Innovation

Lending is becoming more automated, more connected and increasingly powered by artificial intelligence. But across many lending processes, a significant gap remains between that vision and today’s reality. New research from Celent, a global research and advisory firm for the financial services industry, highlights that gap and how quickly financial institutions are moving to close it. According to the Celent 2026 Enterprise Decision Intelligence Survey, 82% of lenders plan to increase their spending on decision intelligence technology over the next two years. By 2028, Celent projects decision intelligence adoption will increase 32 percentage points in mortgage lending and 28 points in consumer lending, with more than half of lenders expected to use it across key lending processes. The automation gap creates an opportunity Automation is already well established in some areas of lending. Celent found that 68% of credit card decisioning is fully or mostly automated today, compared with 31% of small business term loan decisioning and just 19% for mortgages. Manual processes and fragmented technology can increase costs, slow decisions and make credit risk and fraud management more complex. For borrowers, they can mean additional friction and longer waits. Closing that gap requires more than automating individual steps. Financial institutions increasingly need to connect data, analytics, models, decisioning and workflows across the credit lifecycle. Decision intelligence moves into the mainstream Celent defines decision intelligence as an integrated approach that combines data, software, rules management systems and artificial intelligence to optimize decision making. The research finds that decision intelligence platforms have entered the mainstream as lenders look to connect capabilities that have traditionally operated separately. More than eight in 10 lenders plan to increase their investment in decision intelligence technology over the next two years. Data management is also among their leading investment priorities, reflecting the importance of a strong foundation for automation and AI. The result is a shift from automating individual lending decisions toward creating a connected decisioning environment across the credit lifecycle. AI makes trust even more important AI can accelerate this transformation by helping financial institutions extract more value from data, improve models and analytics, and make decisions faster. As AI evolves toward agentic systems capable of acting across complex workflows, the opportunity to automate more of the lending lifecycle grows. But so does the importance of trust. Celent finds financial institutions are prioritizing data integrity, lineage, privacy and control, along with secure deployment, explainability and auditability. As AI moves deeper into lending, institutions need to understand the data being used and how decisions are reached and governed. They also need ways to connect AI agents with trusted data, analytics and decisioning while maintaining governance, controls, auditability and human oversight. From decision intelligence to agentic AI Experian is helping financial institutions address these needs through the Experian Ascend Platform™, which brings together trusted data, advanced analytics, model development and deployment, decisioning, and fraud and identity capabilities in an integrated environment. Decisioning on the Experian Ascend Platform™ provides a flexible, component based automated decision engine designed to help lenders operationalize data, models and strategies across the credit lifecycle and turn intelligence into faster, more informed decisions at scale. Experian’s Agent Operating System™ builds on that foundation with a trusted agentic AI layer within the Experian Ascend Platform. It is designed to enable AI agents from Experian, financial institutions and partners to work together through a common trust, semantic and orchestration layer, with governance, auditability and human oversight built in. This creates a path from using AI for individual tasks toward orchestrating more complex workflows. The Agent Operating System is designed to connect agents and capabilities across data, models and workflows, allowing organizations to begin with targeted use cases and expand over time. By connecting data, analytics, decisioning, workflow and AI, financial institutions can create a common foundation for continuously improving decisions while laying the groundwork for trusted agentic automation. As Craig Focardi, Principal Analyst, Banking from Celent explains: “Decision intelligence is evolving from a point solution into enterprise infrastructure. As lenders extend these capabilities across products and the credit lifecycle, the opportunity is to create a common foundation that connects data, decisioning, workflow and AI, enabling institutions to make better decisions faster and continuously improve how those decisions are made.” The next phase of lending automation will be about more than applying AI to existing processes. It will be about creating a trusted, connected environment where data, analytics, decision intelligence and AI agents can work together across the credit lifecycle. For financial institutions, that offers a path toward more intelligent, orchestrated workflows while maintaining the governance, transparency and human oversight needed to operationalize AI confidently at scale. Source: Celent 2026 Enterprise Decision Intelligence Survey, May 2026.

