Accounts payable · Production

Countsy processes invoices 84% faster with 95% accuracy using Vic.ai AP automation

The problem

Countsy manually processed up to 3,500 invoices per month at 4–5 minutes each — totaling 300 hours monthly — with no visibility into processing speeds, making the workflow unsustainable at the pace their high-growth startup clients demanded.

Workflow diagram · grounded in source
1
Invoice ingestion
trigger
“adopted Vic.ai's AI-powered platform to automate invoice ingestion, coding, and approval workflows”
2
AI GL dimension coding
ai_action
“The AI predicts GL dimensions — such as cost account, department, and location — with up to 95% accuracy”
3
Autopilot processing
ai_action
“78% of invoices are processed entirely on Autopilot, requiring no human input”
4
AI-assisted accountant review
human_review
“By shifting the workflow from manual entry to AI-assisted review, Countsy's accountants now delegate invoice data entry to the Vic.ai platform”
5
ERP and payments integration
integration
“NetSuite for accounting, with Bill.com and Expensify for payments and reimbursements — allowing for seamless integration across platforms”
6
Analytics-driven coaching
feedback_loop
“VicAnalyticsTM gives us the ability to enhance employee engagement to drive technology adoption. Before Vic.ai, we had no reliable data to help us measure processing speeds. Now we can see the average processing time per invoice, broken …”
Reported outcome

After deploying Vic.ai, 78% of invoices are processed on Autopilot with no human input, coding accuracy reached 95%, and processing time dropped 84% to under 2 minutes per invoice — freeing hundreds of hours each month for higher-value work and enabling Countsy to scale without proportional headcount.

Reported metrics
Invoice processing time reduction84%
Coding accuracyup to 95%
invoices processed on Autopilot78%
Average processing time per invoice (after)under 2 minutes
Show all 9 reported metrics
invoice processing time reduction84%
coding accuracyup to 95%
invoices processed on Autopilot78%
average processing time per invoice (after)under 2 minutes
average processing time per invoice (before)4-5 minutes
monthly invoice processing hours (before)300 hours monthly
monthly invoice volumeup to 3,500
time savings translated to higher-value workhundreds of hours each month
client onboarding timewithin two weeks
Reported stack
Vic.aiVicAnalyticsNetSuiteBill.comExpensify
Source
https://www.vic.ai/resources/case-studies/countsy-case-study
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After deploying Vic.ai, 78% of invoices are processed on Autopilot with no human input, coding accuracy reached 95%, and processing time dropped 84% to under 2 minutes per invoice — freeing hundreds of hours each mont…

What tools did this team use?

Vic.ai, VicAnalytics, NetSuite, Bill.com, Expensify.

What results were reported?

Invoice processing time reduction: 84%; Coding accuracy: up to 95%; invoices processed on Autopilot: 78%; Average processing time per invoice (after): under 2 minutes (source-reported, not independently verified).

How is this accounts payable AI workflow structured?

Invoice ingestion → AI GL dimension coding → Autopilot processing → AI-assisted accountant review → ERP and payments integration → Analytics-driven coaching.

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