Back-Office Automation for a Service Business
A landscaping company was losing nearly a full workday every week to receipts, invoices, and accounting cleanup. We built a system that collects, extracts, validates, logs, and flags financial documents automatically.
8 hrs → 17 min
A week's worth of manual data entry, automated. The system processes receipts overnight so the owner starts Monday with clean books.
11% → 1.8%
Error rate on processed receipts. Billing discrepancies and tax-time corrections stopped being a recurring problem.
$8,026/yr
The true cost of manual entry — time, error corrections, and downstream billing issues — eliminated from the books.
[ how it works ]
flowchart LR
A["Gmail\nEmail receipt"] --> R1{Router}
M["Manual\nDrop-in"] --> R1
R1 --> C["AI LLM\nExtract fields"]
C --> D["JSON\nValidate"]
D --> E["Google Sheets\nLog record"]
E --> R2{Router}
R2 --> G["Slack\nFiled"]
R2 --> H["Slack\nFlagged"]
R2 --> I["Slack\nDigest"]
The owner no longer starts the week buried in receipts. The books are cleaner, issues are flagged earlier, and admin no longer consumes a full workday.
