FIELD NOTE 019 min read
What is an AI bookkeeper, and what can it really do?
What an AI bookkeeper can realistically observe, prepare, perform, and prove—and where human judgment must remain in control.
Read the guideLedgerHQ field guides
Bookkeeping and AI resourcesfor accounting firms.
Practical guidance on AI bookkeepers, firm operating models, bank-feed automation, reconciliation, migration, human review, and the controls that keep accounting work trustworthy.
FIELD NOTE 0210 min read
Virtual bookkeeper vs. AI bookkeeper: what actually differs.
Compare remote bookkeeping services, virtual bookkeepers, software-assisted teams, and supervised AI bookkeepers before choosing one.
Read the guideFIELD NOTE 0311 min read
How to automate bank-feed coding without creating cleanup.
A practical framework for automating bank-feed coding with pending-state controls, trusted rules, AI research, exception queues, and posting review.
Read the guideFIELD NOTE 0412 min read
How to manage bookkeeping across 20, 50, or 100 companies.
Design a multi-company bookkeeping operating system with firm visibility, company scope, standard work states, exception ownership, and close evidence.
Read the guideFIELD NOTE 0510 min read
A practical bank-reconciliation workflow, step by step.
An account-based reconciliation workflow covering statement evidence, prior balances, posted activity, timing items, differences, and review.
Read the guideFIELD NOTE 069 min read
Bookkeeping software for a five-person accounting firm.
How a five-person accounting firm should evaluate bookkeeping software for multi-company work, permissions, exceptions, AI, reconciliation, and reporting.
Read the guideFIELD NOTE 0712 min read
A controlled QuickBooks migration checklist.
A controlled checklist for exporting, previewing, validating, importing, and reviewing QuickBooks financial history in a new bookkeeping system.
Read the guideFIELD NOTE 0811 min read
Human review vs. autonomous AI bookkeeping.
Choose appropriate human-review and autonomous-AI boundaries by evidence quality, reversibility, scope, external impact, and accounting risk.
Read the guideFIELD NOTE 0913 min read
How to evaluate AI bookkeeping software.
A due-diligence framework for evaluating AI bookkeeping software across accounting depth, controls, evidence, workflow fit, security, migration, and cost.
Read the guideFIELD NOTE 1010 min read
What an AI bookkeeper should never post automatically.
A risk-based guide to transactions and accounting actions that should stay out of unreviewed AI posting when evidence, scope, impact, or policy is uncertain.
Read the guide