AI could reshape collections long before an invoice becomes overdue.
Artificial intelligence is beginning to play a larger role in how businesses manage their financial operations. From assessing credit and issuing invoices to monitoring payments and managing outstanding accounts, organizations are exploring how AI can connect information, identify potential issues, and support better financial decisions.
A recent announcement from Mondelēz International, the global food company behind familiar brands such as Oreo, Cadbury and Ritz, offers an example of where this technology may be heading.
Behind these household brands is a complex financial operation involving millions of transactions.
On November 5, 2026, Mondelēz announced a collaboration with technology consultancy Accenture to introduce agentic AI into its order-to-cash operations, covering the financial journey from receiving a customer’s order and assessing credit to issuing invoices and collecting payment.
The initiative illustrates an emerging opportunity: using AI not simply to assist with individual activities, but to help organizations better understand and manage the entire financial process.
From answering questions to handling workflows
Traditional AI tools are often designed to respond to prompts, retrieve information or assist with individual tasks. Agentic AI takes a broader approach. It’s designed to carry out tasks across multiple stages of a process, using information and instructions to determine what needs to happen next.
In an order-to-cash environment, this could mean helping coordinate activities between finance, customer service and supply chain teams. Instead of information sitting in separate systems or departments, AI-powered tools can help connect different parts of the operation.
For Mondelēz, the anticipated benefits include improved cash flow, faster payment collection, better visibility into transactions and quicker resolution of customer issues.
The announcement describes a planned transformation, rather than results already achieved. Nevertheless, it offers a glimpse into how major businesses are beginning to approach AI.
What does this mean for collections?
For collection agencies and accounts-receivable professionals, the development raises an important question: what happens when AI becomes involved earlier in the payment process?
Traditionally, collections often enter the picture after an invoice becomes overdue. But improving the processes that come before that point could help businesses identify payment issues sooner, resolve disputes faster and maintain better communication with customers.
That doesn’t mean human collectors become unnecessary. Financial situations can be complicated, and deciding how to approach a customer, negotiate a payment arrangement or resolve a disagreement still requires judgment.
Instead, AI may offer another way to manage the administrative work surrounding those decisions, allowing professionals to focus on situations that genuinely need their attention.
The bigger picture
The Mondelēz announcement reflects a broader shift in how businesses are thinking about automation. Rather than simply looking for individual tasks to speed up, they’re exploring ways to connect entire operations.
For the collections industry, that could eventually change how accounts are monitored, how payment issues are addressed and how teams coordinate their work.
The technology is still developing, and its practical results will take time to evaluate. But one thing is becoming clear: the future of collections may involve AI long before an account is officially overdue.
The next evolution of debt collection might not begin with chasing unpaid invoices. It might begin with preventing them from becoming overdue in the first place.
Based on an announcement by Mondelēz International and Accenture, November 5, 2026.