Healthcare providers are preparing for a new wave of Medicaid eligibility verification requirements that will increase the need for timely, accurate income and employment verification. At the same time, organizations continue to face staffing pressures, reimbursement challenges and growing patient expectations. To help providers address this challenge, Experian Health has integrated Experian Verify into Patient Financial Clearance and its revenue cycle portfolio, bringing instant income and employment verification directly into healthcare workflows. By bringing these capabilities together, we can help providers reduce manual verification work and use verified information to support Medicaid and financial assistance screening earlier in the process. As new One Big Beautiful Bill Act requirements take effect on January 1, 2027, healthcare organizations need efficient ways to verify patient information without creating additional administrative burden. Traditionally, income and employment verification has relied on document collection, follow-up requests and time-consuming manual reviews. That can mean more work for staff, longer eligibility determinations and delays in determining an appropriate financial pathway for patients. By embedding Experian Verify within Patient Financial Clearance, providers can access verified income and employment information in seconds. For revenue cycle teams, that means using verified information to support Medicaid and financial assistance screening within the workflow they already use, rather than relying as heavily on document collection and follow-up. What I particularly like about this launch is how we brought capabilities from across Experian together around a specific client need. Patient Financial Clearance has long helped healthcare providers identify patients who may qualify for Medicaid or financial assistance and guide them to the most appropriate financial pathway. Experian Verify, meanwhile, provides instant income and employment verification through one of the nation's largest employer payroll networks. Bringing these capabilities together gives providers another way to address growing verification demands within a single workflow. This is One Experian in action in a very impactful way. We’re combining data, technology and expertise from across the business to address a problem our healthcare clients are facing now. More importantly, we’re doing it in a way that fits into the workflows their teams already use. Ultimately, the benefits extend beyond providers. Faster access to verified information can help patients navigate financial assistance processes more easily, reduce paperwork and provide greater clarity around coverage and eligibility. As these requirements move closer, revenue cycle leaders should be looking now at where income and employment verification still depends on document collection and manual follow-up. Bringing verification directly into the financial clearance workflow is one more way we can help clients reduce administrative burden, support earlier decisions and help patients better understand their coverage or financial assistance options.

I joined Experian in 1993. In more than three decades since, I've had a front-row seat to a remarkable evolution in how financial institutions use data and analytics to make decisions.  The technology has changed. The amount and types of data available have changed. And the speed and sophistication with which we can turn that data into insight would have been difficult to imagine when I started my career.  Through all that, one principle remains the same. Better data can lead to better decisions, and better decisions can create more opportunities for consumers and financial institutions.  That's why today's announcement at Experian Vision 2026 is particularly meaningful to me.  We announced Experian Cashflow Data Bureau Inc., an important new foundation for how we believe financial institutions will use data to make decisions and support consumers.  Building on the power of credit  Credit data has been foundational to the financial system, and it will continue to play that essential role. But today, we have an opportunity to see more.  For years, Experian has invested in expanded data because we believe responsibly using additional information can help lenders develop a more complete picture of a consumer and ultimately help expand fair access to credit.  That can be especially important when a traditional credit history doesn't tell the whole story. From earning a steady income, paying bills consistently, maintaining sufficient balances and responsibly managing their day-to-day finances, a consumer may have a limited credit file but still have a rich financial life.  Consumer-permissioned cash flow information can help provide insight into those behaviors and give lenders another view into a consumer's current financial health and capacity. This represents a very useful and meaningful signal.  This isn't about replacing credit data. It's about building on an incredibly powerful foundation with additional, current information that can help lenders better understand the consumers they serve.  From proving the value to putting it to work  We've been building toward this future for years.  Our experience with expanded data and open banking has helped us develop increasingly sophisticated ways to turn bank transaction and balance information into useful insights. We've introduced Cashflow Attributes and Cashflow Score for consumer and commercial lenders and, the Experian Credit + Cashflow Score, which brings consumer-permissioned cash flow insights together with Experian's traditional credit, trended and alternative data in a single model.   Along the way, we've seen the conversation with our clients and partners evolve.  Increasingly, they aren't asking us whether cash flow information can provide value. They're asking us how to put it to work.  How do I access the information? How do I test it against my portfolio? How do I turn millions of transactions into useful insights? How do I incorporate those insights into my existing strategies? And how do I do all of that responsibly and at scale?  Those are important questions, because the next generation of lending requires more than access to another source of data.  It requires infrastructure and trust.  That's what Experian Cashflow Data Bureau Inc. is designed to provide.  The new consumer reporting agency operates under the Fair Credit Reporting Act and serves as the enabling foundation for Experian's broader cash flow ecosystem. It brings together capabilities spanning consumer consent and connectivity, standardized cash flow reporting, categorization, attributes and scoring, analytics and decisioning.   We've spent decades building the data, analytics, technology and consumer reporting expertise financial institutions depend on every day. Now, we're applying that experience and discipline to cash flow.  The goal is to make the combined power of credit and cash flow easier to put to work, giving our clients a more complete view of consumers and the ability to turn those insights into better-informed decisions through a single, trusted provider.  This is another step toward a future where our clients can understand a more complete picture of a consumer's financial life, make better-informed decisions and create more opportunities for people to access the financial products and services they need.  I'm excited about where we're headed and proud that we're continuing to build the data, technology and infrastructure to help move the industry forward.  To learn more about our cash flow capabilities and what we’re building, please visit https://www.experian.com/experian-cashflow-bureau.  

