The AI agents are designed to reduce manual work in general-ledger (GL) coding, purchase-order (PO) matching and invoice-approver functions, the company said in a Tuesday (June 10) press release. They do so by automatically filling in GL codes based on historical invoice data from the team using the solution, automatically retrieving PO matches at the line level and automatically assigning invoice approvers within a user group based on historical data, according to the release. “These smaller tasks often impede finance teams’ ability to focus on larger initiatives, so AI is the ideal solution to streamline decision-making,” Deepti Vedala, director of global AI at PairSoft, said in the release

Artificial intelligence is reshaping corporate finance, with accounts payable (AP) functions at the forefront of the transformation. The PYMNTS Intelligence report “Smart Spending: How AI Is Transforming Financial Decision Making,” a collaboration with Coupa, quantifies how enterprises are using AI, as well as the perceived opportunities and challenges surrounding its adoption, particularly within the AP function. AI is already altering how companies manage their finances, improving areas like payment processing, expenditure visibility and operational efficiency. The report’s insights are based on a survey of 60 chief financial officers at firms in the United States that generated at least $1 billion in revenue last year. Conducted from Feb. 6 to Feb

Infosys’ business process management arm, Infosys BPM, has added artificial intelligence agents for invoice processing to its Infosys Accounts Payable on Cloud solution. This solution makes invoice processing largely autonomous to enhance efficiency and accuracy, the company said in a Friday (May 30) press release. The solution includes the capabilities of the suite of generative AI services, solutions and platforms called Infosys Topaz, as well as Microsoft’s AI stack, including Azure AI Foundry and other large language models (LLMs), according to the release