Surrey CPA firm cuts month-end close from 3 days to under 4 hours with Canadian-tax-aware AI categorization
Surrey-based CPA firm (unnamed) · Surrey, BC · Accounting · Roles: Finance & Bookkeeping
What was done
AdaptAI built AutoLedger for a firm with 40+ SMB clients. It pulls transactions from QuickBooks Online, classifies them against Canadian tax categories with a GPT-4 prompt, and flags low-confidence items for human review.
Outcome
The developer reports roughly 5 hours saved per bookkeeper per week, month-end close reduced from three working days to under four hours, and eight new clients taken on without hiring. The firm is not named.
Evidence: Vendor case study (client unnamed). Figures are as reported by the source and have not been independently audited by AgentsNorth.
Agents & tools used
AutoLedger (custom, GPT-4)QuickBooks Online
Prompt Reconstructed by AgentsNorth
The source didn't publish its prompt. This is our reconstruction of a starting prompt for a similar workflow, not the company's actual prompt.
Categorize each transaction below into the client's chart of accounts. For each, return: account, GST/HST/PST treatment (ITC eligible yes/no), confidence 0–1, and a one-line reason. Anything under 0.8 confidence or involving meals, vehicles or home office goes to a 'needs review' list.
Source
AdaptAI · undated · link checked 2026-10-15