Bookkeeping Cleanup
Fix messy books and stabilize your close process. Make reports usable again.
Balenta delivers bookkeeping cleanup designed for US businesses. We use automation to reduce repetitive work, then apply structured human review. Fix messy books and stabilize your close process.
What's Included
- →Find root causes: feeds, mappings, duplicates
- →Remove duplicates and uncategorized drift
- →Normalize payouts and fees
- →Simplify chart of accounts where needed
How It Works
- →Step 1: Diagnose issues and define plan
- →Step 2: Fix feed/mapping problems
- →Step 3: Clean and reconcile key periods
- →Step 4: Deliver clean statements and prevention plan
Who This Is For
- →Businesses with messy or outdated books.
- →Teams whose reports no longer make sense.
- →Founders preparing for tax season, fundraising, or audit.
Deliverables
- →Before/after cleanup summary
- →Clean financial statements
- →Process recommendations to prevent recurrence
Tools Supported
QuickBooks Online · Xero · Stripe/PayPal/Shopify payout mapping
Timelines
Typical cleanup: 2–6 weeks depending on severity and how many periods are affected.
Controls & Confidentiality
Confidentiality-first handling is built into our workflow. Access is restricted to what is required to deliver the work, and review checkpoints reduce preventable errors.
Bookkeeping Cleanup — Common Questions
Uncategorized bank transactions, duplicate imports from payment processors, and incorrect chart of accounts mappings.
Adjustments are documented clearly. We review all changes with you before finalizing.
We document root causes and provide process recommendations to prevent recurrence.
Yes. We simplify and standardize the chart of accounts as part of every cleanup engagement.
Yes. Most cleanup clients transition to monthly bookkeeping once the books are stable.
Yes. We reconcile Shopify, Amazon, Stripe, and PayPal payouts as part of cleanup.
Simplify Your Financial
Management Today
Automation for speed, human review for accuracy, and confidentiality-first handling of your financial data.