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Is Your AR Aging Report Gaslighting You?

Author:
Mahmuda Cader
September 10, 2025
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The 8 a.m. Horror Show

Controllers everywhere know the scene: you open the AR aging report, coffee in hand, only to realize the numbers don’t line up with reality. The “current” bucket is mysteriously bloated, invoices you know are past due are hiding in the wrong column, and your collectors are about to waste a morning chasing ghosts.

If that report were a weather forecast, it would tell you “sunny skies” while you’re standing in a thunderstorm.

Here’s the kicker: 94% of spreadsheets contain errors. And since most mid-sized finance teams still patch aging reports together with exports, macros, and duct tape, it’s no surprise the numbers keep gaslighting you.

Why This Keeps Happening

An aging report is supposed to be the compass for collections: which invoices are current, which are 30/60/90 days past due, and who needs the next nudge. But when the report is built on shaky data, it fails at its one job.

The usual suspects:

  • Manual updates – Collectors adjust notes in Outlook or Excel that never sync back to ERP. Cue mismatched statuses.

  • ERP timing gaps – Payments posted late (or unapplied cash still floating) means invoices look overdue even when the money’s in.

  • Spreadsheet sprawl – Different versions floating around finance, each with its own “creative” math.

  • Portal mismatches – Customers pay in their AP portal, but your system doesn’t catch it until days later.

The result? A supposedly precise report that’s neither precise nor a report.

Your current scenario:

Funny meme about AR Aging sheet

The Domino Effect

When aging data goes sideways, so does everything else:

  • Productivity drops: Collectors waste time calling customers who have already paid.

  • Prioritization tanks: the team chases small invoices while big dollars sit untouched.

  • Cash forecasting falters: Controllers can’t trust DSO projections, making liquidity planning guesswork.

  • Customer trust erodes: Nothing kills goodwill faster than chasing a client for money they’ve already sent.

In finance terms, inaccurate aging adds risk, burns time, and locks up cash. In plain English: it makes month-end feel like Groundhog Day, but with fewer laughs.

Quick Math (The Scary Kind)

Here’s why accuracy matters: once an invoice crosses 90 days, the chance of collecting it drops by 26%. After six months, you can kiss 70% of it goodbye.

So if your aging report delays the “red flag” by even a month, you’re essentially donating money to the bad-debt fairy.

Graph showing collections probability across AR aging buckets

As you can see above, gravity works faster on old invoices. [data source: US Census Bureau via Sage]

OK, What Now?

Fixing aging report chaos doesn’t require a finance miracle. There are three lanes depending on how scrappy—or sophisticated—you want to get.

1. Manual Fixes (this week)

  • Reconcile aging report with bank statements twice a week, not just at month-end.

  • Standardize collector notes (same format, same location—stop the Outlook scavenger hunt).

  • Run a “ghost check”: flag any invoice showing unpaid but with a matching remittance received.

Effort required: Moderate, mostly human sweat.
Expected impact: Stops the most embarrassing errors (like chasing paid invoices).

2. Inside Your ERP

  • Automate dunning triggers: set Day 3 after due date for a soft reminder, Day 15 for escalation.

  • Use ERP alerts when unapplied cash sits >48 hours—force faster posting.

  • Align ERP aging buckets with customer terms (Net 45 customers shouldn’t look overdue on Day 31).

Effort required: Medium, requires IT/ERP admin time.
Expected impact: Cleaner buckets, fewer “false alarms,” and more trust in the numbers.

3. With a Dedicated AR Tool

For teams with growing invoice volumes, it might be time to explore Accounts Receivable Automation.

How it can help here:

  • Auto-sync bank/portal data to eliminate timing gaps.

  • Prioritize accounts by risk + dollar impact, not just by days past due.

  • Generate real-time AR dashboards so Controllers stop asking “Is this report fresh?”

Effort required: Low after setup - system runs itself.
Expected impact: Collectors spend time calling the right customers, DSO drops, and cash forecasting finally means something.

The Payoff

Think of aging accuracy as the foundation of AR: if it’s cracked, everything built on top wobbles. When you tighten the data loop, three things happen fast:

  1. Collectors reclaim time—less time in Excel, more time on the phone.

  2. Controllers regain confidence—cash forecasts stop being fiction.

  3. Customers breathe easier—no more awkward “but we paid you last week” calls.

And here’s the kicker: companies that automate AR processes cut manual work so sharply that collectors spend 62% of their time on actual customer contact, vs. only 20% in manual shops. That’s not a marginal gain; that’s a whole extra day per week per collector.

Here’s the TL:DR version

Funny meme about different solutions to manual AR aging sheets

So, What Should You Do This Week?

No templates, no 90-day projects. Just three simple moves to start:

  1. Run a cross-check between last week’s “paid” invoices and what’s still showing in the current aging report. Spot the mismatches.

  2. Ask IT/ERP admin: Can we trigger an alert when unapplied cash sits longer than 2 days?

  3. Have one collector pilot logging notes directly in ERP (not Excel). Measure the drop in report discrepancies after two weeks.

If you are interested in seeing how real-time AR visibility improves your collections, check it out here.

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Mahmuda Cader
Growfin
Growth Manager
Deep into the world of Receivables, on my mission to connect with the people behind the spreadsheets through memes, stories, and fun reads!