The Antidote to Cash Flow Anxiety: 3 Strategies for Building a Financial Buffer

Having a cash reserve helps cover financial gaps, but unless your company has Jeff Bezos “flying-to-outer-space” money, financial leaders can’t keep pulling out cash without taking on risk. In fact, 66% of suppliers are concerned about their cash flow, waiting on payments valued at roughly $840,000 annually. That’s because more than half of business-to-business (B2B) buyers in the U.S. are still struggling to pay invoices on time, according to this study.

Cash flow anxiety is a real thing! Forbes explains it as this: “Businesses don’t fail because demand disappears overnight. They fail because cash runs out.”

We all know what anxiety feels like. Think about it and you’ll start to feel that tightening in your chest. Weird, right? It’s quick to come on because it’s driven by emotions: fear of not knowing what’s next, not being able to change the outcome, and not feeling in control. In the world of B2B payments, that innate response means hoarding cash unnecessarily, which can hold businesses back.

Cash flow anxiety is only growing as finance organizations navigate macroeconomic volatility and step up their strategy – dealing with more unpredictable customer payment behavior, more trade stresses, more innovation pressures. So, what’s the antidote (besides some deep breathing!)? Let’s dive in.

The Answer to Cash Flow Anxiety Isn’t Always Tied to Revenue.

Even if the business is winning deals, it can still be struggling financially. Payroll, rent, tech subscriptions, equipment, loan payments, taxes… it all requires cash in the bank to pay the bills. Survival depends on the actions much further downstream from the sale — if the payments come through.

That’s why forward-thinking CFOs treat cash flow management as a buffer against risk – investing in the right tools and strategies so they can influence the buyer, proactively manage their cash position, and better facilitate cash conversion. Accounts receivable process improvement is actually a low-cost source of working capital, with AR velocity often seen as a creative path to financial liquidity. This helps explain why almost 60% say finance leaders are now among the top leaders influencing strategy and business growth development across the organization.

Here are the top three strategies cash flow anxiety hates to see accounts receivable teams using.

Strategy #1: Use Behavioral Science to Influence Faster Payments

A customer is more likely to open a payment reminder email if it’s sent on day 30 instead of day 90. It’s true. This insight is based on behavioral science gleaned from 13 million buyers. In the world of accounts receivable, it means using real customer behavior to get paid faster.

Behavioral science for AR performance is simple in theory: put the invoice right where the client wants it, facilitate faster payments by giving buyers flexible payment options, and customize payment policies. In practice, however, it requires continuous monitoring of how buyers behave, early warning signals, and proactive risk mitigation plans that enable a finance organization to be predictive and preventative rather than reactive.

Keep monitoring, keep adjusting, and keep optimizing. The whole point is that you’re not looking backwards or working off assumptions. You’re engaging buyers and using what you’ve learned to make it easier to transact, so they’ll pay quickly and then buy more.

50% of CFOs report leveraging digital tools to transform how finance operates as their top priority for the coming year.

As finance navigates change and volatility, AR leaders need AI data science to close payment timing gaps. Imagine if your AR team could see which reminders trigger the fastest invoice remittances, which communication channels are best for collections outreach, and which payment policies help capture funds faster. This requires AI and massive data analytics. We won’t get into the technical details here, as we recently published an eBook on this topic if you want to check it out here.

Strategy #2: Use that Same Data to Get in Front of Financial Risk

Sometimes the biggest financial risk management challenge is knowing what signs to look for. There are proven indicators that a customer is having cash flow problems. A study conducted last year by CFO.com lays out some of the riskiest payment behaviors to watch out for. .

Only 3% of businesses are accurately spotting signs of trouble when analyzing customer data – despite historical data showing that sudden shifts in payment behavior often precede bankruptcy.

