Productivity is generally defined as the relationship between the output produced and the resources required to produce it. In credit management, however, the real question is not simply how many invoices a team processes, or how many reminders it sends. It is how much value the team creates for the company, its customers and its other departments.
Improving productivity is a natural part of the evolution of any organisation. We all look for ways to achieve a better result with less effort, less time or fewer resources. Yet productivity is not automatically beneficial. If the savings achieved are smaller than the hidden costs they generate, the company has become less efficient, not more.
This distinction is especially important in credit management, a function positioned between finance, sales and customer relationships. Its contribution cannot be reduced to the cost of an accounts receivable department.
Productivity at any price: a dangerous illusion
Short-term financial objectives sometimes encourage organisations to measure productivity almost exclusively through cost reduction. The arithmetic is attractive: fewer people, lower operating expenses and a seemingly improved financial ratio.
But what happens if those savings lead to unresolved customer disputes, less reliable credit decisions, deteriorating customer relationships, additional overdue receivables or higher bad debt losses?
Beware of apparent savings. The visible cost of a team may fall while the invisible costs of its reduced effectiveness rise. These costs rarely appear in the presentation announcing the success of the reorganisation.
The people closest to customers and operational processes are often the first to notice the deterioration. Yet their observations may be overlooked when management focuses on a narrow cost indicator.
For credit management, the challenge is therefore to improve productivity without sacrificing the value that the function is supposed to create.
What does a credit management team actually produce?
Its activities extend well beyond sending payment reminders. Depending on the organisation, they include:
Preventing customer credit risk
Assessing creditworthiness, defining exposure limits, monitoring risk and proposing appropriate protection.
Accelerating cash collection
Obtaining payments, resolving obstacles to settlement and improving the predictability of cash inflows.
Resolving disputes
Identifying and addressing commercial, administrative or invoicing issues that prevent customers from paying.
Managing doubtful receivables
Identifying potentially unrecoverable debts, coordinating provisions and supporting recovery or legal action when needed.
These responsibilities involve sales, customer service, logistics, finance, accounting, legal teams and customers themselves. The quality and speed of communication between these parties are therefore central to performance.
A purely quantitative measure such as the number of accounts managed per employee or the number of reminders sent per day captures only a small part of this contribution.
Qualitative productivity: create more value with better resources
There are two very different ways to improve a productivity ratio. One is to reduce the resources used. The other is to increase the value of the work performed. In credit management, the second approach often offers far greater potential.
| Cost-focused productivity | Value-focused productivity |
|---|---|
| Reduce staff or time spent per account | Increase the number of customer situations effectively resolved |
| Maximise the volume of reminders | Prioritise relevant actions and remove causes of late payment |
| Measure direct operating costs | Measure cash released, losses avoided, disputes resolved and customer satisfaction |
| Standardise interactions regardless of context | Adapt actions to customer behaviour, exposure and commercial circumstances |
| Risk creating hidden downstream costs | Seek durable improvements across the order-to-cash process |
Better cash flow, fewer losses, more efficient dispute management, stronger collaboration and better customer relationships are all possible outcomes. These improvements can be much more valuable than a modest reduction in payroll costs.
They also change the experience of the people doing the work: instead of spending their days repeating low-value tasks, credit management professionals can apply their judgement to situations where it makes a difference.
Digital tools: the foundation of productivity gains
Credit management is a communication-intensive profession. It depends on reliable information about customers, invoices, payments, promises to pay, disputes and credit exposure. When this information is fragmented between an ERP, spreadsheets, email inboxes and disconnected applications, teams spend too much time finding, reconciling and sharing it.
Appropriate digital tools can centralise this information, automate routine processes, provide a shared history of actions and make collaboration easier. They can also help ensure that no receivable is overlooked.
Interconnection matters as much as automation. Connecting ERP, CRM, invoicing, payment and customer-service systems can eliminate manual re-entry and make data available where it is needed. Functional quality matters too: a platform must translate the company's credit policy into practical workflows, not simply display data.
