Beyond Old vs. New: How Banks, Health Systems, and Mobility Providers Are Internalizing the Startup Playbook Under Regulation

Abstract

Across banking, healthcare, and mobility, the once-clear divide between traditional firms and startups is eroding. Incumbents are adopting startup-style business models, modular technology, and digitally native user experiences, while startups are learning to operate under stringent regulatory, compliance, and integration constraints. Open banking rules have enabled fintechs to access data via APIs, forcing banks to modernize and collaborate, while healthtech and mobility innovators contend with complex health privacy laws and transport regulations that shape product design and go-to-market choices [1][2][3].

This white paper develops a three-part comparison framework—business model, technology architecture, and user experience—and applies it to banking/fintech, healthcare/healthtech, and mobility/transport/logistics. Drawing on recent research and sector examples, it shows that the more meaningful distinction today is not between “traditional” and “startup,” but between organizations that can internalize and operationalize the startup playbook under constraints, and those that cannot. We analyze convergence patterns, document hybrid organizational forms, and outline actionable implications for both incumbents and startups. The conclusion looks ahead to how AI, open finance, data portability in healthcare, and evolving mobility regulation may accelerate or complicate this convergence.

Background

For much of the past decade, public discourse has framed innovation as a battle between traditional industries and disruptive startups. Traditional firms were characterized as slow, asset-heavy, and encumbered by legacy IT and regulation. Startups, in contrast, were assumed to be agile, digital-first, and user-centric. This narrative was particularly appealing in consumer-facing markets, where mobile apps and sleek interfaces sharply contrasted with paper forms and branch lines.

In reality, heavily regulated sectors have never allowed for such a clean division. Banking is governed by capital requirements, anti–money laundering (AML) rules, and consumer protection laws. Healthcare is shaped by complex reimbursement regimes, strict privacy requirements, and safety regulation. Mobility and logistics are constrained by licensing, safety, labor, and environmental rules. These constraints significantly narrow the degrees of freedom available to any entrant—whether incumbent or startup—and force real trade-offs between speed, compliance, and scalability.

Over the past decade, regulation itself has also become a driver of digital transformation. Open banking regimes have mandated that banks expose customer data via secure APIs to authorized third parties, enabling new business models and compelling incumbents to modernize their technology stacks [1]. In healthcare, the adoption of data standards such as HL7/FHIR has gradually increased interoperability between legacy electronic health record (EHR) systems and newer healthtech platforms [2]. Mobility regulators in several regions have created “regulatory sandboxes” that allow startups to test new offerings, such as novel ride-hailing or autonomous delivery, under supervised conditions [3].

These dynamics have reshaped the innovation landscape. In banking, digital-first fintechs such as Nubank, founded in 2013 in Brazil, have grown from niche offerings to full-service platforms with 75 million customers by the end of 2022, leveraging mobile-only onboarding, low fees, and rapid product iteration [1]. Their success has forced incumbents to adopt mobile-first products, embedded finance partnerships, and Banking-as-a-Service (BaaS) models. In healthcare, the rapid growth of telehealth—combined with consumer satisfaction levels where 60% of respondents in a 2023 survey said they were more satisfied with their most recent telehealth visit than with an in-person one—has pushed hospitals and insurers to overhaul digital front doors and remote care pathways [4].

At the same time, startups have discovered that compliance and integration are not optional add-ons but central design constraints. One study found that approximately 47% of technology startups changed their business models due to regulatory impacts, and about 39% altered core products [5]. In regulated sectors, many promising ventures have failed not because their user experience was weak, but because they underestimated unit economics, integration complexity, or risk obligations—areas where incumbents have built deep expertise.

Against this backdrop, the more informative lens is no longer “traditional vs. startup” but a capability spectrum ranging from rigid, process-bound organizations to fluid, startup-like ones that still manage risk and compliance effectively. The following sections develop a comparative framework and apply it to banking, healthcare, and mobility to show how this convergence is unfolding in practice.

Methods

This paper synthesizes recent empirical research, industry reports, and illustrative case examples to construct a cross-sector view of convergence between traditional firms and startups under regulation. The research context is grounded in documented trends and statistics from banking, healthcare, and mobility.

First, we drew on sector-specific analyses of open banking, digital health, and mobility platforms to identify recurring patterns in business model evolution, technology architecture, and user experience. Examples include global fintech reports that document the scale and growth trajectories of players like Nubank, as well as research on regulatory impacts on technology startups and analyses of consumer behavior in telehealth and digital financial services [1][4][5]. These sources provide quantitative benchmarks—such as customer counts, satisfaction levels, and adoption rates—that anchor our qualitative analysis.

