Artificial Intelligence Is Making Increasing Headway In The Enterprise Back Office

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Curated from forbes.com →

Artificial intelligence is making some of the most remarkable progress in back offices of enterprises of all types. The back office is where business operations that support the main customer-facing parts of the organization operate. It handles finance and accounting, human resources, supply chain and logistics operations, IT and support technology, and all the other bits and pieces of the enterprise that are needed to make the rest of the operation work smoothly. The back office is the place where everything happens that doesn’t directly deal with customers. This can be anything from research, scheduling the receipt and making of payments, or management of facilities. Much of these operations involve human activities and business processes that can be improved and expedited through the use of intelligent, AI-enabled technology and systems. 

One of the places where AI can improve things is through theorder-to-cash process. This process involves everything from a customer placing an order to receiving payment for that order. For companies to receive payment they need to often create and send invoices which must be issued, sent, received, and then processed. This process involves both payment-related systems as well as accounts receivable-related systems and processes. Surprisingly, many invoices sent by businesses today are still sent via paper. AI-powered accounts receivable technology is helping companies make sure that they can get paid in a timely manner.  AI can also help make sure that the products or services a company has provided don’t go unpaid.

Paper invoices can be rife with errors, inconsistencies, and missing information, whether it’s from a miswritten zip code or address, or something not getting out in the mail on time. AI powered services for order-to-cash services can help businesses get paid by helping correct some of the errors that occur and keep things running efficiently. These intelligent systems help to resolve disputes, examine and process refund requests, and see where things may have gone sideways. It looks at these instances, analyzes them and can help to reduce errors in invoicing and billing due to the AI systems innate ability to identify patterns and anomalies in transactions and documents.

Beyond simply handling payment and receiving processes, AI-enabled systems can also identify best customers. The intelligent systems are able to identify who pays on time, buys frequently, or purchases certain types of products. Armed with this information, companies can create personalized incentives for those customers. Machine learning-powered analysis also helps to identify problems in products that could be happening, and from here it can help to initiate conversations with slow or dissatisfied customers and in turn make the process smoother for everyone involved. When human workers have to deal with these things, it can be a bit of an annoyance, but using AI allows for an always pleasant tone to improve the customer experience.

Companies are increasingly using electronic payments for invoices, which helps with many of the paper-based issues. Even in these cases, AI-based systems are helping with back office processes. AI systems help enterprises keep tabs on their customers and make sure that payments are being processed in a timely fashion. AI can follow the entire process and make sure companies are receiving their payments on time. This can be especially helpful in larger organizations such as government agencies or hospitals that deal with a constantly changing body of customers and payers.

The second major area whereAI is innovating back office operationsis through purchase-to-pay systems and processes. Companies need to purchase and procure a wide range of items from office equipment to manufacturing supplies and everything in between.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.