Key Facts
- Manual invoice processing costs an average of $22.75 per invoice, driven by labor and errors.
- 66% of businesses spend over five days each month on invoice processing tasks.
- 57% of invoice data requires manual entry, creating significant inefficiencies and delays.
- Only 5% of accounts payable teams have fully automated their invoice and payment processes.
- AI automation can reduce invoice processing time by up to 75%, boosting operational efficiency.
- The AI-driven invoice processing market is projected to grow at a 32.6% CAGR to $47.1 billion by 2034.
- 71% of industry experts identified automation as the biggest invoicing trend in 2023.
Frequently Asked Questions
How much does it actually cost to process an invoice manually?
The average cost to process a single invoice manually is $22.75, driven by labor, errors, and delays. This cost includes time spent on data entry, approvals, and correcting mistakes.
Can AI really reduce the time we spend on invoice processing?
Yes, automating invoice processes can save up to 75% of the time spent, according to Bottomline Technologies. This means tasks that take days manually can be completed in hours or minutes with AI.
How common is full invoice automation among small and medium businesses?
Only 5% of accounts payable teams have fully automated their invoice and payment handling, despite 71% of industry experts predicting automation as the top trend. Most businesses still rely on partial or manual processes.
Will switching to AI eliminate the need for manual data entry?
AI can significantly reduce manual entry—currently needed for 57% of invoice data—but full elimination depends on system integration and document complexity. Custom AI solutions can automate extraction from unstructured invoices more effectively than off-the-shelf tools.
Is late payment really a big issue tied to manual invoicing?
Yes, 39% of U.S. invoices are paid late, with 61% of delays caused by incorrect invoices. Manual errors and slow approvals directly contribute to late payments, affecting cash flow and supplier relationships.
Why should we build a custom AI solution instead of using a subscription-based tool?
Custom AI avoids the brittle integrations and subscription chaos of off-the-shelf tools. It allows full ownership, scalability, and deeper integration with existing systems like ERPs, addressing specific business bottlenecks more effectively.