Case Study
Utilizing Intelligent Automation to
Revolutionize Financial Services
Introduction
Financial Services company eliminates mundane and repetitive tasks, resolving operational inefficiencies
A financial services firm was able to leverage Intelligent Automation in several areas across the business. Their main goal: to automate repetitive tasks within the organization to free up employees to focus on higher-value work. Thus, streamlining operations, increasing consistency, and delivering faster results to both internal associates and clients.
Challenges
This Financial Services Company discovered that their processes were not optimized, which caused several challenges across the business:
- Due to human error claims were being rejected and reimbursements were delayed.
- Operational inefficiencies hindered the company's ability to scale, thus creating a stagnant environment
Approach
The firm partnered with Lydonia and adopted their automation platform for several reasons. Their previous automation system lacked expertise and support, and their bots were not being efficiently utilized, hampering their automation program. They needed scalability and access to developers, which the new automation solution provided. However, the standout factor was the personalized and innovative approach offered by Lydonia. Lydonia took a proactive stance in identifying automation opportunities and exploring untapped areas within the firm’s processes.
Results
By partnering with Lydonia Technologies to develop an intelligent automation program, the company has experienced:
- A 17X increase in speed and efficiency in their automation. The speed of development and execution of automations enabled the team to develop their intelligent automation program further, spanning multiple lines of business.
- Improved utilization of bots, which garnered the maximum value from their automation investments.
- Scale and Speed: Lydonia's developers, program managers, and customer success team proved to be a significant advantage, thus facilitating scalability and faster implementation of automation initiatives.