You closed a strong quarter. Bookings are healthy and the pipeline looks promising. Then you open the cash report and see millions sitting in unpaid invoices, while vendor bills queue up for approval and the board asks why DSO keeps drifting upward.
That gap between revenue and cash is where accounts receivable (AR) and accounts payable (AP) live. When capital costs money and growth has to be funded from operations, how fast revenue turns into cash, and how deliberately cash goes out, decides how far the next quarter can stretch.
What is AR and AP automation?
AR and AP automation is software that runs the repetitive work of the invoice-to-cash cycle (billing, collections, cash application) and the procure-to-pay cycle (invoice capture, approvals, payment runs), and uses your own payment history to decide what should happen next on each side.
In practice that covers:
- Creating, sending and capturing invoices without rekeying data
- Routing approvals to the right person by amount, department or vendor
- Predicting when each customer is likely to pay
- Forecasting cash from both what is coming in and what is going out
- Timing outbound payments so working capital is used on purpose
Key takeaway: AR automation speeds up cash coming in. AP automation controls cash going out. Working capital improves most when both run from the same view of cash.
Why automate AR and AP together instead of one at a time?
Most finance teams buy these tools separately, often from different vendors, and then reconcile the two views by hand in a spreadsheet. That spreadsheet is where forecasts go stale.
Running both sides from one view of cash changes three decisions:
- When to pay vendors. If you know which large receivables are likely to slip, you can hold a discretionary payment run a week instead of drawing on a credit line.
- Which customers to chase first. Collections effort goes to the invoices that actually move the cash forecast, rather than whoever is oldest on the aging report.
- What to tell the board. A forecast built on predicted receipts and scheduled disbursements replaces one built on payment terms and hope.
Each side still has its own work. The value comes from both feeding the same forecast.
What does manual AR and AP actually cost?
The obvious costs are data entry, paper approvals and manual reconciliation. The larger costs are harder to see because they show up somewhere else in the business.
The operational cost
- Volume scales with headcount. When every invoice needs a human touch, the only way to handle more customers or vendors is to hire in proportion.
- Errors compound. A billing mistake on the AR side becomes a dispute, and disputes are one of the most common reasons invoices go late. On the AP side, a missed mismatch becomes a duplicate payment.
- Global complexity. More currencies, payment methods and tax rules multiply the exceptions a person has to handle.
- Distributed teams. Approvals that depend on someone being at a desk stall when that person is travelling.
The financial cost
- DSO drifts upward. Without prioritisation, collectors work the aging report top to bottom and the invoices most likely to slip get attention too late.
- Aged receivables get harder to recover. The longer an invoice sits, the less likely it is to be collected in full, so late attention turns into write-offs.
- Missed payment terms. Slow AP approvals mean lost early-payment discounts on one side and late fees on the other.
- No early warning. Without a model of how each customer pays, risk shows up on the aging report after the fact.
The strategic cost
- Forecasts become guesswork. Treasury plans against terms, and terms are the one thing customers reliably ignore.
- Capital sits idle. Cash tied up in receivables is cash that is unavailable for hiring, product or runway.
- Relationships strain. Clumsy dunning irritates good customers, and late payments irritate good suppliers.
When finance spends its time reacting to cash surprises, the business ends up delaying investments or raising money it did not need to raise.
How do you benchmark your AR and AP performance?
Start with a baseline, because the case for automation rests on the change you can measure afterwards. Track these for the last four quarters:
- DSO and its trend, alongside the share of receivables past 90 days
- DPO, and how often you pay early or late against terms
- Collector capacity: open accounts or invoices handled per collector
- Cost and cycle time per invoice on the AP side, from receipt to payment
- Forecast accuracy: how far actual cash landed from your 13-week forecast
Compare against peers in your industry and billing model. Subscription businesses with annual invoicing behave very differently from companies billing monthly on usage, so a single cross-industry average tells you little.
The spread is wide. Tesorio's AR Benchmark Report finds that leading industries collect 1.4 to 2.5 times faster than lagging ones, and that the share of overdue AR in lagging industries runs 2 to 3 times higher. Knowing which end of that range your peers sit at tells you how much room there is to move.
Which technologies drive AR and AP automation?
The shift over the last few years is from tools that execute steps to systems that make decisions. According to Gartner, 58 percent of finance functions were using AI in 2024, up 21 percentage points on the year before. The most common uses were intelligent process automation (44 percent) and anomaly and error detection (39 percent), both of which sit squarely in AR and AP.
Generative AI is spreading faster still: McKinsey reports that 71 percent of organizations regularly use gen AI in at least one business function.
Data capture and matching
- Invoice extraction reads incoming vendor invoices and remittances and validates them against purchase orders and the ERP.
- GL coding suggests accounts from how similar invoices were coded before.
- Cash application matches incoming payments to open invoices, including partial and bundled payments.
- Anomaly detection flags duplicates, changed bank details and unusual amounts before money moves.
Workflow automation
- Routing sends each invoice to the right approver by value, department or vendor.
- Mobile approvals keep payments moving when approvers are away from a desk.
- Exception handling surfaces PO and invoice mismatches for a human to resolve.
- Audit trails record every action, which shortens audit preparation.
Agents that decide
This is where the category is moving. An AR agent, in the sense that matters, is software that decides as well as executes: it ranks the whole receivables book by how likely each invoice is to slip, drafts outreach shaped by how that customer has paid before, and revises the plan as their behaviour changes. A collector reviews and approves rather than starting from a blank queue.
