Mistras adopts Sidetrade AI to speed cash collection

Mistras Group has selected Sidetrade's autonomous AI agent, Aimie, to manage cash collection across its order-to-cash processes, making the US industrial testing company an early adopter of agentic AI in finance operations.

Mistras said several Aimie agents will contact customers, qualify disputed invoices, prioritise collection actions and adjust strategies across thousands of accounts. Finance staff will continue to oversee governance and handle exceptions.

The move extends the company's use of predictive methods beyond industrial asset monitoring into working capital management. Mistras has spent decades helping industrial clients identify faults before they disrupt operations, and is now applying a similar focus on early intervention to receivables and collections.

For finance teams, the project marks a shift from software that offers recommendations to software that acts within set rules. In this case, the AI system is designed not just to suggest the next step to a collector, but to determine and carry it out under defined policies and escalation procedures.

US payment delays

The backdrop is a tougher collections environment in the US. Data cited by Sidetrade shows US companies are paid an average of 25 days past due, compared with 18 days in Europe.

That gap can tie up cash for longer and increase exposure to late-payment risk, making cash flow less predictable. For companies with large customer bases and high invoice volumes, delays also add to manual work in finance departments as staff chase payments, handle disputes and decide which accounts to prioritise.

Aimie is designed to work across large numbers of accounts at once, using customer payment behaviour and live interactions to shape its actions. It is integrated into Sidetrade's order-to-cash platform, allowing it to update cases and modify collection workflows without waiting for manual input.

Sidetrade presents this as a practical example of AI moving deeper into day-to-day finance operations. Rather than serving as a digital assistant to staff, the software is positioned as an operational tool that can carry out routine collection work at scale while humans remain responsible for controls and exceptions.

Broader trend

The deployment also reflects a broader debate among Chief Financial Officers over how much authority should be delegated to autonomous systems. Questions around auditability, oversight and the division between machine-led and human decisions are becoming more pressing as AI tools move from analysis to execution.

Mistras's decision will likely be watched by finance leaders considering similar technology for receivables, collections, and dispute management. Order-to-cash processes have long been targeted for automation because they are repetitive, data-heavy and closely tied to liquidity, but handing direct execution to AI marks a more significant step.

Sidetrade, which focuses on order-to-cash software and AI, said its models are trained on nearly USD $10 trillion in business-to-business transactions and data from close to 45 million buying companies. It says that data supports AI systems that monitor, analyse, decide and act across the order-to-cash cycle.

The company operates in 85 countries and employs 450 people across Europe, North America and Asia-Pacific. Mistras, listed on the New York Stock Exchange, provides industrial asset integrity services and laboratory testing for customers seeking to detect failures before they affect operations.

At Mistras, the immediate test will be whether an AI-led collections process can improve payment timing without weakening customer relationships or internal controls. Under the arrangement, finance teams retain oversight of governance and exceptions, while the software takes on the operational work of contacting customers, qualifying invoice disputes and deciding collection priorities across thousands of accounts.