Supporting engine

Neural Bookkeeping

The clean, AI-ready data foundation every strategy requires.

Precision QuickBooks management transformed into AI-ready data science — or a clean partnership with the bookkeeper you already trust.

Overview

What you get

Bookkeeping is Layer 0 of the Neural CFO stack. Every forecast, valuation and ML model is only as good as the ledger underneath it.

NPE either runs your books directly or partners with your existing bookkeeper, re-architecting the chart of accounts and close process so the data is decision-ready, not just tax-ready.

Deliverables

What's included

◆Full AR / AP, payroll and inventory management
◆Monthly bank and credit-card reconciliations
◆Financial statement production by business day 5
◆Decision-ready chart of accounts (not just tax-ready)
◆Sales tax, 1099s and audit-ready file maintenance
◆Month-end close checklist and documented procedures
◆Clean handoff to your CPA at year-end
◆Or — supervised partnership with the bookkeeper you already trust

Scope

In & out of scope

In scope

＋QuickBooks Online or Desktop (Xero and NetSuite on request)
＋Monthly close, reconciliations and financial statements
＋Light controller oversight and exception review

Out of scope

−Income tax return preparation (coordinated with your CPA)
−Audit fieldwork (coordinated with your auditor)

Best for

Is this the right engine?

→Operators whose books are tax-ready but not decision-ready
→Companies adding any other NPE engine and needing a clean foundation
→Founders who want monthly numbers by business day 5, every month

Process

How it runs

01
Week 1
Diagnose current books; re-architect chart of accounts if needed.
02
Weeks 2–4
Catch-up and clean-up of prior months; document the close procedure.
03
Ongoing
Monthly close by business day 5 with exception review.

Other engines