How to evaluate AR automation in 2026

Three vendor demos in one week produce three sets of notes that are almost impossible to tell apart the following Monday. Each one had an aging dashboard, a dunning sequence with escalation branches, a promise to pay tracker, and a chart trending in the right direction. The platform that looked strongest was usually the one shown by the strongest presenter, which is a fact about the presenter.

The demo is a weak instrument for this category, because the things that separate accounts receivable platforms happen after signature. How many months pass before the tool touches your real invoices. What it costs to change a cadence. How fast someone answers at 4pm on the last day of the quarter. Whether next year's capability arrives with next year's invoice. All four are measurable. They are simply measured on a different day than the demo.

What follows is a weighted scorecard: six criteria, a fixed weight for each, a description of what a good answer looks like, the questions that produce a checkable one, and a scoring rule from 1 to 5. The public figures come from the G2 Summer 2026 Enterprise Accounts Receivable reports. Set the weights before your first call, fill the scores in as you go, and the arithmetic makes the decision instead of the presenter.

What are you actually shopping for?

Two categories get demoed under one name. Most of what you will see is a collections tool, taking a single step of the order-to-cash cycle, nearly always the sending, and automating that step well. The other category carries the whole cycle: an end-to-end order-to-cash analyst that opens at the credit decision, closes at the AR forecast, and keeps sales, customer success and finance reading one book. The move is from chasing what already aged to ranking what is about to slip, from a queue somebody works down to a book that arrives sorted, from one step to the cycle. Score both. Some teams are right to want the step.

Key takeaways

1. Time to go live carries the heaviest weight on this scorecard because it gates every other benefit. The G2 Summer 2026 category average is 5.35 months, the shortest measured average is 1.31 months, and one vendor publishes eight months to implement and sixteen months to return on investment in its own G2 Value at a Glance.
2. Ease of administration separates AR platforms more sharply than features do. Published scores in this category run from 7.7 to 9.5, and the bottom of that range describes a finance team filing a ticket to change a dunning cadence it will want to change again next quarter.
3. Ask every vendor in writing whether product improvements reach existing customers at their current price or arrive as a separately priced module. The two models produce very different three year costs, and the question almost never comes up in a demo.
4. Score depth against your volume three years out rather than today's. Lighter platforms in this category earn genuinely high satisfaction scores and hit ceilings on customization, multi entity handling and mailbox search. Enterprise incumbents absorb that complexity and charge for it in setup time and administrative overhead.
5. A proof of concept on your own data is the only evidence that survives contact with your receivables. In one such test, a customer processing over a million invoices a year saw data within a day of connecting the ERP and matched 78 percent of 1,150 ACH, wire and lockbox payments automatically, before any manual configuration.

Why does a scorecard beat a feature comparison?

Because feature lists converge and outcomes stay far apart. Every serious platform in this category delivers invoices, runs dunning sequences, tracks promises to pay, and applies cash to some degree. When finance teams explain why they replaced a platform, the reasons they give are operational: a rollout that overran its schedule by quarters, a cadence change that needed a scoping call, a ticket that sat unanswered over close week. Feature gaps come up far down that list.

G2 measures those things directly, and the spread is wide enough to decide a purchase. Ease of setup ranges from 7.9 to 9.6 across vendors with published data. Ease of administration ranges from 7.7 to 9.5. Overall satisfaction runs from 15.26 to 77.49. Those numbers describe your life after signature, and none of them show up in a product tour.

A scorecard does two useful things to that spread. It forces you to decide what matters before a presenter tells you what matters, and it converts six soft impressions into one number you can defend to a CFO who did not attend the demos.

How do you set the weights before the first demo?

Set them in one sitting, with the people who will operate the platform, before any vendor has framed the conversation. Weights assigned after a demo tend to describe the demo.

The weighting below reflects what buyers in this category report changing their minds about after go live. Adjust it to your own situation, keep the total at 100, and write it down where the evaluation team can see it.

Score each criterion from 1 to 5. Multiply by the weight, add the six products, divide by 100. You end up with a single figure between 1 and 5 for each vendor, and a visible record of which criterion produced the gap.

How many days until the platform works on our own data?

Weight: 25 of 100. This is the most predictive question in the evaluation, and the answers sit further apart than most buyers expect.

