Typing invoice details might only take 5–6 minutes per document, but across 20,000 invoices a month, that's over 2,000 hours of repetitive work.
That's almost one full-time employee doing nothing but data entry. With OCR automation, that effort drops by nearly 70%, freeing teams to focus on vendor management, analytics, and month-end closing instead of typing numbers all day.
Spent on manual data entry for 20,000 invoices
Achieved with OCR automation
Even the most diligent data entry teams make mistakes — about 2% of invoices contain at least one error. Each correction can cost ₹400–₹600 in staff time and coordination.
OCR and AI automation bring that down to near-zero error rates, ensuring consistency across invoices, tax codes, and PO validations — and saving lakhs every month in avoidable rework.
Many suppliers offer 1–2% early payment discounts, but those only matter if invoices move fast. Manual workflows often take 10–12 days from receipt to payment, meaning discounts are missed and cash flow tightens.
Automated workflows cut this to under 3 days, helping finance teams consistently capture early-payment gains that can add up to ₹20–30 lakh annually.
10–12 days payment cycle
Under 3 days payment cycle
₹20–30 lakh in early payment discounts
In a manual setup, invoices live in emails, drives, and paper files — creating chaos at audit time. Locating 3–4 months of invoices can take entire days, and missing even one document can delay audits or raise compliance flags.
Automation maintains a digital trail for every invoice — making retrieval instant and audit readiness built-in.
As invoice volumes grow, manual processes scale linearly — double the invoices, double the manpower. If a company processing 20,000 invoices per month adds another 10,000, it may need two or three new hires just to keep up.
OCR and AI automation process the same volume with no additional staff, reducing cost per invoice from around ₹900 manually to ₹250 or less — an annual saving of nearly ₹9 crore at scale.
Accounts Payable automation powered by OCR and AI is cutting invoice processing costs by up to 80%, shrinking cycle times from 11 days to under 3, and improving visibility across finance teams.
The results are consistent across industries:
10–12 days payment cycle
Reduction in manual effort
Reduced to near-zero with automation
01
11 days average cycle time
02
Automated data extraction begins
03
Smart approval workflows activated
04
Optimized Results
The financial benefits of automation extend far beyond simple cost per invoice calculations. Companies see immediate and long-term returns across multiple areas of their finance operations.
At scale with automation
Achieved with OCR automation
Manual invoice processing carries significant hidden costs. Automation transforms Accounts Payable, delivering speed, accuracy, and strategic value.
Hundreds of hours freed for strategic work
Near-zero error rates
Shift focus from spreadsheets to strategy