Digits

Digits is an AI accounting platform built around an autonomous general ledger that categorises transactions, detects accruals, and maintains depreciation schedules with limited manual input, learning from historical patterns and accountant corrections.

How accounting firms use it

Firms use it to shift bookkeeping effort from processing to review. Rather than coding each transaction, staff examine what the system has done and resolve the items it could not settle confidently — which is a materially different use of an accountant’s time and the basis of most AI bookkeeping propositions.

Because it runs alongside an existing stack rather than replacing it, firms can trial it on a subset of clients without migrating anyone’s books. That matters, since the accuracy of any learning system is client-specific and cannot be assessed from a demonstration.

Key features

Transaction categorisation runs continuously against connected accounts, with accrual detection and depreciation schedule maintenance handled automatically rather than through period-end journals.

Exception handling surfaces items the system cannot categorise confidently, with the basis for uncertainty shown so a reviewer knows what to examine.

Financial reporting and variance analysis generate from the maintained ledger, giving clients current figures rather than a position that lags by weeks.

Who it’s best for

Firms wanting to introduce AI-assisted bookkeeping incrementally, particularly those with a volume of small clients where routine coding dominates the work and staff time is the constraint on growth.

Firms whose bottleneck is document collection rather than categorisation should address that first with Dext, Hubdoc, or LedgerDocs. Booke AI is the closest comparison, and Docyt suits multi-location clients needing per-site reporting.