This is our story of enabling a leading pet insurer to accelerate claims processing and enhance customer satisfaction using an advanced data annotation solution driven by SKENSE.
As we know…
Efficient claims handling is a ubiquitous challenge in the insurance industry. Policyholders often fail to provide accurate or complete information when filing claims, leading to delays and complications in claims processing. Moreover, the surge in fraudulent claims has added another layer of difficulty. Automated data extraction assumes paramount importance, considering the pivotal role of claims processing in shaping customer experience and enterprise brand image.
The challenge for the client was…
Two-fold: Effective revenue management for claims settlement and the efficient deployment of human resources to manage escalating claims. To address this, the client sought an automated data extraction solution to mine critical information from documents and expedite claims processing. However, achieving this goal necessitated the availability of accurately labeled data encompassing vital details from a diverse array of invoice templates.
Stepping in as a co-creation partner…
Analytics Consult, the consulting arm of WNS Analytics – our AI, Analytics, Data and Research practice – devised an efficient solution for data annotation essential for training Machine Learning (ML) models.
To develop the model for each document class, we designed a classifier to segregate pages into invoice or medical history categories for further processing and data extraction. Harnessing the power of SKENSE – our proprietary platform built on AI and ML – we meticulously extracted, contextualized and annotated claims-related data. This facilitated the extraction of pivotal details like the policyholder, veterinarian, insured pet, clinical history, date, description, amount and more.
To further augment the data annotation solution, WNS Analytics engineered an automated pipeline. This led to data classification, task allocation and comprehensive log generation, ensuring seamless oversight and task management.
The automated data labeling solution enabled the pet insurer…
To unlock multiple benefits, including:
- 50 percent increase in data labeling productivity, resulting in faster claims processing
- Improvement in ML model results due to accurate labeling of training data
- Reduction in average handling time per document (both invoice and medical histories), accelerating claims processing cycles and enhancing customer satisfaction
About WNS Analytics:
WNS is a digital-led business transformation and services company with 60,513 professionals across 64 delivery centers worldwide, including facilities in 13 countries. WNS combines deep industry knowledge with technology, analytics and process expertise to co-create innovative, digitally led transformational solutions with over 600 clients across various industries. WNS Analytics is the Data, Analytics and AI practice of WNS that enables business decision intelligence for clients by combining Artificial Intelligence (AI) and Human Intelligence (HI). We cater to 250+ global companies including Fortune 100 and Fortune Global 500 organizations. WNS Analytics is a robust practice of 6,500+ Domain, Data, Analytics and AI experts with proprietary AI-led assets and innovative technologies. We enable businesses to make transformative decisions backed by data-led intelligence, ensuring differentiated outcomes. WNS Analytics is an end-to-end Consulting-to-Implementation partner delivering business goals for clients with an integrated ecosystem of co-creation labs, strategic partnerships and outcomes-based engagement models.
To know more, visit https://www.wns.com/capabilities/analytics
FAQs
1. How can data labeling improve AI-driven claims processing in insurance?
Data labeling is the foundation of effective AI-powered claims automation because it enables machine learning models to accurately interpret and extract information from complex insurance documents. High-quality labeled data improves extraction accuracy, reduces manual intervention and accelerates claims decision-making. WNS helps insurers build robust AI ecosystems by combining domain expertise, data annotation capabilities and intelligent automation to drive faster and more accurate claims outcomes.
2. Why are insurers investing in automated data extraction for claims operations?
Claims teams often process large volumes of structured and unstructured documents, creating operational bottlenecks and increasing processing costs. Automated data extraction enables insurers to capture critical claim information quickly and accurately, reducing turnaround times while improving operational efficiency. WNS helps insurers modernize claims operations through AI-enabled document processing solutions that enhance productivity, scalability and customer experience.
3. How does intelligent document processing improve claims accuracy and efficiency?
Intelligent document processing (IDP) combines AI, machine learning and automation to extract, validate and classify information from claims-related documents. This reduces manual errors, accelerates claims handling and improves consistency across workflows. WNS leverages advanced IDP solutions and insurance expertise to help carriers streamline claims operations and achieve measurable improvements in accuracy, speed and cost efficiency.
4. What operational challenges can AI-powered document extraction solve for insurers?
AI-powered extraction helps insurers overcome challenges such as manual data entry, processing delays, inconsistent data quality and rising operational costs. Automated workflows improve visibility, governance and scalability across claims operations while enabling teams to focus on higher-value activities. WNS helps insurers transform traditional claims processes into intelligent, data-driven operations that support growth and operational excellence.
5. Why should insurers partner with WNS for claims automation and AI transformation?
WNS combines deep insurance domain expertise with advanced AI, data engineering, intelligent automation and analytics capabilities to help insurers modernize claims operations. From data labeling and document extraction to end-to-end claims transformation and decision intelligence, WNS enables insurers to improve efficiency, reduce costs and build future-ready claims ecosystems that deliver superior business outcomes.