The same logic applies across the whole order-to-cash cycle, from credit decisions at signing through to the AR forecast, coordinated with sales and customer success. A collections tool automates one step. An order-to-cash analyst works the cycle. Both have a place, and the right one depends on whether your bottleneck is a single step or the handoffs between them.
What results do teams see from AR and AP automation?
Across Tesorio customers, the averages are a 33-day reduction in DSO and 3x collector productivity, with over $200M in working capital freed up in total. Those are averages across customers with different starting points, billing models and data quality. Your own result depends on where you start, so the honest way to size it is on your own data.
The patterns behind those numbers repeat:
- Collectors stop working the aging report top to bottom. Prioritisation moves their time onto the accounts that change the forecast, and routine reminders go out without anyone drafting them.
Veeva Systems shows what that looks like. Its AR team replaced spreadsheet tracking with prioritization that ranks customers by likelihood to pay, plus automated dunning. The result was a 50 percent reduction in 90-day aged receivables, 75 percent of the team's manual collections time freed up, and twice the effective output without adding headcount. "Since adopting Tesorio, we have reduced 90-day aged by 50%," says Michael Renner, Senior Manager of Accounts Receivable.
- Collections becomes the last mile of the customer experience. Outreach that reflects each customer's history reads as service, which protects renewals.
- Headcount stops tracking revenue. Teams hold collections staffing flat while the customer base grows.
- Forecasting moves from days to hours. When receipts are predicted per invoice, the forecast updates itself rather than being rebuilt in a spreadsheet each month.
Couchbase is a clear example. Its forecasts took 10 days of manual spreadsheet work across subscription, on-premise and cloud revenue. With AI forecasting and automated collections, the finance team now builds forecasts in hours, cut DSO by 10 days and doubled collections volume without adding team members. CFO Greg Henry puts it plainly: "Not having Tesorio would be like not having my iPhone."
How do you implement AR and AP automation?
Treat it as a sequence of small, measurable changes rather than one big switch.
Step 1: Map your current process
- Chart each stage from invoice creation or receipt to cash posted or payment sent
- Mark where delays, errors and handoffs cluster
- Record the baseline metrics from the benchmarking section above
Step 2: Set objectives you can measure
- Operational efficiency: less time and cost per invoice
- Working capital: lower DSO and deliberate DPO
- Visibility: a cash forecast you trust week to week
- Scale: growth without proportional hiring
- Control: fewer errors, duplicates and fraud attempts
Set targets as changes from your own baseline, and agree them with the CFO before you start so the result is judged against something fixed.
Step 3: Choose the right kind of tool
- ERP integration: it should sit on top of the ERP you already run, with native integrations for NetSuite, Sage Intacct, Oracle, SAP or QuickBooks
- Decision scope: decide whether you need a tool for one step or an analyst for the full cycle
- Configurable workflows: the system should fit your approval policy
- Adoption: collectors and approvers have to want to use it
- Security and controls: segregation of duties, audit trails and permissions
- Proof on your data: ask to see results on your own ledger before you sign, and watch how the system handles your messiest exceptions
Step 4: Roll out in phases
- Pilot one workflow, such as collections for a single segment or AP for one entity
- Train the people who will use it daily, and name a champion on each team
- Document the new process so it survives turnover
- Expand once the pilot metrics move
Step 5: Measure and expand
- Review KPIs against baseline every month
- Collect feedback from collectors and approvers
- Tune prioritisation and routing rules
- Add the next workflow, and report wins upward to fund it
What comes next for AR and AP?
Two developments are shaping the next stage.
Conversational finance. Generative AI lets a controller ask "which customers are likely to pay late this month?" in plain language and get an answer with the reasoning behind it. Reporting that used to take an analyst a day becomes a question.
Connected networks. Buyers and suppliers are sharing more payment data directly, through supplier portals, e-invoicing mandates and financing built on verified receivables. Shared visibility into payment timing reduces friction on both sides of every transaction.
Neither replaces the fundamentals. A team with clean data, clear ownership and a forecast it trusts will get more from each new capability than one still reconciling AR and AP in separate spreadsheets.
Frequently asked questions
What is the difference between accounts receivable and accounts payable automation?
AR automation speeds up collecting from customers, from invoice creation through follow-up and cash application. AP automation manages paying vendors, from invoice capture through approval, matching and payment. Both reduce manual work and errors; together they give one view of cash.
What ROI can companies expect from AR and AP automation?
Across Tesorio customers, the average DSO reduction is 33 days and collector productivity triples on average. Individual results vary with your starting DSO, billing model and data quality, so size the return on your own data before committing.
How long does implementation take?
It depends on your ERP, the number of entities and how much workflow you migrate. A phased rollout that starts with one high-impact workflow gets value into the business fastest. On G2, Tesorio users report an average time to go live of 1.31 months, against a 5.35 month category average (G2 Summer 2026).
How does automation reduce fraud and improve compliance?
It applies policy consistently, keeps a complete audit trail, enforces segregation of duties, and runs automated matching and duplicate detection. Changed bank details and unusual amounts get flagged before a payment is released.
Do we need to replace our ERP?
No. Modern AR and AP platforms sit on top of your existing ERP through API connections, so you keep your system of record and add automation and prediction around it.
If you want to see what this looks like on your own receivables, see how Tesorio's AR analyst works.
