This is our story of harnessing advanced analytics through Subrogation-as-a-Service for a leading global insurer. Our approach helped identify and pursue missed recovery opportunities, maximizing revenue and optimizing operational costs.
As we know…
In the fiercely competitive insurance industry, recovery is crucial for maximizing revenue streams. However, it often faces hurdles due to complexities and inefficiencies, resulting in revenue leakage. Insurers lose billions of dollars grappling with challenges such as missed recovery opportunities, cumbersome workflows, fragmented business processes and low referral rates. These obstacles not only impact the company’s bottom line but also strain operational resources and result in higher premiums for policyholders.
To combat these challenges, insurers are increasingly adopting advanced Artificial Intelligence (AI) and Machine Learning (ML) models. When combined with humans-in-the-loop, these models have the potential to revolutionize the subrogation landscape, significantly enhancing cash flow, operational efficiency and overall profitability.
The challenge for our client was…
Missed recovery opportunities in its motor and property (personal and commercial) business lines. About 15 percent of the claims were concluded without pursuing recovery opportunities, resulting in substantial revenue loss. Compounding this issue, the existing manual processes proved inefficient, yielding low referral and conversion rates.
WNS proposed a comprehensive solution aimed at…
Optimizing indemnity spend, minimizing leakage and identifying missed recovery opportunities as a part of our Subrogation-as-a-Service offering. Additionally, WNS committed to a performance-based commercial model, aligning incentives with outcomes.
Our solution was built on four pillars:
WNS’ recoveries as a service model delivered…
Tangible financial benefits and operational efficiencies, effectively addressing our client’s challenges by combining advanced analytics, streamlined workflows, expert intervention and outcome-based pricing.
Key outcomes included:
~0-0 percent
uplift in recovery conversion
~0 percent
reduction in recovery lifecycle through early detection of recoverable claims
USD 0 Million
in active recovery pursuit
0+ percent
accuracy in detecting recoverable claims
Transform your subrogation process and drive bottom-line results with WNS. Explore our AI-powered Subrogation Services today.
FAQs
1. How can AI improve recoveries and revenue realization for insurers?
AI enables insurers to analyze large volumes of claims data, identify overlooked recovery opportunities and prioritize cases with the highest recovery potential. By automating recovery identification and decision-making, insurers can maximize recoverable amounts while reducing manual effort. WNS helps insurers leverage AI-driven recovery models that improve financial outcomes, strengthen claims performance and enhance operational efficiency.
2. Why are insurance recoveries becoming a strategic focus area for claims leaders?
In an environment of rising claims costs and profitability pressures, insurers are increasingly looking beyond traditional cost-cutting measures to improve financial performance. Optimizing recoveries helps carriers recover funds that might otherwise be lost, improving loss ratios and overall claims profitability. WNS enables insurers to transform recovery operations into a strategic value-generating function through analytics, automation and intelligent operations.
3. How do AI and analytics help insurers identify hidden recovery opportunities?
AI-powered analytics can evaluate claims histories, liability indicators, payment patterns and third-party involvement to uncover recovery opportunities that may not be visible through manual reviews. This enables insurers to pursue recoveries earlier and more effectively. WNS combines insurance expertise with advanced analytics to help carriers improve recovery accuracy, increase recovery rates and maximize claims value.
4. What operational challenges can AI-powered recovery solutions address?
Traditional recovery processes often suffer from fragmented data, inconsistent case selection, limited visibility and resource-intensive manual reviews. AI-powered solutions help standardize recovery workflows, improve prioritization and accelerate decision-making across the claims lifecycle. WNS helps insurers modernize recovery operations through intelligent automation and data-driven recovery management frameworks.
5. Why should insurers partner with WNS for AI-driven recoveries transformation?
WNS combines deep insurance domain expertise with advanced AI, analytics and intelligent operations capabilities to help insurers optimize claims recoveries and improve financial performance. From recovery opportunity identification and workflow automation to performance analytics and operational transformation, WNS enables insurers to create scalable recovery ecosystems that drive revenue growth, efficiency and sustainable business value.