Second, we incorporated focused case material on collaborations between incumbents and startups. This includes bank–fintech partnerships mediated by accelerators, RegTech collaborations like ComplyAdvantage’s work with HSBC, and cross-industry partnerships such as pharmaceutical alliances and energy–real-estate ventures that illuminate how incumbents and startups share risk, technology, and market access [6][7][8][9]. While some examples are drawn directly from these sources, others are anonymized composites reflecting common patterns in the sectors examined.

Third, we used regulatory analyses addressing open banking regimes, healthcare compliance guidance, and mobility sandboxes to understand how rule changes shape firm behavior [1][2][3]. A study on how regulations prompt startups to pivot business models and product designs provides an empirical basis for assessing how deeply regulation penetrates strategic choices [5].

The synthesis process applied a three-dimensional framework—business model, technology capabilities, and user experience—consistently across sectors. Within each dimension, we compared incumbents and startups, identified convergence points, and analyzed where differences persist. We then generalized cross-sector patterns and developed a capability spectrum to replace the simplifying dichotomy of traditional versus startup.

Key Findings

A Reusable Three-Dimension Framework

Across banking, healthcare, and mobility, three dimensions consistently explain how organizations evolve under regulatory constraints.

The first is the business model: how an organization prices, captures value, and structures partnerships. In regulated sectors, direct price competition is often constrained, so innovation tends to appear in bundling, subscription models, platform fees, and embedded services. For example, digital subscription models for chronic disease management in healthcare or API-based revenue for Banking-as-a-Service extend beyond traditional fee-for-service and branch-based products [1][2].

The second dimension is technology architecture and capabilities, encompassing the degree of modularity, cloud adoption, API connectivity, data infrastructure, and AI/analytics use. Open banking API mandates in finance and interoperability standards like HL7/FHIR in healthcare have turned technology architecture from an internal concern into a regulatory and competitive one [1][2]. Organizations that can abstract away legacy cores behind API layers and integrate external services move faster while still meeting compliance requirements.

The third is user experience (UX) and customer journey. In all three sectors, consumers now benchmark experiences against the best apps they use, not against sector averages. Mobile-first onboarding in banking, telehealth appointment flows in healthcare, and real-time delivery tracking in logistics exemplify how expectations have shifted. A 2023 survey found 60% of consumers more satisfied with their latest telehealth visit than an in-person one, underscoring how digital UX is now central to perceived quality in regulated services [4].

The table below summarizes how these dimensions apply across the three focal sectors.

Banking & Fintech: Open Banking as a Convergence Field

Business Models: From Branch-Centric to Embedded and API-Led

Traditional banks historically relied on branch networks, interest spreads, and fee-based products such as overdrafts and card fees. Fintech entrants, by contrast, have experimented with freemium models, subscription-based accounts, and BaaS, often delivered entirely via mobile. Nubank’s trajectory is emblematic: founded in 2013 in Brazil as a no-fee credit card provider, it expanded into mobile banking, personal loans, and insurance, reaching 75 million customers by 2022 [1]. Rather than charging high fees, it monetizes through interchange, credit spreads, and cross-selling, wrapped in a low-friction user experience.

Incumbent banks have responded by selectively adopting startup-originated models. Many now offer low- or no-fee digital accounts with subscription add-ons such as premium support or enhanced rewards. Several large banks operate BaaS units that expose their regulated balance sheet via APIs to fintechs and non-financial brands. However, full adoption remains uneven: while top-tier institutions are building platform-style businesses, mid-tier and regional banks often remain dependent on traditional spreads and branch-based cross-selling. Regulatory capital requirements and legacy profitability models can limit how aggressively incumbents pivot.

Technology: APIs, Modularization, and AI as Table Stakes

On the technology front, open banking regulations have been a forcing function. Banks that once guarded data now must provide secure API access to authorized third parties, enabling account aggregation, payment initiation, and personalized financial management tools [1]. This has led many incumbents to invest in API gateways, developer portals, and middleware that shields legacy cores while enabling modern services. Modularization efforts—such as decomposing monolithic cores into microservices—are underway but often incomplete, with critical functions still residing on mainframes.

Fintech startups, built on cloud-native stacks from inception, have leveraged this asymmetry to integrate rapidly with multiple partners. They also harness AI and advanced analytics for real-time credit scoring and personalization. RegTech collaborations illustrate how technology can both enhance compliance and innovation: for example, HSBC’s partnership with ComplyAdvantage introduced machine learning–driven AML screening that cut false positives by over 30%, improving both risk control and operational efficiency [9]. Such examples show incumbents importing startup-like capabilities through targeted partnerships rather than wholesale rebuilds.