For many small businesses, the need for credit can come well before they’ve had time to build a deep credit history. A business may be growing, bringing on employees or investing in new equipment, but its credit file may still offer a limited view of its financial health. That challenge is becoming increasingly relevant as more businesses enter the market. The number of small businesses in the U.S. has increased from 30.7 million in 2019 to 36.2 million in 2026, according to Experian’s latest Commercial Pulse.¹ For lenders, that growth creates a familiar underwriting challenge. Traditional commercial credit data remains essential to assessing risk, but a limited credit history can leave lenders with fewer signals to evaluate a newer business. This can make it harder to distinguish between businesses that simply lack credit history and those that present greater credit risk. Cash flow data can help close that information gap. Permissioned business banking data provides current signals related to liquidity, revenue trends, operating expenses, debt exposure and repayment capacity. When used alongside commercial credit data, these insights can add context when the credit file alone doesn’t tell the full story. Building on what we’ve learned We’ve spent the last several years looking at how we can use cash flow insights to help more consumers access financial products and improve their financial health. And we’ve seen meaningful results. More than 19 million consumers have connected their accounts to Experian Boost or our Personal Financial Manager to improve their credit scores. And by leveraging consumer-permissioned banking information through our Cashflow Attributes and Cashflow Score, our clients can manage risk more effectively and increase fair access to credit.  More recently, we’ve integrated our Cashflow Attributes into Experian Activate, our consumer marketplace, to help connect consumers with credit offers that better reflect their financial circumstances. Extending cash flow insights to commercial lending Today, we are extending that experience to commercial lending with the launch of Experian Cashflow Attributes for commercial lenders. The solution transforms business bank transaction data into more than 500 attributes that can be incorporated into underwriting and decisioning strategies. The value is not in replacing established credit information, but in adding relevant signals when the commercial credit file does not yet tell the full story. Our preliminary analysis shows Cashflow Attributes for commercial lenders are particularly useful for businesses with thin credit files, providing up to a 24% lift in predictive performance when paired with traditional commercial credit data. As more new businesses enter the market, combining commercial credit and cash flow insights can help lenders assess risk with greater context, refine underwriting strategies and identify opportunities to extend credit responsibly. This is a meaningful next step in our commitment to helping the industry put cash flow insights to work at scale. And there is more ahead. As cash flow insights become a more integral part of financial services, we see significant potential to apply them in new ways, helping financial institutions make more informed decisions and expand financial opportunities for the consumers and businesses they serve. To learn more about Experian Cashflow Attributes for commercial lenders, please visit https://www.businesswire.com/news/home/20260929177531/en. [1] Experian, “More Businesses, New Risk Signals: Rethinking Small Business Credit,” August 24, 2026.

