How Automation Helps Collections Managers Lead Stronger Teams and Recover Cash Faster

74% of accounts receivable teams spend a moderate or significant amount of time every week chasing down late payments. The people responsible for that work are collections managers, and they're working harder than ever for diminishing returns. 

It’s their job to make sure the collections team is making the best use of their time, prioritizing their attention on the delinquent accounts that need it, and taking the optimal next steps to free up cash flow. All while handling escalations, monitoring overall performance, and often doing on-the-ground collections work themselves. It’s a tall task that’s both laborious and time-consuming in a manual collections environment. 

And the cost of staying manual is high: cash flow stalls while overdue accounts age past the point where collections activity actually works; customer relationships fray under inconsistent follow-up; teams are led on best guesses instead of evidence; and collections managers can't tell what's working until it's too late to course-correct. 

But automation designed specifically for collections changes that by giving managers a clearer line of sight into overdue accounts and the actions being taken to collect. It streamlines their day-to-day workload, helps them prioritize the highest-risk accounts, builds workflows that ensure their teams take the best next step every time, and surfaces the performance data that drives continuous improvement. 

To get a clear picture of what that shift looks like in practice, we spoke with Jodi Bergman, Senior Director of Product Management at Versapay, who has spent years working alongside collections teams and the managers who lead them.

81% of finance leaders say collecting outstanding receivables is a significant challenge, and managers feel it most acutely. Too many spend their days trying to piece together a picture of what their team is doing without ever getting the full view, leaving them reacting to yesterday’s problems instead of getting ahead of tomorrow’s. 

By adding visibility into every collections activity, automation lets managers transform their day-to-day. The result is faster revenue recovery and stronger confidence in cash flow.

Collections teams juggle a lot—following up on late payments, negotiating payment plans, resolving customer disputes while maintaining strong relationships—across a wide range of customer accounts. With so many moving pieces, it’s up to managers to make sure nothing falls through the cracks: assigning new accounts, redistributing work when it gets uneven, covering vacations, and stepping in when collectors get stuck.

In a manual environment, collections managers typically track customers and assignments in spreadsheets. Collectors report on completed tasks through email, and managers consolidate that information as best they can. 

When time off needs to be covered or workloads become unbalanced, the spreadsheet gets reshuffled. But context is often lost in the handoff, and the replacement collector starts at a deficit. Signals get missed too—an account that needs extra attention, another that needs a different outreach approach—and opportunities for faster recovery slip by. 

The cost shows up in collector frustration and in cash that stays parked longer than it should.

Collections automation gives managers a single view of every active account and every collector’s workload. High- and low-touch accounts are visible at a glance, so assignments can be balanced by effort, not just by customer count—without rooting through spreadsheets. 

Collectors log notes and customer calls in the same place, too. When someone goes on vacation or leaves the team, the next collector picks up with the full record of prior interactions, not a hurried handoff email.

Collections managers don’t just assign accounts and walk away. They’re invested in making sure their team gets results, which means helping collectors prioritize follow-ups on the accounts that need it most, and ensuring they’re using proven processes for each.

When it comes to figuring out the best next steps and putting together workflows that work, collections managers don’t have much to go on in a manual environment. Aging reports are stitched together from their enterprise resource planning system (ERP), emails, collector’s notes, and spreadsheets. Even when the picture comes together, it’s a snapshot, not a real-time system—and the work to build it eats time that should go toward leading the team. 

Without concrete evidence to lean on, managers fall back on gut instinct and anecdotal experience to guide their collectors on what to prioritize and how to approach each account. Sometimes that advice moves the needle. Often it doesn’t. And without measurement, there’s no way to tell which efforts are successful—so the same approaches get repeated, working or not, and cash that could be recovered stays out of reach.

Automated collections solutions that use AI to read customer behavior signals and historical payment patterns can segment accounts by risk. This means managers know exactly how much attention each one needs and can tailor collections strategies accordingly. Preset workflows then guide collectors on the next best step, with automated triggers handling the predictable touches so collectors focus on the moments that need a human. 

Every sent email, made call, and promised payment is captured against the customer’s account in one place. Managers see what’s working and what isn’t in real time, and adjust the team’s approach with evidence instead of intuition.

There are certain situations a collector can’t handle alone. When an account is approaching bad debt, for instance, and nothing they try is working at resolving the payment issue, or when a customer disputes a charge and they’re unable to find an agreeable solution. At that point they’ll escalate the account, and the collections manager will step in.

In a manual collections environment, there’s no clear signal for when to escalate. Without rules or thresholds in place, collectors are left to make the call themselves, and the default is often to keep trying. So disputes drag on longer than they should. When the handoff finally happens, it’s typically an email with whatever details the collector can recall, which is easily lost in a busy inbox and often missing key context. 

To pick up the thread, managers have to start a back-and-forth with the customer, frequently treading the same ground the collector already covered. The repetition isn’t just inefficient. It signals to the customer that no one is really in charge of their account.

With automation, handoff points are defined in advance. Disputes above a certain monetary threshold, accounts approaching bad debt, or customer issues that have stalled for too long are flagged automatically and routed to the manager. 

The collections manager also has full visibility of everything that’s been done so far, including an audit trail with collectors’ notes attached for added context. This way, they can easily pick up where their collector left off—avoiding repetition and potential customer friction.

To understand how well their team is doing at collecting payments and freeing up cash flow, collections managers need a way to measure performance. This means tracking collectors’ activities and measuring them against key goals. Managers can use this information to report performance to higher authorities and make any necessary changes for continual improvement.

In a manual collections environment, where customer account and payment data is fragmented and visibility limited, measuring performance is largely focused on tracking the number of calls collectors make, or touch points they’re able to hit. In other words, it’s the collections activities they’re measuring, and not the actual results. 

Because there’s no easy way to track and compare ongoing metrics like days sales outstanding (DSO), average days delinquent, or the team’s collections effectiveness index, these can get overlooked. As a result, collections managers end up with limited visibility into how well the team is actually doing at recovering revenue, and limited evidence to bring to the executive team.

With connected data and a real-time view into all collections activities, the right platform will let managers see exactly how their team’s performance stands, and how it changes over time. Open receivables, aging reports, and forecasts can be viewed across the entire business, by customer segment, or by individual collector. 

Activity counts give way to the metrics that matter: DSO, average days delinquent, collections effectiveness. Managers can report a consolidated view of performance, forecast cash flow more confidently, and make evidence-backed decisions about where to focus the team next.

In a manual environment, collections managers spend their days piecing together aging reports and sifting through disparate data sources—and they still don’t have the visibility they need to lead with evidence. Automation takes that triage off the table, so what’s left is the work that actually moves cash: coaching the team, sharpening strategy, and making decisions backed by data. So instead of guessing, the manager can lead and predict. 

That’s why Versapay Collections is built around the way collections managers actually work. 

It offers a unified view of every collector, every customer, and every activity, replacing the spreadsheet patchwork. AI that predicts when each invoice is likely to be paid powers customer segmentation, so managers can tailor collections strategies by risk and route the right cadence to the right customer. And built-in performance reporting puts the metrics that matter one click away, not 30 daily screenshots away. 

When escalation is needed, it lands in the manager’s queue with the full audit trail attached. When a workload gets uneven, the system surfaces it and recommends a rebalance. The outcome: a better-led team, with more time to spend on the strategies that get results.