved systems like this work in an enterprise setting, and it helps organizations understand the value of AI that can mix symbolic or structured thinking with the neural network nature of generative AI. Automated Reasoning Checks validates truth or correctness in an AI system by proving that a model did not hallucinate a solution or response. This means it could offer regulators and regulated enterprises worried that the non-deterministic nature of generative AI could return incorrect responses more confidence. Cook brought up the idea that Automated Reasoning Checks help prove many of the concepts of neurosymbolic AI. Automated reasoning works by applying mathematical proofs to models in response to a query. It employs a method called the satisfiability modulo theories, where symbols have predefined meanings, and it solves problems that involve both logic (if, then, and, or) and mathematics. Automated reasoning takes that method and applies it to responses by a model and checks it against a set of policy or ground truth data without the need to test the answer multiple times. Cook said that agentic use cases could benefit from automated reasoning checks, and granting more access to the feature through Bedrock can demonstrate its usefulness.
AI coding tools on auto-run mode are posing security risks in compromise and data leakage by allowing agents to run command files on a user’s machine without explicit permission, due to vulnerabilities in model repositories and with malicious models granting access to cloud environments
One problem identified by the cybersecurity community at this year’s Black Hat is that shortcuts using AI coding tools are being developed without thinking through the security consequences. Researchers from Nvidia Corp. presented findings that an auto-run mode on the AI-powered code editor Cursor allowed agents to run command files on a user’s machine without explicit permission. When Nvidia presented this potential vulnerability to Anysphere Inc.’s Cursor in May, the vibe coding company responded by offering users an ability to disable the auto-run feature, according to Becca Lynch, offensive security researcher at Nvidia. Part of this issue can be found in the sheer number of application programming interface endpoints that are being generated to run AI. Security researchers from Wiz Inc. presented recent findings of a Nvidia Container Toolkit vulnerability that posed a major threat to managed AI cloud services. Wiz found that the vulnerability allowed attackers to potentially access or manipulate customer data and proprietary models within 37% of cloud environments. Despite the popularity of LLMs, security controls for them have not kept pace. This threat of exploitation has cast a spotlight on popular repositories where models are stored and downloaded. At last year’s Black Hat gathering, researchers presented evidence they had breached three of the largest AI model repositories. If model integrity fails to be protected, this will likely have repercussions for the future of AI agents as well. Agentic AI is booming, yet the lack of security controls around the autonomous software is also beginning to generate concern. Cybersecurity company Coalfire Inc. released a report which documented its success in hacking agentic AI applications. Using adversarial prompts and working with partner standards such as those from the National Institute of Standards and Technology or NIST, the company was able to demonstrate new risks in compromise and data leakage. “There was a success rate of 100%,” Apostol Vassilev, research team supervisor at NIST, said.
Banks accelerate AI deployments as agentic tools gain traction | CIO Dive
Banks ramped up AI adoption as agentic tools began to gain traction in the sector during the first half of the year, according to an Evident Insights’ AI report. The number of new use cases launched by 50 of the world’s largest financial firms doubled compared to the last half of 2024 while the number of technologists working on agentic AI grew more than tenfold, the analysis found. More than half of the 173 use cases deployed by the banks analyzed leveraged generative AI capabilities, Evident said. Nine of the 50 firms documented AI agents in the pilot or production phase, but BNY, Capital One and JPMorgan Chase were the only firms to disclose details of the supporting architecture for agentic workflows. Banks are grappling with twin objectives, according to the report. “They are optimizing potential outcomes from generative AI deployments, while simultaneously assessing early experiments with agentic AI,” Evident said. Banks expect to reap substantial rewards from sustained investments in generative AI capabilities. The technology’s ability to harness vast stores of untapped enterprise data, digest raw documentation and deliver insights that expedite analytics and customer service processes are already transforming daily operations, as developers test the mettle of natural language assistants to ease cumbersome coding tasks. While most of the focus thus far has been directed toward internal use cases, a shift toward the customer is underway. Wells Fargo, for example, beefed up its Fargo virtual banking assistant with Google’s Gemini 2.0 Flash and several other smaller internal models, Evident said. The bank is aiming to up its agentic game through an expanded partnership with Google announced earlier this month. Commerzbank leaned on Microsoft’s Azure AI toolkit to roll out AI avatar Ava in April. The app-based assistant answers general banking questions and is designed to provide customers with personalized account information. Ten of the leading banks in the Evident AI Index, including JPMorgan Chase, Citigroup and Bank of America, have collectively placed AI tools in the hands of over 800,000 employees, representing two-thirds of their workforce. Banks have had the biggest AI wins to date in front office applications and IT and security functions, according to Evident. More than two-thirds of use cases with reported outcomes, including tools that assist sales, were concentrated in these areas.
