# How Countsy uses Vic.ai

**84%**: “We’ve seen an 84% decrease in processing time per invoice.”

As published on [vic.ai](https://www.vic.ai/resources/case-studies/countsy-case-study), January 2025. Captured by usedby on 2026-10-08.

- Company: [Countsy](https://www.usedby.ai/companies/countsy.md)
- Tool: [Vic.ai](https://www.usedby.ai/tools/vic-ai.md)
- Teams: Accounts Payable, Accounting

## What the story says

Countsy, an outsourced accounting and CFO services firm for startups, uses Vic.ai to automate invoice ingestion, coding, and approval across its clients' accounts payable. Accountants review AI-coded invoices instead of entering data manually.

Summary written by usedby from the source page, in English. The figures are those of Vic.ai and Countsy, not ours.

> It used to take our team 4-5 minutes per invoice, and now our average time per invoice is under 2 minutes.

- **78%**: “Today, 78% of invoices are processed entirely on Autopilot, requiring no human input”
- **95%**: “coding accuracy has reached 95%, reducing the need for corrections and rework.”
- **two weeks**: “I can get a new client set up within two weeks — or faster with an accelerated request.””

> Automating the ingestion and coding of invoices have proved to be a huge time saver.
>
> Colman Edwards, Director of Technology

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 84% is printed word for word on the page, near the name of Countsy.
- Checked: the passage quoted above is copied word for word from the page, near the name of Countsy.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Countsy uses Vic.ai. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/countsy-vic-ai · How we check: https://www.usedby.ai/methodology