- Report
- Accounts receivable
The Collections Benchmark: what actually gets customers to respond
Subject lines, personalization, timing, and message anatomy: what gets customers to reply, and what scales.
- Guide
- Finance
The fastest path to AI ROI in finance starts with AR
Every CFO wants AI in finance. The hard part is picking the first workflow. This guide explains why accounts receivable, and cash application in particular, is usually the highest-yield place to start, and how to prove it inside 90 days.
This guide includes:
Programs that begin with “where should we use AI?” rarely make it past pilot. The better question is “where does manual work directly delay a financial outcome?” This field guide uses it to narrow the search to a workflow you can actually measure.
- The AI ROI scorecard for finance: FP&A forecasting, procurement, AP automation, month-end close, tax and compliance, and AR with cash application, compared on manual volume, measurable ROI, deployment speed, risk, and AI fit.
- A worksheet to score your own candidate workflows on the five criteria: volume, manual work today, judgment versus rules, measurable in dollars, and close to cash.
- Why AR comes before FP&A or AP: the “close to cash” principle.
- A 90-day plan: diagnose and set the baseline (days 1–15), automate one workflow end to end (days 16–45), then expand (days 46–90).
- A customer story from the field, and proof points on what good looks like.
Who this is for
- CFOs deciding where the first AI budget in finance should go.
- Finance leaders asked to show AI ROI within the year.
- Teams whose AI pilots stalled because they started too broad.
See it run in your system
Bring a batch of your real AR — invoices, payments, whatever’s messiest — and we’ll show you exactly how the agents would read, match, and post it back against your own records.