Moody Ratings says stablecoin growth could cause a 1% decrease in both bank assets and bank lending — that is, a $325 billion reduction, as issuers favor Treasuries for reserves, raising systemic financial concerns
Banks have been concerned about stablecoin issuers coming for their deposits, but the growing popularity of the digital asset could have wider implications, including a reduction in available credit. While stablecoins are still early in their evolution, they are bound to scale massively, Rajeev Bamra, associate managing director, head of strategy, digital economy at Moody’s Ratings, told American Banker. This scale could impact traditional lending, investment products and marketwide risk as the use of Treasuries as stablecoin reserves impacts other sectors of finance. “Stablecoins’ role in the plumbing of financial markets … is making them more systemically important,” Bamra said. Stablecoins have been growing at a fast clip, with circulation doubling from January 2024 to July 2025, accounting for $30 billion of transactions daily, or less than 1% of global money flows, according to McKinsey and Company. That growth is not expected to slow anytime soon. Today, the stablecoin market is just over $250 billion, with Tether and Circle’s stablecoins making up the lion’s share at $165 billion and $67 billion, respectively. Stefan Jacewitz, assistant vice president and economist at the Federal Reserve Bank of Kansas City, believes that the stablecoin industry will eventually grow large enough to boost demand for Treasury bonds, but that growth comes at a cost as the role of Treasuries declines elsewhere in banking. Presently, the role of Treasuries in the stablecoin market is limited. Stablecoin issuers such as Circle and Tether favor U.S. Treasuries as a backing for their stablecoins in circulation because they are low risk and highly liquid. Both issuers hold about half of their assets in U.S. treasury notes: As of June 30, Circle held just less than half of its total $61 billion in assets, $27 billion, in Treasuries, and Tether held $105 billion in Treasuries to back its USDT stablecoin, according to the two company’s respective transparency reports. “If all issuers held a similar proportion of their assets as Treasuries, they would hold around $125 billion in Treasury bills — less than 2% of the $6 trillion in outstanding Treasury bills,” Jacewitz wrote in a research bulletin. “While this sum is not negligible, the stablecoin industry is not as yet considered a major part of the Treasury-bill market, and issuer behavior likely has a limited effect on overall Treasury liquidity.” The stablecoin industry would need to grow to about $900 billion to reach the size of the next smallest category of U.S. Treasury owners, which are private pension funds that hold a little more than $450 billion in Treasuries. By comparison, the largest private holders of T-bills are mutual funds, at $4.5 trillion, according to Jacewitz. But as stablecoin issuers grow their share of coins in circulation, so too will the demand for T-bills, Jacewitz said. JPMorganChase has estimated that the market will grow to $500 billion by 2028, and Standard Chartered estimated the stablecoin market would grow to $3 trillion by 2028. Analysts at Bernstein are also bullish, and predicted the market could grow to $4 trillion by 2035. “This potential flow of funds from bank deposits into stablecoins could increase Treasury demand but also could reduce the supply of loans in the economy,” Jacewitz said. “Assuming the stablecoin market grows from $250 billion to $900 billion … the $650 billion in growth could represent a shift from bank deposits to stablecoins,” Jacewitz said. “This shift would represent a 1% decrease in both bank assets and bank lending — that is, a $325 billion reduction in bank loans to the economy.”
AI agents evolve how automated customer service works- deplolying automated work assignment through ServiceNow Task Intelligence and integrated GenAI capabilities is allowing engineers to resolve problems 36% to 38% faster without forwarding calls
Scott Steele, CEO of Thrive, discusses the use of AI in contact center operations, focusing on end-user support. The company uses ServiceNow as its primary workflow engine to maintain data across various platforms, ensuring accuracy and alignment across the business. Steele emphasizes the importance of policy, governance, and management in AI strategy to ensure successful implementation. Thrive’s main uses for AI in the contact center include process management, which involves understanding bottlenecks and improving customer experience. They have deployed automated work assignment through ServiceNow Task Intelligence and integrated GenAI capabilities, allowing engineers to resolve problems 36% to 38% faster without forwarding calls. This has reduced the time spent on the phone with customers and improved the route of calls. However, some agents still want to remain call center agents and are being moved to other call centers. As the industry continues to evolve, it is expected that autonomous AI agents will take on more decision-making responsibility. Steele predicts that in five years, AI will become the exoskeleton for individuals, making them bigger, faster, and stronger. As AI becomes more digital-oriented, chat will improve, reducing the need for voice-side assistance. However, Steele acknowledges that getting away from humans 100% may be difficult. Automation has already saved hundreds of thousands of hours and improved efficiency and cost structure, making agentic AI an opportunity for businesses to drive efficiency and cost structure.