I’m often asked what drives innovation at a company like ours. People might expect the answer to be technology, data or artificial intelligence. While there’s no question these things matter, I believe innovation often starts with something much simpler: listening. Several years ago, our clients came to us expressing frustration. As verification became increasingly important across mortgage lending, tenant screening, financial services and employment screening, they felt constrained by legacy solutions and limited trustworthy alternatives and wanted our help. We also saw this as an opportunity to help broaden financial access for consumers by creating a more modern, complete picture of their financial health. We recognized the road ahead would not be easy, but few things worth pursuing are. In 2021, we responded to this market demand by launching Experian Verify, designed from day one to give the industry a secure, automated alternative to verify income and employment in real time. Today, that journey reaches an important new milestone as we announce a new integration with Workday, the enterprise AI platform for HR, finance and IT. By partnering with Workday, we’re significantly expanding the real-time income and employment information that can be accessed through Experian Verify™. The integration comes as we continue to expand the Experian Verify network through a combination of payroll provider integrations and employer-direct connections, with a path to more than 80 million records, representing over half of U.S. payroll employees.[1] Why does this matter? There are moments when speed and simplicity matter more than others. Right now, across mortgage lending, tenant screening, financial services and employment screening, organizations continue to navigate affordability challenges, evolving market conditions and increasing pressure to deliver faster, more efficient experiences for consumers. At the same time, behind every verification request is a person trying to move forward. Buying a home. Financing a car. Leasing an apartment. Starting a new job. Every request for documentation or manual verification process creates friction during some of life's biggest financial moments. By expanding access to real-time income and employment data, millions more consumers can move through these moments with less paperwork, faster decisions and a better overall experience. Not only that, when verified income and employment information is available instantly, businesses can reduce reliance on manual verification processes that often require additional documentation, slow down HR teams and delay approvals. Ultimately, it means the system can move better, faster and smarter. For everyone. Created a more connected verification ecosystem This collaboration with Workday also shows what's possible when organizations are willing to challenge conventions and work together to solve problems in new ways. By integrating with Experian Verify, Workday customers will gain greater choice and flexibility in how they fulfill employment and income verification requests. There is tremendous opportunity to continue expanding access to trusted verification data to simplify experiences for consumers and businesses and create even more choice across our industry. Workday's commitment to helping create a more connected verification ecosystem is something I deeply admire, and I hope this milestone encourages others across our industry to think similarly. Meaningful progress happens when organizations listen, challenge conventions and build together. As we said when we launched Experian Verify, we entered this space with a long-term commitment to employers and the broader verification ecosystem. We knew meaningful change wouldn't happen overnight. We’ve made significant progress, and while the journey is far from over, each milestone reinforces our commitment to building partnerships that expand choice, improve access, and deliver greater innovation to the market. To learn more about our new integration with Workday please visit: https://www.experianplc.com/newsroom/workday [1] According to the U.S. Bureau of Labor Statistics, total nonfarm payroll employment was approximately 159.1 million in August 2026: https://www.bls.gov/news.release/empsit.t17.htm

When consumers apply for credit, lenders want to make the most informed decision possible. And consumers want to know they’re being considered based on a more complete financial picture that reflects where they are today.   Credit data is foundational to lending decisions, providing a proven view of how consumers have managed credit over time. But we know credit data doesn’t tell the full story for everyone, and millions of consumers face challenges accessing credit.   According to recent research from the Federal Reserve Bank of New York[1],  nearly one in five consumers lacks access to mainstream credit or has damaged credit. Our own research shows 60% of consumers who’ve previously been denied credit or received less favorable terms than expected believe the outcome would’ve been different if lenders had considered their recent income and banking activity alongside their credit history.[2] Consumer-permissioned cash flow data can complement credit information with a more current view of income, expenses and financial activity. These insights can help businesses better understand consumers and approve up to 30% more applicants on average – without adjusting their risk tolerance.   But what about before a consumer applies for a financial product?  Cash flow insights can create value at many points across the consumer journey, including helping people find financial products that fit their needs and financial circumstances.  Putting cash flow insights to work earlier in the journey  We have direct relationships with more than 90 million members who come to Experian for tools and resources to help improve their financial health. As part of that experience, our members have access to Experian Marketplace, a leading consumer comparison-shopping platform for credit cards[3], personal loans[4] and auto insurance[5].  Now, we’re bringing cash flow insights directly into that experience.  With our Marketplace platform Activate, we’re bringing together credit data, advanced analytics, AI and consumer-permissioned financial information to help create more personalized offer matching so consumers can receive more offers they are qualified for that could meet their needs.  For consumers who choose to connect their bank accounts, participating lenders can incorporate our Cashflow Attributes into decisions alongside traditional credit information. This can help lenders identify consumers who may be a good fit for their products while helping consumers discover offers that better reflect where they are today.  This is an important step in how we think about the potential of cash flow data. Its value doesn’t begin and end with underwriting decisions. From helping consumers find relevant financial products to giving lenders additional information to make more informed decisions, cash flow insights can help create a more connected experience.  And Experian is uniquely positioned to bring those pieces together.   Millions of consumers trust us to help them understand and improve their financial health, while businesses rely on our data, analytics and technology to make important decisions every day. Connecting those two sides of the financial ecosystem gives us an opportunity to put cash flow insights to work in ways that can benefit both.  Building what’s next   At Experian, we’re continuing to invest in ways to make cash flow insights more actionable for businesses and more valuable for consumers. That includes expanding how we use consumer-permissioned data, developing new cash flow capabilities and finding more ways to bring these insights into the experiences where financial decisions are being made.  Ultimately, this is about helping businesses see more of the consumer and helping consumers get recognized for more of their financial story.   As we continue to expand where and how cash flow insights are used, we see significant opportunity to create more informed decisions for businesses and more relevant experiences for consumers. [1] https://www.newyorkfed.org/medialibrary/media/images/v5/library/community-development/household-financial-stability/2026/the-market-for-credit-building-demand-product-characteristics-and-consumer-uses [2] Methodology: Experian commissioned Atomik Research to conduct an online survey of 2,000 adults age 18+ in the United States. The margin of error for the overall sample is +/- 2.2 percentage points with a confidence level of 95 percent. Fieldwork took place between July 16 and July 21, 2026. [3] Results will vary. Based on FICO® Score 8 model. Offers and approvals not guaranteed. Eligibility requirements and terms apply. Application is subject to a credit check, which may impact your credit scores. Offers not available in all states. See experian.com for details. [4] Results will vary. Based on FICO® Score 8 model. Offers and approval not guaranteed. Eligibility requirements and terms apply. Application is subject to a credit check which may impact your credit scores. Offers not available in all states. Marketplace Licenses and Disclosures. [5] Results will vary and some may not see savings.

