Tag: Decisioning

Manual processes are quietly expensive. Every handoff between teams, every file transfer waiting in a queue and every decision that sits on someone's desk adds cost, introduces risk and slows the customer experience. For financial institutions, those delays translate directly into lost revenue and eroded margins. That’s why workflow automation is becoming critical for financial institutions looking to stay competitive. Done well, it doesn't just make existing tasks faster. It reshapes how decisions get made across the entire customer lifecycle, from the first marketing touch to account servicing and beyond. What is workflow automation? Workflow automation is the use of technology to run a sequence of tasks, decisions and handoffs with minimal manual intervention. Instead of a person moving work from one step to the next — pulling data, applying a rule, routing an account and sending a communication — software executes those steps automatically based on defined logic and real-time data. For financial institutions, workflow automation usually combines four ingredients: Data Connecting to the internal and external data sources that inform a decision. Analytics Scores, models and attributes that turn raw data into insights. Decisioning A rules engine that determines the right action for each customer or account. Execution The operational layer that carries out the action, whether that's an offer, a credit line change or outreach. The benefits of workflow automation The value of automation goes well beyond "doing the same thing faster." The benefits financial institutions consistently see include:Greater efficiency and lower operating costsAutomation frees underwriters, analysts and agents to focus on exceptions and high-value work rather than repetitive processing. Faster, more consistent decisionsA credit application that once waited in a queue can be assessed in real time against consistent, auditable policies, improving both the applicant's experience and portfolio quality. Better customer experiencesAutomation enables financial institutions to personalize communications at the point of interaction and offer the self-service options that many people now prefer. Improved compliance and governanceReduce the risk of costly compliance failures with built-in controls, audit trails and guided workflows. ScalabilityRespond to changing volumes without sacrificing speed, consistency or the customer experience. Where workflow automation makes the biggest difference Workflow automation tends to deliver the most value where decisions are frequent, repeatable and informed by data. In financial services, those opportunities exist across the customer lifecycle. Onboarding Onboarding is a customer's first experience of your organization, and it's also where friction can cause customers to abandon the process and turn to another provider. Forty percent of U.S. consumers have considered walking away from opening a new account when the process felt burdensome.1 An automated onboarding workflow can bring together document verification, device intelligence, behavioral analytics, credit attributes and more, then orchestrate them into a single decision. The result is a lower-friction experience for the customer and a consistent, auditable process. Once customers are on the books, serving them well means making continuous, high-volume decisions: credit line changes, cross-sell and up-sell opportunities, risk monitoring and retention actions. Automation makes it practical to run these recurring decisions consistently across an entire portfolio, using a holistic view of each customer that draws on multiple scores and attributes. Lending The underwriting process is a great example of how workflow automation can help prevent applicants from waiting days for an answer. Loan origination and credit decisioning capabilities are designed to create a seamless review process across consumer and commercial lending. After automating originations with our solutions, Michigan State University Federal Credit Union cut application processing time to under 24 hours. Fraud Financial institutions are checking fraud at every touchpoint, and the standard for AI fraud detection continues to rise as fraudsters use AI to slip under the thresholds of any single detection tool. Rather than running fraud checks in isolation, an automated workflow can run multiple fraud and identity verification services in parallel and weigh signals together. A fraud decisioning platform connects signals across internal systems, Experian data and third-party services, allowing teams to stay on top of evolving threats. Build a strong foundation for workflow automation Workflow automation can connect these stages, creating a consistent decisioning framework. What ultimately separates good automation from great automation is the quality of the data and decisioning software underneath it. An automated workflow is only as good as the information feeding it. That's where our comprehensive credit, alternative and identity data with the tools financial institutions need to act on it. Learn more here FAQs How does automated decisioning improve credit decisions? Automated decisioning applies consistent logic to every account in real time or in bulk, enabling faster and more informed decisions, quicker responses to market and regulatory changes at the point of interaction. What is workflow automation in financial services? It's the use of software to execute sequences of data gathering, analysis, decisioning and action. Does workflow automation replace human judgment? No. The goal is to automate routine, high-volume decisions so skilled staff can focus on the exceptions and complex cases that genuinely require human judgment. For example, a sensitive collections conversation or a nuanced underwriting call. Are we still compliant with regulations if we use an automated workflow process? Well-designed platforms include built-in governance, audit trails and compliance controls that help institutions align with requirements like the Fair Credit Reporting Act (FCRA) and other regulatory guidelines improving compliance compared with manual processes. How long does it take to implement? It varies by solution and scope, but modern cloud-based platforms are designed for fast onboarding and limited IT involvement. 1Global Fraud Snapshot 2025: Opportunities and challenge in identity, fraud and financial crime

