Every reminder
waits for your yes.
RecoupAR reads your QuickBooks or Xero ledger, drafts the next collection message in your firm's voice, and shows exactly why it's suggesting it. You approve, edit, or snooze. Nothing sends itself.
The judgment calls happen before the message goes out — not after a client complains.
Large invoices default to ACH. Risk drops, cards pause.
Above your threshold, RecoupAR asks for bank transfer instead of card — and if a client's risk grade slips, their card privileges suspend automatically, before it costs you a swipe fee.
It offers a payment plan before the client has to ask.
When a buyer looks cash-constrained, RecoupAR calculates a Stripe installment offer straight from how overdue they already are, and drafts it for your approval.
A complaint stops the robot, not the other way around.
The moment a client flags a billing disagreement, outreach freezes and routes to a person. No automated reminder ever argues with someone who has a legitimate objection.
Someone says “Friday” — RecoupAR goes quiet until Friday.
A committed pay date silences all automation until then, and picks back up gracefully if the balance is still open — no awkward reminder landing the day after they promised.
It never sounds like a collections agency, because you told it not to.
Set a banned-word list and a tone for your firm. Every draft is checked against it before a human ever sees it. Try it below — this is the real, working configurator.
Every suggestion shows its math before anyone approves it.
Days overdue, historical delay index, threshold logic — the reasoning is right there, not buried behind a black box you have to trust blindly.
Auto-resolve small discrepancies.
Wire fees and bank deductions shouldn't clutter your aging report. When a payment lands within a small, configurable tolerance of the invoice total (defaulting to $5), RecoupAR automatically closes it out as written off — with the reason and amount logged — instead of leaving a $2.75 balance sitting open. Every write-off is recorded in the audit trail, and the check runs immediately before any reminder goes out, so a customer is never emailed over a rounding difference.
One statement, not a flood of emails.
A customer with several overdue invoices doesn't need five separate reminders — they need one clear picture. RecoupAR automatically groups a customer's eligible open invoices into a single AI-drafted Statement of Account with one "Pay All" checkout link, instead of sending an email per invoice. Your review queue shows it as one item — a "Statement · 3 invoices" card with the itemized breakdown — so approving it is still one click.
See how much cash is trapped in your ledger.
Adjust the variables to estimate outstanding invoice exposure and net recovery gains.
Ledger Parameters
Match settings to monthly accounting data.
Outstanding funds locked in unpaid balances.
Accelerated cash under 35%–65% target recovery curves.
Savings from enforced bank transfers (ACH).
Manual invoicing chase hours eliminated.
RecoupAR can see your ledger. It cannot change it.
That distinction is the whole security model. No invoice gets posted, edited, or deleted by an algorithm — ever.
Read our full security documentation →read:invoices). RecoupAR has no bank login access, no fund-movement capability, and no password access.Six kinds of firms, six different playbooks.
Not a bet on one vertical while we wait and see — we built and maintain a distinct playbook for each of these six, deliberately, because collections logic that works for a law firm's trust account breaks for a construction firm's retainage schedule.
Priced by how much of the work you hand over.
FAQ
No. Every drafted message sits in the approval queue until someone clicks Approve — unless your firm explicitly turns on auto-send for a specific segment. Nothing goes out by default.
Grew Microsoft's developer tools business past $1B, then led PwC's Microsoft Generative AI & Copilot practice. Wrote CEO speeches for Bill Gates and Steve Ballmer.
Spent 16 years at Microsoft, building its AI Solution Acceleration org from scratch and turning enterprise AI building blocks into production systems for Fortune 500 leadership.
We're not chasing venture-scale growth — we're building a tool disciplined enough that a controller would recommend it to another controller.