Reconciliation · Categorization · Reporting

Accounting Process Automation Services

Month-end close shouldn’t take your team two weeks of late nights. Our accounting automation workflows handle bank reconciliation, expense categorization, journal entries, intercompany eliminations, and financial report generation - cutting close time in half and eliminating the manual errors that cause restatements.

Accounting automation dashboard showing automated bank reconciliation and financial reporting workflows

Close the books in days, not weeks

Accounting teams spend the majority of their time on repetitive, rule-based tasks: downloading bank statements, matching transactions to invoices, categorizing expenses, creating journal entries, reconciling intercompany balances, and compiling financial reports. These tasks follow predictable patterns and business rules - which makes them ideal automation candidates. Our accounting automation pipelines handle the high-volume, low-judgment work that consumes your team’s time: automated bank feeds that download and match transactions daily instead of monthly, AI-powered expense categorization that applies GL codes based on vendor, amount, and description patterns, rule-based journal entry creation for recurring transactions like depreciation, accruals, and prepaid amortization, intercompany elimination workflows that reconcile and eliminate cross-entity transactions automatically, and financial report generation that compiles P&L, balance sheet, and cash flow statements from your GL data. Your accountants focus on analysis, advisory, and exception handling - not data entry and reconciliation.

What changes when accounting runs on autopilot

50% Faster Month-End Close

Automated reconciliation and report generation compress the close process from 10-15 business days to 5-7. Continuous close practices can reduce this further to 2-3 days for routine months.

Automated Bank Reconciliation

Bank transactions are downloaded daily and matched against your GL automatically. Exact matches are cleared instantly. Fuzzy matches (amount matches with date differences) are suggested for review. Unmatched items are flagged for investigation.

AI Expense Categorization

Expenses are automatically coded to the correct GL account based on vendor name, transaction amount, description keywords, and historical patterns. New vendors are suggested based on similar existing categorizations.

Recurring Journal Entries

Depreciation, amortization, accruals, prepaid expense allocation, and other recurring entries are generated and posted automatically each period. Schedules are maintained and adjusted without manual calculation.

Intercompany Automation

Cross-entity transactions are identified, matched, and eliminated automatically. Intercompany balance reconciliation runs continuously instead of once per close cycle, catching discrepancies in real time.

Audit-Ready Documentation

Every automated transaction includes a complete audit trail: source data, matching logic, categorization rule applied, and approval record. Reconciliation workpapers are generated automatically for auditor review.

From manual close to automated accounting

1

Assess

We map your current close process, identify bottlenecks, and prioritize automation opportunities by time savings and error reduction potential.

2

Connect

Bank feeds, ERP systems, expense platforms, and intercompany ledgers are connected to our automation layer. Data flows are established and validated.

3

Automate

Reconciliation rules, categorization models, journal entry templates, and report formats are configured and tested with your historical data before going live.

4

Optimize

Monthly reviews track close time, error rates, and manual intervention frequency. Categorization models improve over time. New automation opportunities are implemented in each cycle.

ISO 27001 Certified
ISO 9001:2015
NDA for Every Team Member
Encrypted Data Transfer

Accounting Automation FAQs

We integrate with QuickBooks Online and Desktop, Xero, Sage Intacct, NetSuite, SAP Business One, Oracle Financials, Microsoft Dynamics 365 Finance, FreshBooks, and Wave. For bank feeds, we connect directly to bank APIs or use aggregators like Plaid and Yodlee. Expense management integrations include Expensify, Brex, Ramp, Divvy, and corporate card feeds.
After initial training on your historical transaction data, categorization accuracy typically reaches 90-95% within the first month and 95-98% within three months as the model learns from corrections. The model is trained on your specific chart of accounts, vendor list, and categorization preferences - not generic industry patterns.
Yes. Our automation handles multi-entity consolidation, intercompany eliminations, and multi-currency translation. Exchange rates are pulled from reliable sources daily. Intercompany transactions are matched across entities using reference numbers, amounts, and dates. Elimination entries are generated automatically during the consolidation process.
Absolutely. We map our automation to your existing close procedures - the same steps your team follows today, but executed automatically. Your close checklist becomes the workflow: each step is either fully automated, partially automated (human review required), or manual (complex judgment calls). Over time, more steps move from manual to automated.
Every automation includes exception handling. Transactions that don’t match rules, categorizations below the confidence threshold, and reconciliation items with unusual patterns are flagged and routed to the appropriate team member with full context. The goal is not to eliminate human judgment - it’s to reserve human judgment for items that genuinely need it.

Ready to automate your accounting processes?

Get a free close process assessment. We’ll identify which steps can be automated and estimate the time savings for your next month-end close.

No commitment required. We respond within 24 hours.