As financial institutions continue to expand their use of artificial intelligence across lending and risk operations, strong model governance has become just as important as building the models themselves. We are therefore proud to be recognized by Chartis Research as the winner in the Model Risk Management Environment category in its STORM Quantitative Analytics50 2026 report. This recognition highlights our commitment to helping financial institutions accelerate AI innovation while strengthening transparency, accountability and regulatory compliance. According to Vijay Mehta, Chief AI Officer at Experian, governing AI with the same level of rigor used to build it is becoming increasingly important as organizations move AI into production. “Financial institutions need to scale AI without sacrificing transparency, accountability or regulatory compliance,” said Mehta. “Our vision is to provide an integrated agentic platform that enables organizations to operationalize trusted AI with confidence, helping them move from building models to deploying trusted AI at enterprise scale.” The recognition reflects our approach to model risk management through the Experian Ascend Platform™, which helps organizations govern analytical and AI models from development through deployment and ongoing monitoring. The platform brings together trusted data, feature engineering, model operations, decision-making and risk analytics with such capabilities as model registry, automated validation, explainability, fairness testing, drift detection and audit-ready documentation. Together, these capabilities help organizations adopt AI while maintaining transparency, traceability and regulatory oversight. The recognition comes as AI adoption continues to grow across financial services. According to Experian research, 60% of respondents say they are moving toward architectures that enable AI agents and systems to work seamlessly across tools and data sources, while 86% say transparency in analytics and insights is highly valuable for improving decision-making. Chartis also recognized the strength of the Experian Ascend Platform™. “Experian’s strong showing in our STORM Quantitative Analytics50 ranking, and its Model Risk Management Environment solution award, reflect the strength of Ascend, its advanced analytics development and management environment,” said Sid Dash, Chief Researcher at Chartis. As organizations move from AI experimentation to enterprise scale, this recognition reinforces Experian’s continued investment in helping financial institutions build trusted AI with the governance, transparency and oversight needed to make confident analytical decisions.

Experian delivered a record FY26, with revenue from ongoing activities up 13% at actual exchange rates and 8% organically to US$8.4 billion. Q4 organic growth reached 9%, highlighting strong momentum and consistent execution across the business. Nearly US$2 billion of revenue came from new and scaling products, supported by innovation, new B2B wins and a free membership base of more than 215 million. Experian is extending its AI leadership through the Ascend Platform, the ServiceNow partnership, Experian Agent Trust and new consumer experiences on ChatGPT and Snapchat. We delivered a record FY26, at the top end of guidance, with revenue from ongoing activities rising 13% at actual exchange rates and 8% organically to US$8.4 billion. Organic growth was at 9% in Q4, further demonstrating the momentum in the business. These results reflect more than strong execution. They show the power of our strategy, the trust placed in our data and decisioning capabilities, and the central role we are playing as businesses and consumers embrace AI to move with greater speed, confidence and impact. Read more here. Across our business, we are building momentum by combining innovation at scale with deep client relationships and understanding of their needs. In FY26, we won new B2B clients, strengthened strategic relationships and expanded our free membership base to more than 215 million. This supported the US$2 billion in revenue (nearly ¼ of our total revenue) from new and scaling products, reflecting the strength of our innovation engine and our ability to turn new ideas into meaningful growth. Our global platforms are helping define what comes next. By introducing agentic workflows within Ascend that bring together AI, data, analytics and decisioning, we are enabling clients to automate complex processes in ways that are more intelligent, trusted and scalable. Our multi-year partnership with ServiceNow is another example of how we are extending that impact across the enterprise. We are also helping shape the trust layer for agentic commerce through Experian Agent Trust, a new framework designed to verify identity, intent and authorisation in AI-driven transactions. We are also reimagining how consumers access trusted financial information in an AI-first world. In North America, we launched our Insurance Marketplace app on ChatGPT and integrated into Snapchat’s AI Sponsored Snaps offering, bringing AI-powered credit and personal finance information to new audiences at scale. In the UK and Ireland, we introduced the UK’s first credit score app on ChatGPT, while in Brazil we embedded our financial education content into conversational AI experiences. Looking ahead, we see significant opportunities. Demand for trusted data, identity, verification and decisioning is growing as organisations look to scale AI responsibly, and we are uniquely positioned to help them do so. Read our full financial statement here.

