White-label RecoupAR under your firm's name, connect each client's QuickBooks or Xero, and bill a monthly fee for collections your team was already trying to do by hand. You keep the spread.
Every reminder sits in an approval queue by default — nothing sends without your team's sign-off, unless your firm explicitly opts a client segment into auto-send.
Move the sliders to match your firm. This recomputes as you go — nothing here is a screenshot.
Your clients are trusting you with their books. The connection is built so that trust never has to extend past what's necessary.
SECURITY POSTURE TODAY: read-only OAuth scopes, AES-256 encryption at rest, TLS 1.2+ in transit, per-client row-level isolation. We are not yet SOC 2 certified — that audit is on our roadmap as we bring on our first cohort of firms, and we'll tell you the moment it's complete.
Messy books happen. Disputes, duplicate invoices, partial payments, and anything else that looks unusual get flagged for your team to review by hand — the same approval step that governs every reminder governs every exception, too. Nothing gets auto-resolved quietly.
Every number on this page is either a live calculation or clearly labeled as illustrative. We have no simulated case studies to show you — we'd rather earn the first ones with your firm.
Distinct from RecoupAR's direct customer pricing — this is what your firm pays, not what you charge clients.
We deliberately keep the two separate: the direct product is retail-priced and self-serve for businesses that find us on their own. Partner-sourced clients you connect under your firm's tier are yours — we don't approach your clients directly, and we don't undercut your pricing to them. If a client comes to us first and later mentions your firm, we route them back to you.
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.