TL;DR – The BPO industry is undergoing a massive transformation with AI, generative AI, and RPA at the core of business automation. In 2025, companies are shifting towards AI-BPO (AI-driven business process outsourcing) services to reduce operational costs, improve accuracy, and streamline processes. Studies show that 78% of businesses plan to increase their investment in AI and BPO automation, with companies already experiencing up to 70% faster invoice processing and 50-70% cost savings. As AI-driven outsourcing services continue to reshape industries, organizations that embrace automation will gain a competitive edge. Discover how ARDEM is using AI for BPO solutions can future proof your business operations.
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The top business process outsourcing trends continue to be an increased use of AI, increased use of business process automation and a larger move to the use of cloud services delivered from cloud platforms.
During the initial years, outsourcing was only used for basic processes such as data entry and payroll processing. However, as connectivity expanded and the technological skills of BPO companies advanced, businesses started outsourcing more and more processes/services. Today, you can outsource many backend processes and financial/operation functions such as invoice management, accounts payable processing, survey reporting, and utility bill management to name a few.
This has driven innovation and created new business process outsourcing trends and practices.
Surveys are created to collect data responses from your selected audience. Data could be collected from different population segments. Employee satisfaction surveys from employees. Customer responses for market studies. Patient Satisfaction surveys from patients receiving services from Providers. And so on. So how does ARDEM create a bot for processing survey data? Read More
In the Survey Workstream at ARDEM, we process a very large number of Surveys daily. These surveys are for multiple different clients and each survey content and format is different. The processing of surveys requires an excess of a hundred separate steps. Starting with sorting and separating of different surveys, file encryption and decryption, data capture of hundreds of fields, data quality audits, data tabulation, creation of presentation charts and ending with data delivery. As a result, businesses often find this process to be time consuming and inefficient. ARDEM utilizes bots for collecting and reporting data from surveys to help automate this process. Read More
Data entry is an essential part of any business. When data is analyzed, it can provide valuable insight to help drive business initiatives. In order for data to be valuable, it must be accurate. Many businesses implement a manual data entry process but find that trying to balancing both data quality and consistency is a difficult task. Large volumes of data entry need to be organized and completed with quick cycle time in order to maintain its value and achieve accurate data entry. Since human error is one of the most common reasons for inaccurate data, how do businesses ensure the accuracy of their data entry tasks? Read More
The average accounts payable workflow is embroiled by a repetitive and time-consuming process. With an automated solution, it allows businesses to better utilize and allocate their resources to maximize business efficiency. Lack of visibility increases the risk of errors and lost invoices which further increases the cost to process an invoice. Accounts payable departments are pressured with the need for real-time data, shorter cycle times, and lower operational costs. So, what are the best practices to automate your accounts payable process? Read More
OCR (Optical Character Recognition) works by converting images of handwritten or printed text into machine-encoded text. This text is made readable by machines and aims to automate data extraction through data capture technology. While this technology is used widely today, it does require some manual effort in order to produce the highest amount of accuracy, especially with utility bill auditing. Depending on the quality of the handwritten or printed text, OCR technology may choose a specific character based on what it determines is the best match. So how well does OCR automate your invoice and utility bill processing? Read More
Data entry is the most commonly implemented method of utility bill processing. However, traditional data entry methods are incredibly inefficient. While there have been improvements over time, many businesses are still inefficiently entering utility bills by hand. This slow and redundant process has a higher likelihood for errors and a slower cycle time increases the chance of late payments. With the rise in automation technology, businesses have been finding solutions to utilize technologies impacting utility bill processing. Read More