Truist 2Q25 reports continued net new checking account momentum supported by a strong 82% primacy rate; 27% YTD increase in net new AUM from Wholesale and Premier clients
Bill Rogers, Truist Chairman & CEO said:
We delivered strong second-quarter results, driven by strategic loan growth and higher net interest income derived from continued strong production from our business. Our performance reflects the value of our client-centric business model and momentum in our strategy, as we see tangible results from investments we have made in talent and technology across our platforms. We remain on track to achieve our annual expense growth target, which includes continued investments in talent and technology. Asset quality remained strong, and our strong capital position continues to support both our growth initiatives and our ability to return capital to shareholders. As we stay on offense, our clear strategic focus, strong balance sheet, and unwavering commitment to our purpose—to inspire and build better lives and communities—position us well to continue driving improved performance in the evolving environment.” —
Consumer & Small Business Banking–
- Continued net new checking account momentum; added ~37K in 2Q25, supported by a strong 82% primacy rate
- Strong loan growth across all consumer portfolios driven by new loan production of ~$13 billion for the quarter, a significant year-over year increase of $5.5 billion
- Advanced our Premier banking strategy with deposit and lending per banker production up 31% and 37% year-over-year– Maintained pricing and credit discipline; new loan production yielding higher rates than the existing portfolio; consumer NCOs at multi quarter lows
Wholesale Banking
- EOP loans increased by $5.3 billion, or 2.9% vs. 1Q25, driven by broad-based growth across industry groups and geographies
- Doubled new client growth in Commercial & Corporate YTD
- Wealth net asset flows were positive, aided by a 27% YTD increase in net new AUM from Wholesale and Premier clients compared with the same period a year ago
- Ongoing progress in Wholesale Payments, evidenced by 14% year over-year growth in treasury management fees
Driving digital growth
- Experience enhancements and performance marketing drove 17% year-over-year growth in digital account production
- New-to-bank clients acquired through the digital channel grew 27% year-over-year, contributing 43% of total new-to-bank clients in 2Q
- LightStream lending products were integrated across Truist digital experiences, becoming LightStream by Truist in 2Q
Empowering clients efficiently
- Over 1.8 million digital clients utilized financial management tools in online and mobile banking, up 40% year-over-year
- New Plan & Track Dashboard empowers clients to take control of their financial planning, driving a 30% increase in activity
WEX’s Benefits segment is a growth engine- revenue in Q2 rose 8.5% year over year to $195.1 million, driven by 6% growth in SaaS accounts and 11.4% growth in custodial investment income
WEX is transforming from a legacy fuel card provider into a diversified FinTech infrastructure company, now operating in three segments: Mobility, Benefits, and Corporate Payments. The mobility segment, which still accounts for about 50% of WEX’s total revenue, is navigating pressures. Same-store sales across local and over-the-road (OTR) fleets are down, reflecting both efficiency gains (i.e., fewer gallons per mile) and cautious spending by mid-market fleet operators. While the full revenue from BP’s existing card portfolio won’t hit until after its conversion — likely sometime in 2026 — WEX expects 0.5% to 1% of additional annual revenue from the deal once fully implemented. In the meantime, the company is seeing strong traction from increased investments in digital marketing aimed at small fleet operators. Historically, each dollar spent in this channel has generated $4 in revenue over two years, and early signs suggest the return profile remains intact. WEX’s Benefits segment may not make headlines, but it continues to be one of the company’s most stable growth engines. Revenue in Q2 rose 8.5% year over year to $195.1 million, driven by 6% growth in software-as-a-service (SaaS) accounts and 11.4% growth in custodial investment income. This segment — built on the complex infrastructure that powers HSAs, FSAs, and COBRA accounts — has both high margins and high stickiness. Switching providers in this space is “complex, time-consuming and disruptive,” which explains why WEX serves nearly 60% of the Fortune 1000 and powers more than 20% of the HSA market through its direct and channel partner offerings. WEX also launched a new AI-driven claims processing tool that slashes reimbursement processing from days to minutes — a rare moment where FinTech buzzwords meet real impact. The automation reduces costs while improving the user experience — an important differentiator as benefits become a battleground for attracting talent. If there’s a wildcard in WEX’s portfolio, it’s corporate payments. The segment, which includes both embedded payments (mainly virtual cards used in travel and other verticals) and accounts payable (AP) automation, saw revenue decline 11.8% to $118.3 million. WEX has increased its dedicated AP sales force by over 50% and is riding a wave of demand from mid-size and enterprise companies looking to digitize legacy payment workflows. With more than 140 new customers signed year-to-date and a record pipeline, this unit could quietly become a growth engine in its own right. Meanwhile, the company is expanding its embedded payments offering into new verticals such as media, eCommerce and expense management. Owning a bank (WEX Bank) gives it an edge in these scenarios, allowing end-to-end integration that many FinTech challengers struggle to offer at scale.