The G2 Summer 2026 Enterprise Implementation Index puts the category average at 5.35 months to go live. Tesorio measures 1.31 months and ranks first in that index at 8.59. HighRadius publishes eight months to implement and sixteen months to ROI in its own G2 Value at a Glance summary.

Count those forward from a signature on January 15. At 1.31 months, the team is in production in late February and holds a full quarter of collections data by the end of Q1. At the category average, production lands in late June and the first clean quarter closes in September. At eight months, production lands in mid September and, on that vendor's own published payback figure, the return arrives in May of the following year, a few weeks before the first renewal conversation.

What good looks like. Your own aged receivables visible on screen within days of connecting the ERP, a certified ERP connection rather than a scheduled file transfer somebody has to own, and a published median go live for companies your size that the vendor will put in writing.

What to ask.

1. How many days from ERP connection until we see our own aged receivables inside your product?
2. What was your median go live last year for companies at our invoice volume, and what percentage of customers went live inside your published timeline?
3. Will you run a proof of concept against our data before we sign, and what does it cost?
4. Is the ERP connection certified by the ERP vendor or supported by you, and what is the difference when it breaks?

How to score it. Give a 5 when your own data appears within a week and go live is under two months, with a proof of concept on offer. Give a 3 when go live runs three to five months with a named implementation owner and a written plan. Give a 1 when the timeline is quoted in quarters, or when the answer to question one is a project plan rather than a number. A vendor who cannot answer question one with a number has answered it.

Who changes a dunning cadence, your team or a support ticket?

Weight: 20 of 100. This criterion sets your operating cost for the life of the contract, and it is the one most often discovered rather than evaluated.

Published ease of administration scores span 7.7 to 9.5. Tesorio sits at 9.5, with 99 percent on ease of admin against a category average of 85. HighRadius sits at 8.3, Growfin and Zuora both at 7.7. Growfin's published G2 reviews cite minimal customization and infrequent updates alongside a strong 4.5 star rating, which is a fair description of a lighter tool doing what it was built to do.

Work out what the low end costs you. A collections team that adjusts segmentation or cadence four times a year is normal. If each change requires a scoped request, a two week turnaround and a services fee, that is eight weeks a year during which the cadence in production is the one you already decided was wrong, plus four line items you did not model in the business case.

The related number is user adoption, where the category average is 64 percent and Tesorio measures 95. A platform that only an administrator can change tends to become a platform only an administrator opens. Tesorio customers report a 3x increase in collector productivity, and that figure depends entirely on collectors working inside the tool rather than beside it in a spreadsheet.

What good looks like. A collections manager adds a segment, changes an escalation ladder, and adjusts cadence timing in an afternoon, without a services engagement and without a release cycle.

What to ask.

1. Show me, live in the product and logged in as an administrator rather than a superuser, a collections manager creating a new customer segment with its own cadence.
2. Which changes require professional services, and what is the rate card?
3. What share of configuration changes across your customer base are self serve?
4. How long does a typical change request take from submission to production?

How to score it. Give a 5 when every routine change is self serve and you watched an admin persona perform one live. Give a 3 when most changes are self serve and a defined minority go through the vendor. Give a 1 when segment or cadence changes require a scoping call.

What happens when something breaks at 4pm on the last day of the quarter?

Weight: 15 of 100. Support scores cluster higher than other categories, which makes the real differences easy to miss on a comparison sheet.

Published quality of support runs from 7.7 to 9.6, a spread of 1.9 points inside a band that looks uniformly good. Tesorio scores 9.6, with 96 percent against a category average of 88, and ranks first in the Relationship Index at 8.69. Growfin scores 9.0, which is a genuine strength worth crediting. HighRadius scores 8.4, and its published G2 weaknesses describe the texture behind that number: slow ticket resolution, frequent reassignment of support staff, communication delays, and lengthy implementation with inadequate support.

The variable that never appears on a scorecard is where the support team sits. In evaluations, buyers raise this unprompted. The pattern they describe is straightforward: when the support team works while the finance team sleeps, an urgent question waits a full cycle before anyone reads it, and the answer lands a cycle after that. That rhythm does not work when a large account is about to age past terms and the quarter closes on Thursday.

What good looks like. Named response targets by severity written into the contract, a support team with real overlap with your working hours, and a published median time to resolution rather than median time to first response.

