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AI Speeds Up Accounts Payable Processing

AI-powered automation can significantly enhance companies' accounts payable processing by reducing manual work and costs.

24 September 2026
AI Speeds Up Accounts Payable Processing
Image is an AI-generated illustration

The processing of accounts payable invoices has traditionally been a time-consuming and costly endeavor for businesses, involving both finance departments and operational staff. Automating this process with artificial intelligence can offer substantial savings and streamline operations.

In current accounts payable workflows, the accounts payable department is responsible for verifying invoices, managing supplier data, and routing invoices for approval. Subsequently, invoices are returned to accounts payable for payment and transfer to accounting. The manual routing of invoices alone can consume a significant amount of time for accounts payable staff, potentially minutes per invoice, depending on the company's size and invoice complexity.

On the business side, reviewing and coding invoices takes an average of five to ten minutes per invoice. In large organizations processing thousands of invoices monthly, this translates to hundreds, even over a thousand, hours of weekly work from operational personnel. Coding, in particular, consumes time when performed by multiple managers sporadically.

The advancements in AI technology have introduced new possibilities for automating accounts payable processing. AI can learn automation rules directly from data without manual programming and continuously improve its performance as it handles more invoices. By combining this intelligent automation with traditional rule-based automation, significant efficiencies can be achieved. This reduces the administrative burden and frees up personnel resources for more productive tasks.

Many companies, however, do not fully grasp the total time spent on accounts payable processing because it is distributed among numerous individuals. More effective automation can bring a significant productivity leap to the organization, allowing operational staff to focus on their core competencies rather than administrative tasks.

Original source: rillion.com