Your industry median DSO
Pulled live from the same dataset the calculator uses.
How to choose accounts receivable automation platform you can trust
Plenty of tools will send template reminders, but few can be trusted with your customer relationships. This guide covers what to look for and the questions to ask before you sign.
How to evaluate a platform
The transformer architecture arrived in 2017 and ChatGPT in 2022. Every platform on the left was in market by then. Its intelligence layer sits on a data model designed for a different job. It can send a template on day 30, 45, and 60. It cannot reason about why the invoice is unpaid. Monk was built after modern language models existed, around the relationship instead of the ledger.
The distance between revenue and cash
Revenue is what you have earned: the signed contract, the sent invoice, the number on the board. Cash is the money in the bank you can spend. The distance between the two is accounts receivable and for most companies it is wider and more expensive than anyone has stopped to count.
Capital
Money is expensive again
Slow collections used to be fine because you could raise or borrow to cover the gap. Credit tightened through 2025 and that is no longer true.
Software
AR never got great tools
Sales got Salesforce, payroll got Rippling, AP got Ramp and Bill. AR stayed in a spreadsheet with reminders sent one by one.
Relationships
Getting paid is a relationship
Customers pay late over a missing W9, a portal login, a PO mismatch, or an approver on vacation. A sterner reminder does not fix any of these.
Why most tools cannot close collections
Almost everything in AR was built around the ledger or the bill: to record what happened and send what is owed. That is software for compliance. Getting a payment closed depends on why it stalled and the ledger does not track the why.
The distance between revenue and cash
Revenue is what you have earned: the signed contract, the sent invoice, the number on the board. Cash is the money in the bank you can spend. The distance between the two is accounts receivable and for most companies it is wider and more expensive than anyone has stopped to count.
How AR software has evolved
Every tool was built for one of these three eras. Most vendors are still selling the second.
Manual and the ERP
QuickBooks, NetSuite, spreadsheets. AR is data entry and a reminder sent by hand.
First-gen automation
Legacy suites built on the ledger before modern AI, so the intelligence is bolted on and rollouts drag. Newer billing-led tools center on the contract, so collections comes second.
Relationship-first
Agents understand each account, work both sides of every invoice, and adapt to the relationship. A dead contact gets a lookup. A portal mismatch gets resubmitted. A real question goes to a person.
How to evaluate a platform
Four capabilities separate a tool that reminds from one that closes a collection and all four rest on a fifth: trust and control.
01
Delivery and exceptions
Edge cases (portals, missing W9s, and PO mismatches) are responsible for 39% of the slowdown in cash flow. The tool should handle them, not hand them back.
02
Collections intelligence
It should understand why an invoice is late and follow how you run collections, rather than fire a fixed cadence.
03
Coverage, both sides
Receiving payment means reading and acting on inbound replies, across every channel, including the phone.
04
Cash application
Match blank memos, partial payments, and multi-invoice remittances. Monk auto-matches 80% of payments to the correct invoice, reaching 95% with suggested rules.
The software touches your customer relationships and your books. You should see every move it makes and be able to steer it. Monk does both: a full record of every action it takes and a review step before anything reaches a customer.
Put every vendor through the same evaluation
Two questions cut through most pitches. Here is how each generation answers them.
| Criteria | Manual | First-gen |  | Ask your vendor |
|---|---|---|---|---|
A person emails and waits for a reply | Templates on day 30, 45, and 60, with no read on why | Resolves the dispute or exception, escalates only what needs a person | Do you handle portal submission and W9 or PO exceptions, or do they land back in our inbox? Does the system act on inbound replies and link a reply in a separate thread to the right invoice? | |
How fast do you see cash?A tool that takes a quarter to show impact is one you are financing. | DSO moves only as fast as the team can chase | Marginal lift, capped by reminder fatigue and long rollouts | >40% lower DSO, live in under a week | What is the median time to first DSO improvement? Can you auto-match partial and multi-invoice payments and how fast does the ledger update? |
Does it read what comes back?Getting paid is a two-way conversation. Half of it arrives in your inbox. | Replies land in one person's inbox, so a PO in one thread and a dispute in another are two separate problems and nobody connects either to the invoice. | Outbound only. The system sends. Your team handles every reply. The system never learns that the invoice was queried. | Reads and acts on every inbound reply. Links a PO, a credit memo, a payment confirmation, or a dispute from any thread to the right invoice. Pauses outreach when a customer responds. | Do you read and act on inbound replies and can you link a reply in a separate thread back to the right invoice? How many channels do you work? |
Who owns the context when someone leaves?The person who knows your payer base is a single point of failure until the system knows it too. | Context leaves with the person. Which customers pay late, who to call, and what was promised in March lived in one head and a spreadsheet. | The cadence you configured survives. A new hire inherits that cadence and none of the judgment behind it. | The business keeps payer behaviour, exceptions, playbook changes, and every conversation. Your AR team keeps that knowledge when someone leaves and improves month over month. | If our AR lead resigns tomorrow, what does the system still know? Does it improve over time, or only stay configured? |
Reminding is easy and every tool does it. Collecting well is rare
Collecting well takes someone who knows your business and follows your rules. Monk agents handle collections. You design the playbooks they follow.