What to ask.

1. Where is your support team located, and what coverage do we get during our close week?
2. Are your response targets contractual or aspirational, and how are severity levels defined?
3. What is your median time to resolution, separate from time to first response?
4. How often does a ticket change owner before it closes?

How to score it. Give a 5 for contractual targets by severity, support inside your hours, and a published resolution median. Give a 3 for published targets covering first response with partial hours overlap. Give a 1 when the commitment is a business day response with no severity definition, or when question three gets an answer about first response.

Do product improvements arrive at our current price?

Weight: 15 of 100. This one is rarely raised in a demo and frequently regretted in year two.

Vendors in this category handle roadmap delivery two ways. Some ship improvements to every customer at their current price. Others treat significant additions as new modules with a new fee and a new implementation.

Neither model is wrong, and the module model funds real engineering. They produce very different three year costs. Take a hypothetical $60,000 annual contract, with round numbers chosen only to show the shape of the arithmetic. Over three years, the sticker is $180,000. Add one $25,000 module in year two and another in year three, each with a $20,000 implementation fee, and the same three years cost $295,000. The comparison you ran in the spreadsheet was against the first number.

What good looks like. A written commitment that improvements reach existing customers at their current price, backed by a list of what actually shipped to existing customers over the last 24 months at no additional cost.

What to ask.

1. List every capability you shipped in the last 24 months, and mark which ones existing customers received without a new fee.
2. What is on the roadmap for the next twelve months, and which parts will be separately priced?
3. Is there contract language that guarantees included improvements, and will you show it to us now?
4. If we buy the base product today, what is the realistic total in year three?

How to score it. Give a 5 for a written commitment plus a 24 month history that supports it. Give a 3 for a mixed model disclosed clearly and priced up front. Give a 1 when the answer depends on the module and nothing is in writing. This is the row where an unwilling answer is itself the answer.

Will this platform still fit at three times our volume?

Weight: 15 of 100. There is a real tension between ease of use and depth, and vendors sit at honest, different points along it.

Lighter platforms in this category score well on satisfaction and remain genuinely pleasant to operate. Growfin holds a 4.5 star rating, 8.9 on ease of use and 9.0 on quality of support, and finance teams who fit inside its envelope are frequently happy there. The ceiling shows up in the published review themes: minimal customization, infrequent updates, mailbox functionality with weak filtering and search, and email archiving issues. Growfin also does not appear in the G2 Summer 2026 Enterprise indices at all. That absence describes where its customer base sits on the size curve, and it belongs in your three year fit row.

Enterprise incumbents sit at the other end and earn their position. They handle multi entity structures, complex hierarchies and high volume, and they charge for it in setup time and administrative overhead. That is what a 7.9 ease of setup and 8.3 ease of administration describe at HighRadius, next to an eight month published implementation. If your complexity genuinely requires that depth, the setup time is buying something real.

The question for your evaluation is where your business will be in three years. Model invoice volume, entity count, currency mix and collector headcount at that horizon, then ask each vendor to configure it in front of you.

What good looks like. A live configuration built against your three year numbers during the evaluation, plus a named reference operating at that scale on your ERP.

What to ask.

1. Configure our projected entity and currency structure live, using our numbers rather than the demo tenant.
2. What is your largest customer by monthly invoice volume on our ERP?
3. What breaks first as volume grows, and at what threshold?
4. Which capabilities on this list exist today, and which are on the roadmap?

How to score it. Give a 5 when you watched the configuration built at your three year numbers. Give a 3 for a credible description plus a reference at your scale. Give a 1 when the answer is that it is on the roadmap.

What proof exists outside the demo environment?

Weight: 10 of 100. Weighted lowest because a strong score here usually confirms what the other five criteria already told you, and weighted at all because it is the only place a vendor's claims meet your receivables.

The strongest evidence available in this category is a proof of concept against your own data before signature. One customer processing over a million invoices a year ran exactly that. Data was visible within a day of connecting the ERP. The out of the box automatic match rate on ACH, wire and lockbox payments came in at 78 percent across 1,150 payments, before any manual configuration. That figure came from their own receivables rather than a reference deck, and it became the basis for the decision.

