Building a strong cash culture with AI

Robust cash flow is king. Yet many accounts receivable teams find themselves mired in manual processes that are slow and, ultimately, costly. 

With the advent of the digital age, cash application has grown increasingly complex, labor-intensive and subject to errors. As organizations adopt a wider range of payment methods — such as ACH transfers, wires, credit cards and virtual cards — managing these diverse payments brings new challenges. Payments now stem from multiple sources and formats, often missing remittance details and forcing enterprises to hunt down data across bank portals, platforms and email inboxes. The result? Unapplied cash, delayed postings and frustrated customers due to unnecessary collection calls or credit holds. 

Addressing these challenges has brought about an innovation that overhauls operations to reduce errors, speed up payments and transform how teams handle receivables: AI-powered cash application. In an age where every dollar counts, AI is emerging as a game-changer in helping businesses optimize their cash flow processes with precision and scalability.

Ushering in cash excellence with automation

More efficient cash application processes lead to improved cash flow. Embracing cash excellence and a disciplined accounts receivable mindset provides more options to access and allocate funds. Rather than seeking outside financing, companies can instead quickly access cash to fund investments. For example, delayed payments increase DSO (days sales outstanding), potentially limiting a company’s ability to reinvest in its operations. A recent Deloitte survey showed a decline in executives’ confidence in their organizations’ ability to manage cash and liquidity, marking a 9.5% four-year trending decline from 2020. As a solution to this downward trend, leadership cites receivables management as an area that can benefit from AI technology, with 16.9% indicating they’ve already begun incorporating automation. 

The majority of business leaders (64%) believe AI will increase their company’s productivity, along with driving sales growth and enhancing customer relationships. They also expect AI solutions to reduce costs (59% of respondents) and streamline job processes (42% of respondents). The accounting function is no exception, with AI unleashing a new era of possibilities.

How AI accelerates cash application   

With manual methods, employees must resort to digging through records and making best guesses. With an AI-fueled cash application process, funds are delivered faster. By leveraging optical character recognition technology, AI systems scan remittance documents and extract crucial information like customer names, payment details and invoice numbers. Data is then cross-referenced with internal records, reducing the need for manual intervention.

For every payment processed, the technology gets smarter — and even more agile. AI systems fully integrate with ERP platforms, resulting in real-time synchronization of payment data. Once a payment is matched, it’s automatically recorded and updated in the ERP, potentially saving hundreds of hours annually.

Traditional methods of applying cash payments are prone to errors, including misallocated payments or incorrect matches. Since machine learning models analyze historical data and identify recurring patterns, the result is improved accuracy that has a ripple effect across the enterprise. With advanced analytics, teams can handle larger volumes of work without having to increase their headcount. For enterprises managing global transactions, AI can handle thousands of transactions from various regions, payment types and currencies.

Using AI to predict payment behaviors and optimize collections strategies also helps prioritize interventions and streamline cash flow management. McKinsey reports that companies experience reductions in collection costs by up to 15% and a 7% decrease in overdue payments by using AI tools. 

Fostering customer engagement and satisfaction with AI solutions

Retaining customers is critical. It’s estimated to take five to 20 times the amount of resources for an enterprise to acquire a new customer versus retaining an existing one. Overcharging or delays in processing refunds can damage trust with customers and leave a lasting negative impression. With AI, an accounting team can strengthen the brand’s reputation amid a competitive marketplace.

For instance, if a customer makes a payment that covers multiple invoices, a manual process may cause delays or errors in applying that payment correctly, leading to frustration and potential service interruptions. With automation, the payment is automatically split and applied across all relevant invoices in real time. A customer’s account is up to date without requiring them to follow up or dispute erroneous charges.

Managing complicated scenarios confidently

A more streamlined accounts receivable process reduces friction, ensuring customers view your company as a reliable partner and, in turn, leading to increased loyalty. Additionally, AI empowers employees to handle complications with confidence. Along with improving overall accuracy, an automated system will flag any problematic cases as exceptions to investigate further. 

With AI tools, accounting teams will know if and when their intervention is necessary, and they can be assured they’re conveying accurate information to customers. With machine learning algorithms, companies can identify unusual payment patterns quickly, reducing the risk of fraud or financial loss.

With AI-driven cash applications, enterprises can take advantage of a host of efficiencies, including improving cash flow bottlenecks, eliminating payment processing errors and reducing costs. Without cumbersome manual processes, accounting teams can move forth with higher-value tasks like strategic planning and customer relationship building.