Embedded insurance is transforming card benefits into revenue opportunities
Tom Reilly, EVP, Head of Global Consumer Solutions, and Ming Yi, Senior Director Actuarial Warranty, Embedded Services, recently worked the Open and Embedded Insurance Observatory to share their insights on card-linked insurance benefits.
The piece discusses how card benefits can return top be being genuine competitive weapons through the combination of better data, AI-driven claims automation, contextual communications, and a more sophisticated understanding of customer value.
Read the full article here from the Open and Embedded Observatory, and learn more about the key points below.
Credit card benefits were once powerful differentiators, designed to drive card usage and loyalty by offering meaningful protections like travel insurance, purchase coverage, and rental car benefits. Over time, however, as more issuers adopted similar offerings, the focus shifted from standing out to simply keeping pace. Benefits became standardized and gradually lost their impact, evolving into expected features rather than compelling reasons for customers to choose one card over another.
As competition intensified, many issuers also reduced the value of these benefits by adding exclusions, complicating claims processes, and scaling back promotion. As a result, benefits became largely invisible to cardholders—rarely understood, accessed, or used. What was once a strategic advantage turned into an overlooked component of the product, representing not just a missed opportunity for customer engagement, but a broader commercial misstep for the industry.
The challenges surrounding card benefits can largely be traced to how their value was measured. For years, financial institutions relied on claims frequency as the primary indicator of effectiveness, assuming that low claims meant low value. In reality, this interpretation overlooked the fundamental structure of these programs, where risk is spread across a large population and claims are expected to be relatively infrequent. The true value of benefits was never in how often they were used, but in how they influenced customer behavior—encouraging cardholders to spend, travel, and transact with greater confidence.
As data capabilities have advanced, some institutions have begun to shift their perspective, evaluating benefits based on the incremental revenue and engagement they drive rather than their cost. By simplifying claims, enhancing coverage, and investing in better promotion, these organizations are demonstrating that when benefits are treated as a strategic growth lever rather than an expense to minimize, they can play a meaningful role in driving both customer activity and long-term value.
Historically, card benefits were structured around broad segmentation models, with offerings tied to tiers like standard, gold, and platinum. This approach, driven in part by regulatory requirements, applied the same benefits to large groups of cardholders regardless of their individual behaviors or needs. As a result, coverage was often misaligned—providing value to some while remaining irrelevant to others.
That model is now shifting as access to richer, anonymized transactional data enables more tailored and dynamic benefit design. Banks can increasingly align coverage with individual spending patterns, offering more relevant protections and even moving toward customizable “benefit portfolios” where cardholders select what matters most to them. This evolution not only enhances engagement and loyalty, but also introduces new considerations for underwriting, as more personalized participation requires more sophisticated pricing and risk management approaches.
Even the most well-designed benefits have little impact if cardholders are unaware of them. Historically, the industry has relied on a single touchpoint—card acquisition—to communicate value, with minimal follow-up once the card is in use. This approach leaves a significant gap, as benefits are often forgotten or misunderstood at the moment they could be most relevant. The opportunity lies in shifting toward contextual, data-driven engagement, where timely notifications reinforce coverage at key moments—such as after booking travel or making a major purchase—making the value of benefits both visible and actionable.
Advances in technology make this level of engagement increasingly achievable, but adoption has lagged due to a traditional view of benefits as a cost rather than a growth driver. At the same time, gaps in customer understanding—such as eligibility requirements tied to specific transactions or the documentation needed for claims—continue to create friction. Leading programs can address these challenges by embedding benefit awareness directly into the user journey, at the moment it is needed, and simplifying access to coverage, ensuring that value is not only delivered, but clearly understood and easy to use.
As perceptions grew that insurers were capturing outsized profits from card benefit programs, many financial institutions moved to establish captive structures to bring underwriting in-house and retain more margin. While this approach can be effective for some, it is not universally advantageous. In reality, well-managed benefit programs are not inherently high-margin, as risk is spread across large populations and performance can vary significantly year to year. Captives may offer upside in strong periods, but they also expose institutions to downside risk, along with added operational and governance complexity.
For organizations without the scale or risk appetite to absorb that variability, alternative structures such as profit-sharing arrangements can offer a more balanced approach—allowing participation in strong performance while limiting exposure to adverse outcomes. Ultimately, the right model depends on the institution’s size, risk tolerance, and long-term strategy, underscoring the importance of aligning program structure with broader business objectives.
Card-linked benefit claims have long been well-suited to automation, relying on standardized documentation, clear decision frameworks, and verifiable transactional data, yet they were historically processed through manual, paper-based workflows. Advances in AI are now transforming this process, enabling claims to be verified, adjudicated, and paid in a matter of seconds by cross-referencing submitted information with transaction records, significantly reducing the need for human intervention. At the same time, AI is strengthening fraud detection by identifying unusual patterns and coordinated activity in real time—capabilities that are critical for protecting program economics and ensuring that benefits remain accessible and reliable for legitimate claimants.
Digital-first banks have accelerated change across the market, raising expectations among customers who primarily engage through mobile-first, highly personalized experiences. As card usage evolves—with digital wallets, stored payment credentials, and more fluid account structures—traditional, standardized benefit models no longer align as neatly with how customers interact with their cards. Neobanks have shown that when benefits are delivered in a tailored, transparent, and digitally integrated way, engagement increases significantly, highlighting the limitations of legacy approaches where benefits often remain static and invisible.
While this shift presents a challenge, it also creates an opportunity. Traditional issuers bring meaningful advantages, including scale, deep data insights, established underwriting relationships, and the financial strength to invest in modernization. The path forward is less about competing on a different model and more about evolving quickly enough to meet rising expectations—leveraging these strengths to deliver more dynamic, customer-centric benefit experiences.
Card-linked insurance benefits have gradually lost impact over time, becoming commoditized, underutilized, and often viewed as a cost rather than a strategic asset. Today, however, advancements in data, AI-driven automation, and more effective, contextual communication are creating a clear opportunity to reverse that trend. Financial institutions that lead in this space will shift how they define value—moving from claims-based metrics to measuring behavioral impact, from broad, standardized offerings to more personalized solutions, and from passive benefit delivery to active, timely engagement. While the technology to enable this transformation already exists, success will depend on a broader shift in mindset, recognizing benefits as a powerful tool for driving customer loyalty, engagement, and long-term value.