Robotic process automation (RPA) is software that performs repetitive tasks, which were historically carried out by human employees. The aim of RPA is to increase workforce productivity, allowing skilled employees to focus on more value-adding tasks.
Several new automation technologies and techniques can be combined to improve operational efficiencies further. These digital technologies include:
Straight Through Processing (STP)
By digitally transforming paper documents and manual processes, insurance companies can achieve what is called Straight Through Processing or STP. STP enables high-volume financial transactions to be processed without human intervention, improving communication, cash allocation, money transfer speeds, and market rates.
Artificial Intelligence (AI)
Artificial intelligence (AI) is software that can think and learn for itself. AI dynamically analyzes data enabling RPA algorithms to more efficiently configure. Artificial intelligence (AI) software is invaluable in departments such as underwriting, customer service, and fraud detection.
Natural Language Processing (NLP)
NLP is used to understand the nuances of human language. The main objective of NLP is to read, decipher, and extrapolate the meaning from digital communications such as email. NLP is valuable for tasks such as high-volume data processing and helps to modernize the claims triage operation.
Optical Character Recognition (OCR)
OCR is a digital solution for human-error within data entry. OCR uses a range of visual, linguistic, and statistical techniques to process unstructured data. This service improvement helps to enhance customer service, business acquisition, cost reductions, and forecasting for insurers.
Intelligent Character Recognition (ICR)
ICR, or intelligent character recognition, is a form of OCR used to analyze multiple fonts and styles of handwriting. ICR technology uses AI to learn as it processes data, enabling the software to improve itself at deciphering handwriting. This technology is used in forms processing when digitizing physical documents to speed up the data processing operation.
Automated Claim Segmentation and Prioritization
Segmenting insurance claims at the point of inception can save up to 40% of the time from a claim's lifecycle. By automating the claims process, RPA software can assess complexity and urgency before recommending a course of action. Thus allowing your workforce to focus on core competencies, simplifying claims triage, improving customer service and reducing customer drop-offs.
Digital Claims Archiving
A digital claims archive files claims documents into an electronic archive. This allows for real-time file visibility, thereby reducing time spent sharing documents with decision-makers. By using a digital archive, clients can increase their STP speeds and generate audit trails, reducing the chances of insurance fraud.
Customer Experience Management (CEM)
Swiss Post Solutions' CEM helps businesses to monitor, organize, and manage their interactions with customers. Receiving this feedback enables companies to continuously improve their customer-facing processes to provide quick, efficient, and satisfactory customer service.