Research finds while the number of active users of OpenAI’s ChatGPT app was 5.8% lower on Sundays compared to the average day in the first half of 2024, it was only 2.5% lower in the first half of 2025 indicating consumers’ expanding use of AI assistants in daily lives
Consumers are increasingly using artificial intelligence (AI) assistants in their personal lives as well as at work. While AI usage used to drop on weekends, that is less true today, digital intelligence and analytics firm Sensor Tower said. The company found that while the number of active users of OpenAI’s ChatGPT app was 5.8% lower on Sundays compared to the average day in the first half of 2024, it was only 2.5% lower in the first half of 2025. Similarly, the number of active users of ChatGPT on the web was 19.2% lower on Sundays than on the average day in the first half of 2024, it was 8.0% lower in the first half of 2025. By contrast, work-focused apps like Microsoft Teams and Salesforce’s Slack still see large drops in usage on weekends. “This makes [ChatGPT’s] app usage trends more similar to Google, which consumers rely on as a primary resource while working and outside of work alike,” Jonathan Briskman, principal market insights manager at Sensor Tower, wrote. Sensor Tower also found other signs that consumers are becoming more comfortable with using generative AI apps. The company said ChatGPT became the fastest app to reach 1 billion global downloads across iOS and Google Play; prompt data shows users are turning to ChatGPT for answers related to not just work and education but also lifestyle and entertainment; and the number of apps mentioning “AI” or AI-related terms increased by more than 200 in the first half. “This reflects how ChatGPT has not only reached a much broader user base, but how consumers are becoming increasingly comfortable using the tool for more varied use cases,” Briskman wrote.
Wells Fargo to partner the National Center for the Middle Market (NCMM) at The Ohio State University providing insights into the banking needs of middle market companies, helping guide research reports, and Middle Market Indicator
Wells Fargo announced a collaboration with the National Center for the Middle Market (NCMM) at The Ohio State University Max M. Fisher College of Business. Wells Fargo’s Commercial Banking group will provide the NCMM with insights into the banking needs of middle market companies, helping guide research reports, including their flagship Middle Market Indicator. The collaboration will also support special research projects and work on Wells Fargo’s middle market-focused thought leadership. The NCMM is the leading source of knowledge, leadership, and innovative research on the middle market economy, providing critical data analysis, insights, and perspectives for companies, policymakers, and other key stakeholders, to help accelerate growth, increase competitiveness, and create jobs in this sector. “We are excited to work with the NCMM and share their data and insights with our clients as they seek to build and grow their businesses,” said John Manning, head of Market Coverage for Wells Fargo Commercial Banking. “They have been focused on understanding middle market companies for 14 years, and combined with our expertise with these companies, we believe collaborating with the NCMM will help us provide additional insights to support growth in this important segment of the U.S. economy,” added Manning. Middle market companies – generally defined as companies with annual revenues between $10 million and $1 billion – account for roughly one-third of total employment and GDP in the U.S. and generate more than $10 trillion in annual revenue.i “Middle market businesses play a key role in driving innovation and job creation and are the backbone of local communities across the country,” said Doug Farren, managing director of the NCMM. “Wells Fargo brings decades of middle market banking experience to this collaboration. We look forward to working together to gain an even better understanding of the opportunities and challenges in this segment to support future growth,” added Farren.