AR
Accounts Receivable (AR) is the money a business is owed by its customers for goods or services delivered but not yet paid for. It sits as a current asset on the balance sheet and represents future cash inflow.
Accounts Receivable is the bridge between revenue recognition and actual cash in the bank. A company can be profitable on paper while running out of cash if AR balances climb faster than collections, or if too many invoices age into bad debt. For CFOs, AR is both a working capital lever (every day shorter releases cash) and a risk lens (concentration in a few late-paying customers can sink a quarter).
AR is a current asset, typically shown net of an Allowance for Doubtful Accounts (the management estimate of receivables unlikely to be collected). The reported AR figure is the amount the company expects to actually convert to cash, not the gross open-invoice total. Investors look at the AR trend relative to revenue growth: if AR grows faster than sales, collections are slipping.
Every receivable moves through six stages from invoice to cash.
Finance teams track AR performance through a small set of standard metrics.
Most enterprise AR teams face the same structural problems. Remittance data arrives in unstructured formats (PDFs, emails, portal exports) that the ERP cannot natively process. Deductions and short-pays consume analyst time investigating whether the customer's reduction is valid. Dispute resolution drags as invoices sit pending while teams chase missing documents. And the workflow itself is fragmented across cash application, collections, and disputes teams that rarely share a single source of truth.
AI-native AR platforms collapse the six lifecycle stages into a continuous workflow with shared institutional memory. Vision language models read remittance advices in any format. Graph-based retrieval cross-references payments against invoices, contracts, and past resolutions in seconds. Autonomous collections agents action 100% of overdue invoices within 24 hours of going past due. The result for mid-market AR teams is typically an 8 to 15 day DSO reduction within 90 days, a 95%+ cash application match rate, and analyst time reallocated from data entry to dispute strategy.
Revenue is recognised when the sale is earned (typically when goods ship or services are delivered). Accounts receivable is what remains owed after the sale until the customer pays. Revenue hits the income statement, AR sits on the balance sheet. A company can recognise revenue and still have AR outstanding for months.
Accounts receivable is a current asset on the balance sheet. It represents future cash inflows the company expects to collect within the normal operating cycle, typically 30 to 90 days. It is reported net of the Allowance for Doubtful Accounts.
AR turnover ratio = net credit sales divided by average accounts receivable. If a company has $10M in net credit sales and $2M average AR, the turnover is 5 (AR turns over five times per year). Higher is generally better, indicating faster collection.
Accounts receivable is money owed TO the company by its customers. Accounts payable is money the company OWES its suppliers. AR is an asset (future cash in), AP is a liability (future cash out). Both are managed by finance teams but typically by different functions.
The structural levers are faster invoicing (electronic delivery removes mail delays), faster cash application (AI matching applies payments same-day), and broader collections coverage (autonomous agents work 100% of overdue invoices instead of the 30 to 40% manual teams cover). Tightening credit also reduces AR but at the cost of revenue.
AR software falls into four categories: ERP-native modules (SAP, Oracle, NetSuite), integrated AR platforms (HighRadius, Billtrust, BlackLine), stand-alone collections tools, and agentic AR platforms. The best fit depends on company size, transaction volume, and how much of the workflow needs autonomous execution versus worklist generation.