Invoice processing is a critical but time-consuming task for businesses of all sizes, considering the amount of data required to collect, analyze and process the information. Here, AI-enabled document processing can play a role in extracting documents from multiple resources and processing the information faster. Using AutomationEdge’s IDP in conjunction with RPA bots and business process automation, a major product distributor, Transmed, improved its invoice process using intelligent automation solutions.
Each day, the firm receives over 1000 invoices, most of which have unique formats. Due to the enormous workload, there was a substantial risk of human error. Moreover, if the problems weren’t addressed, any errors would have damaged the vendor-client relationship, which would have resulted in substantial losses for the company.
Using AutomationEdge’s Intelligent Document Processing solution, Transmed was able to Process 1000 invoices daily using AI bots. Having AI in place, Transmed was able to improve its employee productivity by 70%.
Service Desk Automation
The service desk is the lifeline of IT support in any organization. Right from routing service tickets to extracting information for faster resolution, the IT service desk has a lot on its hands to serve. With a lot of data management and processing involved, AI-enabled bots can benefit both service desk agents and customers at the same time. Take another AutomationEdge client example.
Wilsonart, a manufacturing company, was handling a lot of service ticket requests like account creation, sharing folders and data access. Handling multiple data violations, managing data retrieval and providing operation support 24/7 was a constant challenge. Using intelligent automation in the process, Wilsonart was able to fast-track its service desk operations by easily assigning service tickets to the right agent to offer instant resolution and create a scalable design to handle high-volume service ticket requests. With Intelligent Automation in place, Wilsonart achieved 95% manual effort reduction and 100% error-free service desk operations.
In companies dealing with a high volume of daily transactions, the reconciliation process can consume a considerable amount of time. This challenge is particularly pronounced in financial institutions, where customer transactions form the core of the business model.
Also, managing data extraction and checking discrepancies between data is another challenge that makes data reconciliation a suitable use case for intelligent automation.
One of our customers, HDFC Bank, used to manually reconcile a large volume of transactions daily by cross-referencing multiple spreadsheets. Their team of employees had the task of matching entries from various external banks with their internal spreadsheet of daily transactions to ensure data accuracy. This process was not only time-consuming but also prone to errors. To reduce the manual efforts and fast-track the reconciliation process, AutomationEdge built RPA bots to automate the process and layer it with AI to make sure that bots can understand the data variations and achieve a 90% TAT reduction in the reconciliation process.
Employee onboarding is a critical process that sets the tone for an employee’s experience with an organization. Intelligent automation can simplify and accelerate this process by automating administrative tasks such as document verification, background checks, and account provisioning. Automated onboarding workflows ensure consistency, compliance, and a positive onboarding experience for new hires, allowing HR teams to focus on more strategic aspects of talent management.
One of our biggest customers, Axis bank, was struggling to handle the manual and tedious task of matching new employee details and handling 50+ employee background verification requests per day. Here AutomationEdge’s Intelligent automation solution helped create an automated system that handled 50+ requests using AI bots and reduced 1 FTE efforts.
Claims processing with intelligent automation involves leveraging advanced technologies such as Robotic Process Automation (RPA) and machine learning to automate and expedite the end-to-end claims workflow. From data extraction in claim forms to validation and assessment, intelligent automation ensures a streamlined and efficient process, reducing manual intervention and enhancing accuracy. This approach not only accelerates claims processing times but also helps identify and prevent fraudulent claims through data analytics.