Balance sheet reconciliation that produces audit-ready outputs
GAAP-based, rule-driven reconciliation engine for Controllers who need explainable, defensible close processes.
Not a chatbot. Not a copilot. An accounting inference engine that turns messy GL detail into structured, reconciled balance sheet clarity.
Join the Controller waitlistEvery month, Controllers face the same questions
"What's actually sitting in accrued expenses?"
Accounts accumulate transactions that never get properly reconciled or cleared.
"Why do prepaid balances never fully tie out?"
Manual amortization schedules drift. Accruals don't match invoices. Excel breaks.
"What's buried in obscure GL accounts no one wants to touch?"
Legacy accounts with mystery balances that survive every audit but never get cleaned up.
The cost is real:
- •Days spent on manual reconciliations instead of analysis
- •Audit exposure from unexplained balances
- •Mental overhead tracking fragile Excel-based processes
- •Risk when key people leave and reconciliation logic disappears
How Rowy works
Deterministic accounting logic, enhanced by machine learning for pattern recognition and inference.
Ingests GL detail and source data
Connects to your ERP or accepts flat files. Reads transactions, invoices, payments, and supporting schedules.
Applies GAAP-aligned reconciliation rules
Uses accounting logic to match debits to credits, group related transactions, and identify expected patterns.
Groups transactions into explainable structures
Organizes line items into reconcilable units. Each balance becomes a set of explained, traceable components.
Flags true exceptions (not noise)
Surfaces unreconciled items, timing differences, and genuine accounting issues that require attention.
Produces audit-ready outputs
Generates reconciliation workpapers, supporting schedules, and exception reports in auditor-friendly formats.
See it in action
Watch raw GL data snap into reconciled, audit-ready structures in 60 seconds.
Product demo video (60-90 seconds)
Shows GL data transforming into reconciled structures with exceptions clearly isolated
What Rowy is not
Not a generic AI copilot
Rowy uses accounting logic first. Machine learning enhances pattern recognition, but rules and GAAP principles govern outputs.
Not a chat interface
Controllers need deterministic reconciliation, not conversational uncertainty. Rowy produces structured outputs, not suggestions.
Not static Excel workpapers
Reconciliations become operational infrastructure, not fragile spreadsheets that break when formulas change or people leave.
Controller control
You own the rules. You define materiality thresholds. You approve classification logic.
Rowy executes your accounting judgment at scale, with full auditability and explainability.
Help us build for Controllers
We're validating Rowy with accounting leaders at startups and mid-sized companies. Join us to shape the product and get early access.
Early access includes discovery calls, product input, and priority onboarding.