Retention and usage come next, and you can ask for both in writing. Tesorio's platform retention rate is 98 percent, user adoption measures 95 percent against a category average of 64, and customers average a 33 day reduction in DSO. Run that last figure against your own billings. A business invoicing, say, $120 million a year collects roughly $329,000 a day, so 33 days of DSO is about $10.8 million of working capital sitting in receivables instead of the bank. Across its customer base, Tesorio has returned more than $200 million of working capital to customers' businesses.

Review volume and recency are a weaker but usable signal. Growfin has 58 total G2 reviews with none in the last 90 days. That is worth asking about rather than concluding from, and the question it prompts is a reasonable one to put to any vendor: how many customers went live in the last two quarters?

What to ask.

1. Will you run a proof of concept on our data, and what is your out of the box match rate before configuration?
2. What is your logo retention rate, and how many customers left in the last twelve months?
3. What percentage of licensed seats logged in last month?
4. How many customers of our size went live in the last two quarters, and may we speak with two of them?

How to score it. Give a 5 for a proof of concept on your data with a measured match rate, plus published retention. Give a 3 for references at your scale and recent third party reviews. Give a 1 when the only evidence is a demo tenant and a curated reference list.

What does a filled scorecard look like?

Here is the method applied. The columns are archetypes rather than named vendors, because the scores that matter are the ones your own evaluation produces, and because publishing judgment scores under a vendor's name would be exactly the kind of unsourced number this scorecard exists to avoid. Where a published G2 figure anchors a row, it is cited above.

Two things in that table are worth reading closely.

The enterprise incumbent scores a 5 on three year fit, the highest score in that row, and that is not a courtesy. Depth at genuine complexity is what that archetype sells, and a buyer carrying many legal entities across several currencies should weight the row higher than 15 and may well land on that column. The lightweight specialist scores a 4 on support and a 4 on time to go live, both earned, and a team inside its volume envelope will be well served.

The roadmap row carries no published index data for any vendor in this category, so every score in it is a placeholder until you have written answers. That row is the one most likely to move after you ask question one and read what comes back.

When does the scorecard tell you to stay where you are?

Often enough that it is worth naming the conditions.

If the weighted gap between your incumbent and the challenger you scored highest is under about 0.5, the difference sits inside the noise of your own scoring, and the switching cost will consume it. If you are partway through a working implementation, finishing usually beats restarting, because the months already spent do not transfer. If your invoice volume, entity count and currency mix all sit comfortably inside your current tool's envelope, and it scores 4 or 5 on the two criteria you weighted heaviest, a switch buys you capability you will not use for years.

And if your complexity genuinely requires deep multi entity configuration that only an enterprise incumbent supports today, the eight month implementation is the price of the thing you actually need. Score it honestly, weight it honestly, and let the arithmetic say so.

The scorecard earns its keep by making those cases visible before the negotiation rather than after it.

Where do the published numbers put Tesorio?

In the G2 Summer 2026 Enterprise Accounts Receivable reports, Tesorio ranks first across all three indices: Usability at 9.03, Implementation at 8.59, and Relationship at 8.69. The underlying percentages are ease of administration 99 against a category average of 85, ease of use 98 against 90, ease of setup 97 against 85, user adoption 95 against 64, ease of doing business with 99 against 92, and quality of support 96 against 88. Time to go live measures 1.31 months against a category average of 5.35. On overall satisfaction, the published figures are Tesorio 77.49, HighRadius 49.52, Growfin 44.78 and Zuora 15.26.

Those numbers populate five of the six rows above. The sixth, roadmap pricing, has no published index anywhere in this category, which is precisely why it belongs in writing before you sign.

If you are running an evaluation now, the most direct test available to you is to connect a sandbox and measure how many days pass before you see your own data. That single measurement predicts more about the next three years than any demo.

One step, or the whole cycle?

Run the six criteria and good collections tools score well. They automate one step, they do it, and a team whose only gap is the sending should buy one. What a collections tool leaves open is who owns the cycle: who decides which account is about to slip, and who carries that into the forecast. Buyers now call any scripted sequence an agent. The word earns its place only where the software ranks the book by likelihood to slip, shapes outreach around how each customer has paid before, and revises both as behavior changes. That is the end-to-end order-to-cash analyst, and it is a different purchase from the step.

See how implementation actually works