
AI Month-End Close Assistant for an Accounting Firm
A close assistant that categorises bank transactions, proposes reconciliations, drafts client questions and tracks each client's close checklist.
Each month-end close took 6 to 8 business days, staff worked late in close week, and the firm turned away new clients for lack of capacity.
The approach.
- 01Learned each client's categorisation history from the ledger.
- 02Proposed categories and reconciliations with confidence scores.
- 03Drafted plain-language questions to clients for unclear items.
- 04Accountants review and post everything; nothing posts automatically at first.
Claude categorises transactions from history and context, explains unusual items and writes the client questions an accountant would ask.
How we measure it.
Close time is measured per client from period end to sign-off. Capacity counts clients per accountant. Accuracy is the share of AI categories accepted without change.
Before you ask.
Not by default. Beyond Technologies has accountants approve postings until accuracy is proven for each client.
QuickBooks Online and Xero through their APIs, and others through exports.
Want this measured on your own data? Start with a pilot.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.