Set the tone by segment
A fixed template would treat a 30-day staffing invoice and a 90-day manufacturing deduction the same way. Your playbooks do not.
Control the triggers and timing
You decide when outreach starts, how it escalates as an invoice ages, and when it stops.
Name the escalation point
You set the value, age, or condition for escalation. You choose who takes over.
Choose the channel
Outbound playbooks send from your inbox or place a call. Inbound playbooks act on every reply.
Monk agents carry the judgment your best collector would use and are calibrated to the relationship, which is what separates a tool that automates outreach from one that runs collections.
How Monk does it
Monk was built around the relationship from the data model up, after modern language models existed. It connects to QuickBooks, NetSuite, and Stripe without replacing them or touching contracts. Most customers onboard in less than one week and see results in the first month.
Monk is an engineering-led team building on a live AR foundation, so your environment keeps improving instead of staying frozen in the past.
If your security team needs your data inside your walls, we can do that
Deployment is a pass/fail question most evaluations ask before booking a call, so here are all three options.
Cloud
Runs on AWS or GCP provisioned by Monk. You connect your ERP and we handle everything else, which is why most customers are live in under a week with no IT involvement.
On-Prem
Deploys inside your own data center, so your data never leaves your building. For the strictest compliance requirements, with your IT team involved in setup.
Bring Your Own Cloud
Monk deploys into your AWS, Azure, or GCP account, so data stays in infrastructure you already own and the audit logs are yours.
Monk has transformed how we manage AR collections - automating the most time-consuming parts of the process while remaining incredibly easy to use and track. Beyond the platform itself, Monk is a true partner.
The numbers
90%
Of collections resolved without human intervention
24%
More responses than standard dunning
>40%
Average drop in DSO
~26 hrs
Given back to the team each month
600+
AP portals covered
What good looks like depends on your industry
Staffing runs net-45 at high volume, manufacturing invoices get deductions, food and beverage reprices daily, and medical device waits on certificates of insurance. Our benchmark report covers nine industries with the standard DSO for each, a modelled best-in-class figure, and the exceptions that account for the gap between them.
Select your industry
Dropdown, nine industries from the benchmark dataset.
Your industry median DSO
Pulled live from the same dataset the calculator uses.
Best-in-class DSO
Modelled from the same dataset.
Your estimated percentile for Food and Beverage: 79
% of companies
3020100
0153045607590+
DSO
The modeled best-in-class DSO for Food and Beverage is 26 days. You are already there. Monk helps you hold that performance as you scale.
24
days your DSO
26
days best in class
0
days the gap
Most finance leaders can recite revenue, but far fewer can say how long it takes that revenue to become cash
Explore Monk with AI
Frequently asked questions
What should I look for when evaluating an accounts receivable platform?
Four capabilities separate a tool that reminds from one that closes a collection: delivery and exception handling (portals, W9s, POs, dead contacts), collections intelligence (understanding why an invoice is late, not just that it is), coverage across both outbound and inbound communication on every channel, and cash application (auto-matching partial and multi-invoice payments). All four should sit on a foundation of trust and control: full auditability and a deterministic check before anything reaches a customer.
What's the difference between accounts receivable automation and a billing or contract-management tool?
Billing and contract tools produce the invoice; AR automation closes it. One records what a customer owes, the other works out why it has not been paid (a portal rejection, an unanswered reply, an open dispute) and resolves that.
How long does it take to implement an AR automation platform?
It ranges from months for platforms where your team does the integrating, to days for ones that do the work for you. Monk goes live in under a week because our team builds the connections during onboarding rather than handing you a project.
Should I build AR automation in-house or buy a platform?
Building gets you scheduled reminders quickly; the hard part is everything after: reading replies, submitting into buyer portals, routing disputes, and matching cash across thousands of accounts. That is an operating system, not a project, which is why most teams that start building end up buying.
What is a good DSO benchmark for my industry?
It depends on the industry. The DSO Benchmark Report breaks it down across nine. Benchmark your number against the distribution and best-in-class for your vertical rather than a single cross-industry average.
Choosing an AR platform is a cash flow decision
Bring your aging report to a demo. See Julia collect from your customers using Playbooks and multi-threading.