Esker earns top marks across 10 performance criteria, showcasing its leadership in AI-driven cash application automation

LYON, France & MIDDLETON, Wis.: Esker, the leading AI Automation Suite for the Office of the CFO, today announced that it has been recognized in The Hackett Group® Digital World Class® Matrix for Cash Application Software. Esker was named a Top Performer across 10 criteria, a recognition that sets Esker apart from and above the competition.

The Cash Application Software Digital World Class® Matrix highlights 15 leading software vendors and their impact on customer-to-cash processes, based on The Hackett Group’s evaluation across multiple criteria using vendor briefings and customer data input.

Cash application is a critical process for Finance teams, as it directly affects a company’s cashflow, customer relationships and overall financial health. AI-powered automation streamlines the process by accelerating cash inflows, reducing errors and boosting efficiency across the entire accounts receivable process.

According to The Hackett Group’s 2025 Finance Key Issues Study1, optimizing cashflow performance has become the number one priority for CFOs. Automating the cash application process helps Finance teams reallocate 63% of staff, decrease process costs by 43% and free up unapplied cash to fuel business operations.

Esker Cash Application eliminates repetitive and error-prone tasks in the cash allocation process by reconciling all types of incoming payments to open items with AI-powered remittance management and auto-matching. Cash is allocated faster, cashflow is optimized and visibility established for all receivables.

“Esker Synergy AI intelligently extracts and matches data — even from complex remittance formats — reducing processing time from hours to minutes and delivering real-time visibility into cash inflows,” said Bryan DeGraw, Associate Principal and Senior Research Director for Finance Market Intelligence at The Hackett Group®. “The easy-to-navigate and user-friendly interface helps the Cash App Analyst understand immediately what needs to be done and focus on the exceptions that matter most.”

Esker’s recognition in the Digital World Class® Matrix highlights the company’s commitment to innovating the invoice-to-cash process and advancing AI-driven automation for greater operational impact. Esker received 10 Top Performer badges for critical factors to consider when selecting cash application software, including:

• Multi-ERP integration capabilities
• Agentic AI-powered automation
• Scalability and global support
• Remittance capture flexibility
• Real-time cash visibility
• Customization and user experience

“We innovate with the goal of creating meaningful impact,” said Maud Berger, AR Product Manager at Esker. “This recognition from The Hackett Group® reflects our commitment to helping Finance teams improve cashflow, simplify operations and concentrate on those activities that drive success.”

For Eagle Foods, the case for automating cash application with Esker was undeniable. The results were transformative: The company cut large remittance processing time by half, lowered open deductions by 80% and reduced cash posting time by 60%.

Access a complimentary copy of The Hackett Group® Digital World Class® Matrix for Cash Application Software here.

About Esker

Esker’s AI Automation Suite for the Office of the CFO leverages the latest in Agentic AI and automation technologies to optimize working capital and cashflow, enhance strategic decision-making, and improve human-to-human relationships with customers, suppliers and employees. Esker’s Source-to-Pay and Order-to-Cash solutions automate any business process while supporting long-term growth strategies. Offering 40+ years of industry knowledge, Esker operates in North America, Latin America, Europe and Asia Pacific with global headquarters in Lyon, France, and U.S. headquarters in Madison, Wisconsin. To learn more about Esker, visit www.esker.com, follow us on LinkedIn and join the conversation at esker.com/blog.

Fonte: Business Wire