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Accounting & financeDocument automation

Closing month-end four days earlier at Harbour & Vale

A 22-person practice was reconciling client ledgers by hand. We automated coding and matching, keeping the accountant as the approver.

4 days
Faster month-end
97%
Coding accuracy
2.3×
Clients per accountant
Problem

Skilled accountants doing unskilled matching

Harbour & Vale served 140 small business clients. Each month-end meant coding thousands of transactions and matching receipts by hand. Senior staff were spending the first ten days of every month on work a junior could do, if there had been a junior available.

Approach

Learn each client chart of accounts, then propose rather than decide

The system learns coding patterns per client from three years of approved history, then proposes a code and a match for each transaction with a confidence score. Nothing posts without an accountant approving it, but approving a screen of correct suggestions takes minutes instead of hours.

Compliance

Every suggestion carries its reasoning

For audit purposes each automated code records what it matched on: the vendor, the historical pattern, the receipt line. Reviewers see that trail beside the transaction, and the practice can produce it years later without reconstructing anyone memory.

Result

A month-end that finishes in the first week

Coding accuracy against accountant review sits at 97%. Month-end close moved four days earlier, and the practice took on 40 additional clients over the following year with the same headcount.

Before / after
Month-end close
Day 10Day 6
Transactions coded manually
100%9%
Clients per accountant
1125
Receipt match rate
74%96%

The value was not speed. It was that our people stopped doing the part of the job they resented.

HVManaging Partner, Harbour & Vale