A presentation at AI-powered recoveries in insurance in in New York, NY, USA by Charmaine Miller
Maximizing Revenue & Efficiency: Lessons from Outcome-Based Pricing in Insurance Recoveries The world of insurance recoveries and subrogation has long been a complex and resource-intensive domain. Traditionally, insurers have grappled with the high fixed costs and uncertain returns associated with pursuing funds from at-fault third parties. The process often involves significant internal overhead or reliance on external partners paid through hourly or flat-fee arrangements, which do not always guarantee a return on investment. However, a transformative shift is underway, driven by a model that redefines success: outcome-based pricing. This approach offers powerful lessons in aligning incentives, maximizing financial returns, and driving profound operational efficiency. Shifting the Focus from Effort to Results Conventional pricing models in the recovery space primarily reward activity. Whether an external partner is paid by the hour or a flat fee per case, their compensation is tied to the effort expended, not the result achieved. This can inadvertently create a disconnect, where a partner’s financial interests are not perfectly aligned with the insurer’s goal of maximizing recovery amounts. The focus can drift toward logging hours rather than securing dollars. Outcome-based, or contingency, pricing flips this dynamic on its head. In this model, the recovery partner is compensated with a percentage of the funds they successfully recover. This simple but profound change creates a powerful alignment of interests. The partner is now a true stakeholder in the outcome, motivated to pursue every viable dollar with vigor and speed, transforming the relationship into one built on shared success. A Catalyst for Innovation and True Partnership When revenue is directly dependent on success, it creates a powerful incentive for innovation. Partners operating on a contingency basis are compelled to invest in the most effective strategies, technologies, and talent to gain a competitive edge. This model fosters an environment where cutting-edge tools are not just a luxury but a necessity for survival and growth. Consequently, these partners often become leaders in adopting advanced analytics to identify high-potential recovery opportunities and sophisticated communication platforms to streamline negotiations. This drive for superior outcomes leads to the integration of solutions like AI-powered recoveries in insurance, which can analyze vast datasets to predict success rates and automate routine tasks. This commitment to technology elevates the relationship beyond a simple vendor transaction to a strategic partnership, where the insurer gains access to specialized expertise and innovation without any upfront investment.
Streamlining Operations and Mitigating Financial Risk One of the most compelling advantages of outcome-based pricing is the immediate impact on an insurer’s operational efficiency and risk profile. By entrusting the recovery process to a specialized partner on a contingency basis, carriers can offload a significant administrative burden. Internal teams are freed from the time-consuming tasks of chasing documentation, making follow-up calls, and negotiating settlements. This allows them to concentrate on core business functions like underwriting, claims adjudication, and customer service. Furthermore, this model effectively eliminates the financial risk associated with pursuing recoveries. The insurer no longer pays for unsuccessful efforts. The cost of recovery transforms from a fixed operational expense into a variable cost that is only realized when revenue is generated, protecting the insurer’s bottom line and ensuring that resources are only ever spent on productive, revenue-generating activities.
Discover how AI-powered recovery solutions transformed claims processing, driving revenue growth and operational efficiency for a leading insurer.
for free. You
can too.