Accelerating AR Solutions Using FinTech Tools

Late payments rarely look like a crisis, until they are. Revenue is booked. Customers are active. Everything appears fine. But cash moves slower, forecasting gets harder, and finance teams quietly spend their time chasing money instead of running the business. An automotive services company came to us with a serious delinquency problem in their AR. They did not hire collectors. They did not change payment terms. They did not pressure customers. They deployed Chargezoom’s autonomous, intelligent dunning, and only for late invoices. Here is what happened in one quarter: • Late invoices paid 46.9% faster • Payment time dropped from 40.5 days to 21.5 days • $2.7M collected in the first 85 days • $11.6M in annual revenue accelerated by 19 days • ~$604K in working capital freed up • 112 hours of manual collections work eliminated The behavior change was unmistakable: • Monday payments doubled • 51% of customers paid within one week of the first outreach • Median response time was 7 days This was not static automation. It was not a fixed email schedule or a generic reminder sequence. Chargezoom’s autonomous AR adapts timing, messaging, and follow up based on intelligence from the Payment Graph, not hardcoded workflows. Most AR automation platforms stop at task automation. They send the same messages, on the same schedule, to every customer. That is not autonomy. That is just software doing what it was told. Autonomous AR requires intelligence. It requires understanding how customers actually pay, not how a workflow was designed. And one more important point. These results came from delinquent invoices only. When intelligence is applied to the real bottleneck, the impact is immediate. Autonomous AR is not about sending more reminders. It is about building systems that know when, how, and why customers pay.

77% of Accounts Receivable (AR) teams struggle to keep up with workloads. Traditionally, AR’s core tasks are undertaken manually. It hits workloads hard, is a major source of frustration for AR teams, and is often the reason why teams lose talent. It’s also a source of frustration for customers. Customers who have a poor experience spend 140% less than those who have a positive customer experience. AI is already revolutionizing customer service functions and is set to transform the customer experience within AR. ↪️ 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 AI-driven platforms collect customer data, which is used to tailor emails and other communications. Integrating AR systems with key business systems, such as ERPs and CRMs, can tie payment records to any customer interaction. Personalizing payment reminders ensures customers feel valued (not just another number on a spreadsheet), improving the overall collection process. ↪️ 𝗔𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗛𝗶𝘀𝘁𝗼𝗿𝘆 Leveraging AI to analyze your payment data helps your AR team proactively manage customers at risk of defaulting before the issue can escalate. From putting a payment plan in place to initiating the collections process earlier, AR teams have an opportunity to demonstrate empathy and strengthen customer relationships. ↪️ 𝗦𝗲𝗹𝗳-𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗣𝗮𝘆𝗺𝗲𝗻𝘁𝘀 Making it as easy as possible to pay means there are fewer excuses for customers to delay payments and keeps the Day Sales Outstanding (DSO) metric low. 67% of consumers would rather use self-service than speak to a company rep. Incorporating direct links in payment reminders, comprehensive FAQs, and AI chatbots for simple queries eliminates the need for customers to talk to AR when problems arise. Customers can pay when it suits them, not only during office hours. ↪️ 𝗛𝗶𝗴𝗵𝗲𝗿 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 By diverting simpler queries and time-consuming AR tasks to AI-powered finance systems, AR professionals have more time to focus on strategic tasks and managing relationships. So when a customer does need to talk to an AR team member, the conversation is more focused, rooted in a deeper knowledge of their account, and overall more positive. Brands that optimize customer experience achieve 5.7 times more revenue than their counterparts. But customers don’t only interact with sales or customer service teams. Every part of the business has a role to play, including finance. Let me know your thoughts in the comments 👇 Sources: PYMNTS, Harvard Business Review, Nuance Enterprise, Forrester #AI #automation #accountsreceivable Looking to bring your AR process into the 21st century?  Take a spin with Tesorio → https://lnkd.in/ePNwpV_M

I interviewed David Bork, Head of AR Solutions at Boost Payment Solutions - https://lnkd.in/e2KQxp4N - David stated their multi-patented straight-through processing (STP) technology, Boost Intercept®, helps customers reduce their days sales outstanding (DSO) by over 40%, allowing them to get paid faster while unlocking working capital and improving cash flow. The interview also explores how embracing automated accounts receivable (AR) solutions and commercial cards can improve operational efficiency, reduce fraud, optimize operations, and more. #payments #crossborderpayments #accountsreceivable #commericalcards #automation #paymentfraud #paymentssecurity #cashflow #workingcapitalmanagement #corporatetreasury #treasurer #treasuries #cfo #finance CTMfile Daniela Burn Rebecca Schultz Dean M. Leavitt Seth Goodman Stephen J. Masko Alejandro Macias

There’s a cold, hard truth about AR. Automation alone can't collect cash. Smart AR teams, empowered by AI, do. Over the years, I’ve spoken to many #finance leaders across markets and industries. Every one of them had the same problem - thousands of overdue invoices and only a handful of human resources compounding manual busywork and inefficiencies. In my opinion, AR teams are accelerating the wrong playbook. So what’s the best play in this economic climate? Capture and respond to the smallest of micro-signals that predict the health of your cash flows for the next 12 months. 💭 Slower response rates, missed early-pay discounts, drifts in payment methods, increase in bounced payments, and credit limit utilization spikes might indicate a cash-flow squeeze 💭 Credit score dips within the same quarter, industry lay-offs, funding freezes, sudden requests for higher credit might indicate a red flag for the entire customer cohort Similarly, there may be other signals which indicate workflow blockage, rationing of cash, relationship fractures, or supply chain stresses. These directly threaten cash flows - but seldom surface in any aging report. They live in emails, portal activity, social signals, and other places where traditional automation would never look. When #AI connects the dots, finance teams can: 🔶 Segment by real-time risk, not static buckets 🔶 Intervene before any missed payments  🔶 Adjust credit terms dynamically and limit their risk exposure 🔶 Forecast with over 90% accuracy TL;DR: #Automation does half the work. The other half depends on how quickly you can leverage AI to make more proactive decisions. The sooner you do that, the sooner you can ring-fence your cash position and customer relationships. #AccountsReceivable #CFO