Unlocking scalable, agentic commerce through Experian’s trusted data and identity leadership Soon, you won’t be the one making the purchase. Your AI will. And it won’t just assist. It will act on your behalf. We are entering a new phase of commerce where AI agents evaluate options, make decisions and complete transactions for consumers. This shift challenges a fundamental assumption commerce has always relied on: that a human is behind every transaction. If an AI initiates a transaction, how does a business know it can trust it? A new model of commerce needs a new model of trust With the advent of agentic transactions, interactions between businesses and consumers are changing. AI agents are acting on consumers’ behalf, and the signals that establish trust, identity, intent and authorization are becoming harder for businesses to verify. Without a clear connection between people and the AI acting for them, agentic commerce introduces new risks: fraud, misrepresentation and unauthorized transactions. What is needed is a new trust model for commerce. One that verifies the individual, the agent and the intent behind every action. Building the trust layer for agentic commerce Experian Agent Trust™ is designed to address this challenge. It brings identity, and accountability into AI driven transactions, giving businesses the confidence to engage in this new model of commerce. Experian is uniquely positioned to lead in this space. Today, our identity verification and fraud detection solutions help clients avoid an estimated 15 to 19 billion dollars in fraud losses each year. Experian Agent Trust extends that foundation to a world where AI agents initiate transactions. Agentic commerce will not scale without trust. Knowing there is a verified person associated with the autonomous shopping agents will be critical to building this trust. At the center of this approach is Human-to-Agent Binding. Human-to-Agent Binding creates a secure link between a verified consumer, their device and the AI agent acting on their behalf. Each agentic transaction can be traced back to the human who initiated the transaction. This capability is part of a broader Know Your Agent framework that extends identity verification into the age of AI. Trust is built across the ecosystem Establishing trust in agent driven commerce requires coordination across the ecosystem. The emerging standards and frameworks put forth by agentic commerce ecosystem contributors including Visa, Cloudflare and Skyfire form a layered trust framework that connects identity, payments and network validation, creating a secure path from intent to transaction. Consider a simple interaction that is quickly becoming possible in agent-driven commerce. A consumer might ask their AI agent to find the best noise-cancelling headset for an upcoming trip. The agent evaluates options based on preferences, selects a recommendation, for example a set of Bose headphones, and prepares the transaction for approval. Once authorized, Human-to-Agent Binding confirms the agent is acting on behalf of a verified individual, every step of the journey. The experience remains simple and convenient for the consumer. At the same time, the business has confidence that the transaction is being made by a verified consumer. As AI agents take on a greater role in commerce, accountability becomes essential. Experian Agent Trust includes an Agent Trust Token that provides a real time signal of identity, consent and fraud risk, supported by an Agent Registry that continuously evaluates behavior over time. The framework is platform agnostic and designed to integrate with existing systems, allowing businesses to scale trusted interactions without disruption. Defining the next era of commerce AI agents will reshape how consumers and businesses interact. They will unlock new levels of convenience and personalization, while also introducing new complexity. The organizations that succeed will be those that can establish trust across every interaction, including those initiated by AI. Experian Agent Trust represents a foundational step in defining the trust layer for agentic commerce, extending Experian’s leadership in identity verification and fraud prevention into this next era. Because agentic commerce is not just an evolution of digital commerce. It is a new system. And every system needs a foundation. Experian is helping build the trust layer that makes agentic commerce possible.