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Journal Entry Drafting

Woodrow fuzzy-matches transactions to your customer master list, drafts balanced journal entries for your ERP, and exports a ready-to-upload CSV, flagging unmatched data for review.
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Journal Entry Drafting: Execution Plan
step 1
Ingest Transaction Data
Pull revenue, expense, payment, or adjustment data from your source systems, organized by entity, account, customer, vendor, and period.
step 2
Match & Draft Entries
Fuzzy-match each transaction to your customer master list—handling name variations, abbreviations, typos, missing fields, and system artifacts—then draft balanced journal entries for your ERP.
Output
Validate & Export CSV
Run completeness, balancing, date, and formatting checks, export an ERP-ready file, and flag unmatched or incomplete records for human review.

Journal entries ready for your ERP

Woodrow connects to your transaction sources, customer master list, and ERP to draft journal entries at scale. It fuzzy-matches messy transaction data to the right customer records, balances every entry, runs validation checks, and exports a ready-to-upload CSV, so your team can spend less time matching, formatting, and keying entries manually.
+ Outlook, Gmail, Slack, shared drives, and any other tool your team uses.
Fuzzy customer matching
Match transactions to your customer master list despite name variations, abbreviations, typos, missing fields, duplicate records, and system artifacts.
Balanced entries
Generate journal entries in the format your ERP requires, with debits and credits balanced before export.
Validation & CSV export
Run completeness, balancing, and date checks, then export a ready-to-upload CSV for NetSuite.
HOW WOODROW WORKS

Automate your processes with enterprise AI

Woodrow helps teams automate cross-system workflows with the accuracy, auditability, and controls enterprise work requires. Connect your systems, describe the process, and Woodrow runs the workflow while keeping every step visible and reviewable.
01
Describe your workflow
Tell Woodrow what you want to automate in natural language. AI maps the necessary steps, systems, rules, and review points, then builds the complete workflow for you.
02
AI works across your stack
As payroll volume grows, your team can handle more runs, more entities, and more complexity—without adding headcount.
03
Woodrow keeps the workflow current
As your process changes, Woodrow updates the steps behind the scenes so the workflow stays accurate without manual rebuilds or constant maintenance.
Auditable and secure
Woodrow is SOC 2 Type II certified. Every workflow runs with scoped permissions, clear review steps, and an audit trail of the actions taken. PII stays within your environment and is never used to train any model.
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Common questions

What kinds of journal entries can Woodrow draft?

What kinds of messy data can Woodrow handle?

What does Woodrow fuzzy-match against?

What happens when Woodrow cannot confidently match a transaction?

Does Woodrow work with my ERP?

Can Woodrow export entries for upload?

Does Woodrow post entries automatically?

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