Wakefield Research reports that 47% of finance organizations are using AI to monitor behavioral anomalies and unusual activity so they can work proactively. An equal number of companies are using AI to monitor real-time credit worthiness – analyzing both payment patterns and creditworthiness in real-time, predicting trends, and automatically adjusting credit allocations. Advanced tools aren’t just helping companies limit exposure; they’re also showing AR managers where credit line extensions are warranted for high-value, creditworthy buyers.

AI for Cash Flow Management: Not a Magic Button

Yes, AI analytics make it easy to give your entire book of business an accurate credit evaluation — actions that typical AR teams simply didn’t have the resources to reach before. However, AI is not a magic button. The “magic” comes from setting the foundation with accurate information, wide visibility, and behavioral data from both internal and external sources. Knowing how your customers pay you is one thing. But understanding how your customers pay other suppliers can offer broader contextual insight.

• All your AR data needs to live in one place, and it needs to be normalized. Everything needs to “speak the same language.” When data is scattered across systems or formatted in different ways, AI moves slower and less efficiently. Integration is a known roadblock, particularly when it comes to ERP systems.
• Number crunching has to be automated. Humans can’t process millions of data points at once. Automation is what makes large-scale pattern recognition possible – spotting subtle shifts in payment behavior, creeping risk, and cash flow opportunities in real-time.
• Humans can be the biggest challenge. AI’s capabilities have progressed at such a rapid pace that our human ability to trust it has not been able to keep up. Control as well as functional trust and emotional trust must be fostered to champion AI innovation. This resource offers a blueprint for building guardrails and trust around AI.

Strategy #3: Ensure Internal Processes Don’t Slow the Flow

There are only so many minutes in a day, and AR teams spend way too many of them working manually, which slows the velocity of cash deposits.

• Manual invoicing takes about 17 days on average. Automation gets invoices out in closer to three – a 5-6x acceleration.
• Manual cash application takes a small army and dozens of hours weekly. By using machine learning (ML) automation for cash application, one company saw productivity gains equivalent to 9 full time employees. Time saved can now be spent to true cash management optimization (analyzing payment trends, forecasting and mitigating risk, and optimizing the payment mix).
• The heaviest email users (ahem, collectors) spend nearly 9 hours a week managing their inbox. AI helps collections move 10x faster by combing through inboxes and prioritizing accounts. One company reduced annual bad debt by 60% thanks to right-time collections follow-ups.
• Credit teams spend 40-60% of their week grinding through data to get a clear view of customer risk. AI can reduce that time by as much as 90%, and with 90% accuracy. In 2024, 80% of credit risk organizations said they were planning to implement AI automation within the next year.

You can’t control the market or the buyer, but you can control how fast your organization moves. Remove the organizational friction, remove the bottlenecks, and create more cash flow buffer.

Managing Working Capital to Create a Financial Buffer for your Business

A report from VISA found that 86% of growth-focused companies plan to use working capital solutions in 2026. In other words, solutions that help them build discipline around cash flow management so they can protect against risk without slowing business growth.

Here’s what cash management optimization looks like:

• End-to-end connection. Every stage of the order-to-cash process is aligned, and every system that’s connected to cash connects to each other: You see the entire lifecycle of AR, from start to finish, and all systems involved.
• Minute-by-minute accuracy. This is the only way to truly monitor your cash position. You can separate revenue timing from cash timing and expense timing. Most importantly, you can review cash regularly, so small issues can be addressed early when options still exist.
• A measurement framework. Kind of like this periodic table of AR performance elements. Growth-focused companies are elevating KPIs from process-oriented ones to automation-oriented ones. It’s not about how many remittances you processed manually – it’s about how many were auto-applied. Think touchless payments.

Check out the 20 best KPIs for AR, organized by functional area and matched to desired outcomes.

You Can’t Control Everything, but You Can Control AR Performance

At the end of the day, finance leaders can only control so much, but they can do a lot: use data intelligence to influence AR performance, leverage AI to anticipate risk and increase cash flow predictability, reduce inefficiencies to get paid faster, and use incoming cash to drive growth. We’re here to help you every step of the way.