Artificial Intelligence (AI) is everywhere. And companies that fine new or better ways to use AI create advantages for themselves, largely because it may give them the ability to scale things a reduced cost, and also because it may attract new clients who want this technology advantage.
In accounting, AI is most typically used to automate bookkeeping functions: recognizing payees and automatically categorizing transactions, matching transactions (ex. matching a purchase order to an invoice), automatically producing certain financial reports, basic financial analysis. (AI isn’t yet good at complex financial analysis, but the ability to interpret data will continue to develop.)
Overall AI decreases the need for manual tasks such as inputting data and routine analysis of financial statements. That frees up accountants to do more specialized tasks. Think of it as automating the administrative tasks so the accountants can do the creative tasks.
I also use AI in my forensic accounting practice, although you might not recognize it as that. When I use software to perform data analytics (which has been around for a long time), I’m using AI. The data analytics are often centered around analyzing large sets of data to identify anomalies or patterns that are concerning. But we can also use AI to help link sets of data (think of matching transfers between accounts or matching bank transactions to underlying accounting system data).