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Lending hasn’t slowed down—but many decisioning processes have. Applications are coming in faster. Fraud is becoming more sophisticated. Borrowers expect near-instant responses. And yet, inside many organizations, decisions are still being made across fragmented systems, manual reviews, and rigid strategies that weren’t designed and aren’t optimized for today’s environment. That broadening gap isn’t just an operational issue but often stems from a lack of innovation as well. And it’s quietly costing lenders growth, efficiency, and competitive position. When decisioning falls behind, some symptoms are easy to recognize, like applications taking days to process, teams overloaded with manual reviews, and credit and fraud decisions happening in separate platforms. Others are not as obvious, but arguably more impactful, slipping bottom lines and fraud and therefore losses lurking in lenders’ portfolios. The root issue is a fragmented infrastructure. Experian has reported that while 79% of financial institutions surveyed globally want fewer vendors or more unified approaches, they typically use eight or more tools across credit, fraud and compliance. As most decisioning environments cannot integrate data, adapt strategies, and execute decisions in real time, lenders often have to make tradeoffs. Speed vs. accuracy; growth vs. risk; and automation vs. control are just some. Meanwhile, the market has moved on. Leading lenders are no longer optimizing individual steps. They’re rethinking decisioning as a connected, intelligent system. Gaps forming from status quo in 8 key decision areas Across the lending lifecycle, there are eight critical moments where decisioning can either accelerate growth or create friction. Pre-qualification: Pre-qualification should expand your funnel with confidence. But limited data access and static criteria often result in overly conservative targeting or missed opportunities. Additionally, the delay in acting on a pre-qualification funnel highlights a key area for opportunity among many lenders. Instant credit decisions: Customers expect real-time outcomes. When decisions rely on manual intervention or fragmented inputs, speed and conversions suffer. Prescreen and targeting: Disconnected data and rigid segmentation can lead to poorly aligned offers, reducing response rates and wasting acquisition spend. Credit line management: Without dynamic strategies, credit lines may be too restrictive (limiting growth) or too aggressive (increasing risk). Early delinquency management: Missed early signals and delayed interventions make it harder to prevent accounts from deteriorating. Mid- and late-stage delinquency: Strategies that don’t adapt to evolving borrower behavior reduce recovery effectiveness and increase losses. Collections and recovery: Manual, one-size-fits-all approaches limit recovery rates and increase operational cost. Ongoing strategy optimization: Perhaps the most overlooked gap: many lenders lack the ability to continuously test, learn, and refine decision strategies as conditions change. What these gaps are really costing you Individually, each of these breakdowns may seem manageable. Together, they can create systemic drag on performance. That shows up in four critical ways: Missed growth opportunities: Good borrowers are declined, abandoned, or never targeted in the first place. Credit offers fail to align with actual borrower potential. Higher operational costs: Manual reviews and disconnected workflows consume time and resources that could be spent on higher-value work. Increased fraud exposure and friction: Fraud is proliferating and becoming more expensive to manage. The Federal Trade Commission reported $12.5B were lost to fraud in the U.S. in 2024, a 25% increase over the prior year. For many financial institutions, the first reaction is often to add more steps to the decisioning process, which can impact good borrowers. Increased competitive pressure: Fintechs and modern lenders are focused on delivering faster, more personalized experiences, capturing share while traditional processes lag behind. 80% of banks and credit unions plan to increase their technology spending in 2026, yet many continue to fall short on planned system deployments, according to Cornerstone Advisors’ annual “What’s Going On in Banking” research report. What innovative decisioning leaders are doing differently Leading lenders are changing how decisions are made, creating a competitive advantage. Instead of stitching together point solutions, they’re adopting a more integrated approach that brings together: Comprehensive data – including both credit and fraud insights Optimized decision strategies – designed to balance growth and risk Real-time execution – enabling faster, more consistent outcomes Continuous optimization – adapting to changing market conditions Strategic partnerships – leveraging third-party industry expertise to augment their own This shift eliminates the need for tradeoffs and instead allows lenders to increase approvals while maintaining control, reducing manual effort while improving consistency, and responding faster without sacrificing confidence. The stakes are high and the competition for consumers is even higher, particularly against a backdrop of ever-evolving fraud risks, continuously increasing consumer expectations for seamless, digital-first experiences and often limited resources. Nearly half of banks and 59% of credit unions have already deployed generative AI, with more investing now, according to the Cornerstone Advisors’ report. Closing the innovation gap requires a more fundamental shift toward decisioning systems that are connected, scalable, and built for continuous change. A new foundation for decisioning This is where platforms like Experian Decisioning are changing the landscape. By bringing together credit and fraud insights, decision strategies, and a flexible technology architecture, lenders can move beyond fragmented processes and build a more unified, intelligent decisioning approach. One that fits within existing systems but also evolves with your needs. Where to start Impactful change doesn’t need to be an overhaul of everything at once for most organizations. The first step is understanding where your biggest gaps exist, and which decision areas are creating the most friction or missed opportunity. Once you can see where decisioning is not optimized, you can begin to redesign it in a way that’s faster and more adept for what lending has become. By making better decisions, faster, and with greater confidence, lenders can process applications more efficiently and also break away from the pack by leveraging decisioning as a strategic advantage. Learn more

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In today’s evolving and competitive market, the stakes are high to deliver both quantity and quality. That is, to deliver growth goals while increasing customer satisfaction. OneAZ Credit Union is the second largest credit union in Arizona, serving over 157,000 members across 21 branches. Wanting to fund more loans faster and offer a better member experience through their existing loan origination system (LOS), OneAZ looked to improve their decisioning system and long-standing underwriting criteria. They partnered with Experian to create an automated underwriting strategy to meet their aggressive approval rate and loss rate goals. By implementing an integrated decisioning system, OneAZ had flexible access to data credit attributes and scores, resulting in increased automation through their existing LOS – meaning they didn’t have to completely overhaul their decisioning systems. Additionally, they leveraged software that enabled champion/challenger strategies and the flexibility to manage their decision criteria. Within one month of implementation, OneAZ saw a 26% increase in loan funding rates and a 25% decrease in manual reviews. They can now pivot quickly to respond to continuously evolving conditions. “The speed at which we can return a decision and our better understanding of future performance has really propelled us in being able to better serve our members,” said John Schooner, VP Credit Risk Management at OneAZ. Read our case study for more insight on how automation and Experian Decisioning can move the needle for your organization, including: Streamlined strategy development and execution to minimize costly customizations and coding Comprehensive data assets across multiple sources to ensure ID verification and a holistic view of your prospect Proactive monitoring and real-time visibility to challenge and rapidly adjust strategies as needed Download the full case study

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