See what order-to-cash with Stuut could be worth.

Enter your portfolio company's receivables profile. The model shows the cash it would free and the Year-1 economic impact.

Probable annual value Stuut creates for you

01 · Your numbers

Annual revenue*required $ Industry*required Select industry Manufacturing Healthcare / Life Sciences Tech / SaaS Financial Services Wholesale / Distribution CPG / Food / Retail Transportation / Logistics Professional Services Waste / Utilities Hospitality PE firm Other AR team size*required AR team location*required Select location US Nearshore Offshore Target go-live dateoptional

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02 · Sharpen the estimateoptional — narrows the range

DSO (days)optional Open ARoptional $ TTM bad debtoptional $ Bad debt typeoptional auto Write-offs Reserves FTE loaded costoptional $ Monthly invoice volumeoptional

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Conservative by EOY

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Base case by EOY

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Aggressive by EOY

Where the base-case value comes from —

Working capital freed Bad debt prevented Team capacity reclaimed

Bucket · 01Biggest lever

Working capital freed

Cash unlocked from faster collections, valued at your blended cost of capital.

Conservative—

Base—

Aggressive—

Modeled improvement: 4 days / 7 days / 10 days faster collection.

The other two buckets

Bucket · 02

Bad debt prevented

Reduction in write-offs from earlier risk signals and proactive collection.

Conservative—

Base—

Aggressive—

Prevention rate: 5% / 10% / 15% of TTM bad debt.

What we assumed on your behalfevery substitution, listed

AR team size—estimated

DSO—industry benchmark

Open AR—derived

TTM bad debt—assumed

What these projections stand on · measured, not modeled

37%

Reduction in DSO. Stuut's headline collections outcome.

83%

Cash application prepared automatically. 90% median org.

82%

Collections emails sent fully automatically.

42%

Collections and dispute tasks fully automated.

$22B

Receivables collected across the network. Trailing 12 months.

Measured figures are aggregates across non-sandbox orgs in their current operating state. They are not a before/after guarantee for any single company. Where you left a field blank we substituted an industry or geography benchmark — every substitution is listed in the assumptions panel above.

Methodology

Working capital freed = one day of revenue × days of DSO improvement, valued at a blended cost of capital and discounted for realization.

Bad debt prevented = TTM bad debt × prevention rate, which varies by whether you track write-offs or reserves.

Team capacity reclaimed = AR headcount × fully-loaded cost × automation rate, adjusted for 75% coverage and 75% ramp. Suppressed for offshore teams and teams under three, where the saving shows up as cash impact instead.

By EOY pro-rates the annual run-rate across the weeks remaining between your target go-live date and December 31.

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Trusted by leading enterprises

Perkin

Verifone

Honeywell

Zoominfo

Case Study

NCR Voyix

Bishop

Case Study

“Within the first 5 weeks after go-live, Stuut allowed us to redeploy about 60% of the headcount cost associated with the invoice-to-collections process and invoices aged over 60 days reduced by over 40% in the first 90 days.”

Jeff Martini

CFO @ Bishop Lifting

Proven Results That Matter

40%

Average cash flow increase

47%

Faster DSO

70%

Reduction in manual tasks

Live in 3 days. Cash flow in 7.

Testimonials

"Stuut has let us scale AR coverage across our customer base in a way we couldn’t with headcount alone. We’re reaching more customers consistently and getting paid faster as a result. Now we’re expanding Stuut further upstream in order-to-cash to address the issues that often sit behind an unpaid invoice.”

Razvan Bratu

Head of Quote To Cash

Stuut is becoming the program to use from order entry to payment. Get full control of your complete process, detect issues very early, automate the boring work where employees can focus on difficult cases."

Edwin Naezer

Director, Value Creation

Within the first 5 weeks after go-live, Stuut allowed us to redeploy about 60% of the headcount cost associated with the invoice-to-collections process and invoices aged over 60 days reduced by over 40% in the first 90 days."

Jeff Martini

CFO

Stuut's agentic AI adapts to our collection strategies and keeps improving, learning which customers need a nudge versus a phone call, and handling the edge cases that would normally fall through the cracks. When you're collecting across hundreds of entities, that level of intelligence makes all the difference."

Vik Thankur

GM, Finance

Stuut relieves the day-to-day activities that are mind numbing of simply contacting customers, providing them invoices, and then trying to filter through all the feedback that comes."

Al VanLeeuwen

Fractional CFO

Evaluating Stuut reinforced for me how differently we need to think about AR technology. We didn’t need another system to help our team manage collections. We needed technology that could actually execute the work."

Alyssa Johnson

Director of Accounts Receivable

Stuut has exceeded all of our goals. Our overdue percentage dropped from 26% to 11% in two months, DSO is down 2 days, and our team absorbed substantial AR growth and trained new hires without collections falling behind. What would have caused aging to trend up just...didn't. Stuut is a product and team to bet on."

Dan Manshaem

CEO

The best AI tool for finance teams who care about speeding up their AR, especially if you also care about the cost efficiency of your AR team."

Howard Bornstein

President

Stuut makes our AR process faster, cleaner, and far less manual. We are excited to add even more agents to our order-to-cash process as they continue building."

Thomas Hultgren

SVP of Finance

Stuut is the next big thing. AR is the backbone of any successful business so having a product that can take care of the process is very impactful."

Krzysztof Nagaba-Poniatowski

Senior Collections Specialist

Stuut is the right solution for the work that was being overlooked, especially concerning all the smaller customers. It’s helped us collect faster, improved our working capital, and freed the team from manually chasing low-value AR.

Andrew Ross