Solutions such as My DSO Manager illustrate the role of dedicated credit management software in coordinating customer information, collection actions, disputes and performance indicators.
Artificial intelligence: a powerful accelerator, not a substitute for expertise
Artificial intelligence adds a new dimension to qualitative productivity. With relevant, reliable and up-to-date information, AI can help a credit management team analyse more situations, respond faster and focus attention on the actions that matter most.
Understand and prioritise
Analyse payment behaviour, identify emerging risks, highlight unusual situations and suggest which customers or invoices require attention first.
Interpret customer interactions
Help classify incoming messages, detect payment promises or disputes, and propose relevant follow-up actions.
Support everyday communication
Assist with drafting contextualised responses and routine communications while keeping sensitive decisions and complex negotiations under appropriate human control.
Free time for higher-value work
Allow professionals to devote more attention to customer negotiations, complex disputes, credit policy and continuous process improvement.
The potential is considerable: the same team can manage more situations and create more value, without reducing credit management to a race for headcount savings.
But AI is not a credit management strategy. It cannot determine a company's risk appetite, commercial priorities or credit policy. And it cannot compensate for incomplete data, disconnected systems, poorly designed processes or unsuitable business rules. In those circumstances, it may simply automate existing dysfunctions.
Four complementary drivers of performance
- Business expertise defines the objectives and decisions.
- System interconnection makes relevant information available and reliable.
- Functional quality turns the credit policy into effective operational processes.
- Artificial intelligence amplifies the performance of the whole system.
This is also why indiscriminate AI-driven phone campaigns are not necessarily progress in B2B cash collection. Negotiation, complex disputes and customer relationships require discernment. Automating an interaction simply because it can be automated does not make it useful.
For a deeper discussion, see AI, AI... what if we talk about Credit Management again?.
How to implement positive productivity
1. Start with the value you want to create
Define the intended outcomes: cash released, reduced overdue amounts, lower credit losses, faster dispute resolution, more reliable forecasts or better customer experience. Do not begin with a predetermined reduction in staff.
2. Identify the causes of wasted effort
Examine duplicated data entry, missing information, delayed invoices, fragmented communications and recurring disputes. Removing an upstream problem is often more productive than increasing the number of collection actions downstream.
3. Deploy tools that fit the profession
Prioritise integration, functional depth, transparency of actions and usability. Automation and AI should serve a coherent process, not dictate it.
4. Develop the team's expertise
Train employees in credit risk, customer communication, dispute resolution, data interpretation and digital tools. The more powerful the technology, the more important the ability to supervise and use it intelligently.
5. Measure results, including hidden costs
Monitor financial and operational outcomes together. For example, combine DSO, the overdue ratio, the bad debt ratio and collection efficiency with dispute resolution times, customer feedback and workload quality.
A practical example: fewer reminders, better results
Imagine a credit management team sending 2,000 generic reminders every month. A project increases this to 3,000 with automated messages. On paper, the number of actions has risen by 50%. But if many invoices are disputed, already paid or awaiting an administrative document, the additional reminders may generate little cash and more customer frustration.
Now imagine that the team instead connects payment and dispute information, identifies the real reason each invoice remains unpaid, and uses AI to suggest relevant follow-up actions. It might send fewer messages while resolving more issues and obtaining payment sooner.
The second scenario is more productive even if its activity count is lower. The objective is not to produce more actions; it is to produce better outcomes.
Conclusion: productivity should strengthen the profession
Credit management has considerable potential to improve the company's cash flow, profitability and commercial relationships. That potential cannot be realised through cost cutting alone.
Technology, interconnection and AI provide unprecedented opportunities, but their value depends on the quality of the processes and the expertise of the people who design and operate them.
The most productive credit management team is not necessarily the smallest or the one that sends the most reminders. It is the one that creates the greatest sustainable value.