For decades, capacity in debt collection followed fairly simple arithmetic. More accounts required more calls. More calls required more people. 

That equation is becoming harder to sustain.

In my recent Receivables Podcast conversation with Pete Klipa, Chief Client Experience Officer at Harvest Strategy Group, we discussed an industry operating under two pressures at once. First, growing account volumes, and second, persistent challenges around hiring and retaining employees. 

Organizations could once “throw bodies” at a problem. Today, that is becoming a less practical answer.

The Headcount Formula is Changing

Hiring has a cost long before a new collector becomes fully productive.

Recruiting takes resources. Training takes time. Managers have to support new employees as they learn systems, policies, client requirements, and collection procedures. 

Hiring and training can be expensive, making operational efficiency increasingly important for organizations looking to manage growth without continually expanding headcount. 

That is why workforce planning must account for technology-driven productivity alongside traditional staffing.

Find the Work That Does Not Need a Collector

Repetitive manual work is one of the most practical areas for automation. Tasks such as summarizing large datasets or consolidating information across multiple spreadsheets can consume hours of employee time despite requiring relatively little judgment.

Automating these processes can reduce the time spent assembling information and allow employees to focus on analysis, decision-making, and other work where their expertise adds greater value.

The significance is that a spreadsheet moved faster. But more than that, every hour removed from repetitive administrative work is capacity that does not have to be created through recruitment.

Data preparation, report summarization, document review, routine analysis, and other administrative tasks may consume employee time without requiring the judgment or communication skills for which those employees were hired.

Removing that work can create capacity before another seat is added.

Capacity Should Be Measured in Output, Not Seats

Headcount is easy to see, which can make it an attractive proxy for capacity. If an agency has 100 collectors and hires another 20, it appears to have increased capacity by 20%.

But the real question is what those people and the systems around them can produce.

A technology investment that helps an existing team absorb additional volume can change the relationship between growth and labor. But technology does not automatically create capacity. If a poorly integrated tool adds layers of review, correction, or duplicate work, the organization may simply trade higher labor costs for higher technology costs without gaining meaningful efficiency.

The impact should eventually show up in business performance. Profitability, solvency, performance, and compliance outcomes can then provide a broader measure of whether those efficiencies are translating into sustainable operational gains.

The Best Automation May Sit Behind the Collector

Some of AI’s most practical opportunities may exist behind the scenes.

In areas such as contract and policy review, data analysis, and quality assurance, AI can handle an initial layer of synthesis or review, allowing employees to focus their attention on exceptions, interpretation, and decisions that require greater judgment.

A collector does not become more productive because technology simply asks them to work faster. Productivity improves when fewer minutes of the day are consumed by tasks that do not require their expertise.

The same principle can extend beyond collectors. Compliance professionals can spend more time investigating exceptions instead of manually reviewing every item. Analysts can spend more time interpreting findings instead of assembling datasets. Managers can focus on decisions rather than preparing information for those decisions.

In such a model, automation does not create capacity in one department. It removes low-value workload across the operation.

The New Hiring Question

Despite the technological changes underway, collections remains a business where organizations “win with people,” with human intelligence operating alongside artificial intelligence. The strategic change is therefore not people versus technology. It is the order in which capacity decisions are made.

When volume increases, hiring does not have to be step one.

Organizations can first identify repetitive work, determine where existing employees are losing productive time, automate tasks with clear efficiency potential, integrate those changes into the underlying workflow, and then evaluate the remaining capacity gap.

Only then does the organization know whether it actually needs another collector.

 

For more conversations on workforce strategy, artificial intelligence, operational efficiency, and the changing economics of receivables management, explore ReceivablesInfo.com.

About Adam Parks

Adam Parks, MBA, is the Founder and CEO of Receivables Info and a recognized leader in the receivables management industry. With nearly two decades of experience spanning debt portfolio management, technology, consulting, marketing, and operations, he brings a practical perspective to industry transformation.