面臨的挑戰
手動發票處理拖累月結進度
The 5-person finance team processed 200+ invoices per month manually. Each invoice required data extraction, validation against PO records, entry into the accounting system, and exception flagging. Monthly close was taking 5+ days because the team couldn't keep up with the volume.
The CFO had been asking about AI but was skeptical of the ROI. Previous automation tools required expensive implementation consultants and 6-month timelines that never delivered on promises.
解決方案
JieGou 如何簡化發票流程
The team installed the Finance Starter Pack in 5 minutes — no consultants needed. Three recipes became core workflows: Invoice Processing (extract and validate invoice data), Expense Report Analyzer (flag policy violations), and Month-End Reconciliation (cross-reference ledger entries).
The ROI dashboard was the key to leadership buy-in. Within 3 days of using the platform, the CFO could see exactly how many hours were saved and the dollar value — the $49/mo Pro plan paid for itself before the first week was over.
成果
可衡量的影響
Invoice batch processing
Monthly close time
Plan payback period
Team hours saved weekly
採用時程
從安裝到全面採用
第 1 天
Installed Finance Starter Pack. Ran Invoice Processing on a batch of 20 invoices. Validated accuracy against manual results — 98% match rate.
第 1 週
Connected Google Sheets for data export. Set up recurring schedule for daily invoice processing. Added Expense Report Analyzer for AP team.
第 1 個月
Monthly close dropped from 5 days to 2. CFO approved Team plan for expansion. Exploring HR Pack for payroll-related workflows.
"The ROI dashboard showed our CFO exactly how much time we were saving. That killed the "is this worth it?" question on day 3. No consultant could have delivered results this fast."
This case study represents a typical adoption scenario based on the types of teams JieGou is designed for. Results may vary based on team size, workflow complexity, and usage patterns.