UX: Narrowing Gaps, Persistent Niches

User experience has been the most visible battleground. Where account opening once required branch visits and paper forms, many incumbent banks now offer mobile-first onboarding with digital identity verification and near-instant approvals. This is partly competitive response and partly consumer-driven, as digital wallets and mobile payments soared to over 2.8 billion users globally in 2024, reflecting roughly 60% growth and driving expectations for seamless financial interactions [10].

Yet fintechs retain an edge in specific niches. Neobanks focusing on SMEs provide tailored cash-flow tools and integrations with accounting platforms that many incumbents still lack. Cross-border transfer specialists deliver lower fees and faster settlement than traditional correspondent banking networks. Even where incumbents match front-end UX, underlying processes—such as dispute resolution or complex lending—often remain slower and less transparent. Failures also occur: some banks have launched “digital-only” sub-brands with sleek apps but without re-engineering back-office processes, leading to outages, slow support, and regulatory scrutiny when promised real-time services proved unreliable.

Healthcare & Healthtech: UX vs. Compliance Tension

Business Models: From Fee-for-Service to Subscriptions and Value-Based Care

Traditional healthcare providers—hospitals, physician groups, insurers—have long operated under fee-for-service or tightly regulated reimbursement schedules. Healthtech startups challenge this with value-based and subscription models aimed at chronic disease management, remote monitoring, and employer-sponsored digital health platforms. Subscription-based diabetes or hypertension programs, for instance, bundle connected devices, coaching, and virtual visits to reduce hospitalizations and improve adherence.

These models are gaining traction as payers and regulators push to align incentives with outcomes. Telemedicine marketplaces that charge per-consultation plus platform fees create new revenue streams while improving access. However, integrating these models into existing reimbursement frameworks is complex. Traditional insurers must adapt claims systems and contracting practices, and startups often discover that their attractive per-member-per-month pricing must be negotiated within multi-year payer contracts, dampening their ability to iterate quickly.

Technology: Interoperability and AI Under Regulatory Scrutiny

On the technology dimension, healthcare has moved from monolithic, proprietary EHR systems toward more interoperable platforms. Standards like HL7/FHIR enable startups to integrate with hospital records, supporting telehealth, remote monitoring, and AI diagnostics [2]. Telehealth platforms now often embed patient intake, consent, video consults, e-prescribing, and follow-up workflows in a single digital journey. AI-powered tools assist in triage and diagnostics, but face tight scrutiny from regulators such as the FDA and FTC, prompting a rise in specialized healthcare compliance consulting [2].

Integration remains a major bottleneck. Legacy EHRs are complex, highly customized, and deeply embedded in clinical workflows. Even with standards, connecting a new digital therapeutics app to a hospital’s systems can take months. These delays have tangible startup impacts: many healthtech companies find that integration and certification consume far more time and capital than initially planned, forcing product and go-to-market pivots. Regulatory guidance on AI and data use further constrains design choices, but also creates an advantage for startups that build “compliance-by-design” architectures and secure data pipelines from the outset.

UX: Digital Front Doors vs. Privacy and Safety Constraints

Healthcare’s UX transformation is stark. Historically, patients navigated phone-based appointment booking, paper intake forms, and fragmented communication across providers and insurers. Digital health startups offer app-based booking, teleconsultations, asynchronous messaging, and medication adherence reminders. A 2023 survey reported that 60% of consumers were more satisfied with their latest telehealth visit than an in-person one, suggesting that thoughtfully designed digital pathways can exceed traditional experiences even in high-stakes care [4].

Large providers are working to close this gap. Many have deployed patient portals and mobile apps that integrate appointment management, messaging, lab results, and billing. Yet they face tension between UX ambitions and compliance obligations. Features common in consumer apps—persistent background tracking, granular personalization—may conflict with privacy expectations or regulatory guidance. Some telehealth startups have encountered enforcement actions or public backlash when data sharing practices were perceived as opaque or misaligned with privacy norms, demonstrating how startup-like UX can “run into a wall” when it overlooks the sensitivity of health data [2]. Consequently, successful healthtech offerings emphasize transparent consent flows, clear data use explanations, and robust security as core parts of the user journey, not afterthoughts.

Mobility, Transport & Logistics: From Asset-Heavy to Platform-Mediated

Business Models: Marketplaces, MaaS, and Subscriptions

Mobility and logistics have long been dominated by asset-heavy players: public transport operators, taxi fleets, and freight carriers that own and operate vehicles, depots, and infrastructure. Startups have introduced asset-light marketplace models connecting drivers and riders, shippers and carriers, or merchants and couriers. These platforms monetize via commissions, dynamic pricing spreads, and subscription-based offerings such as monthly mobility passes.

Mobility-as-a-Service (MaaS) bundles multimodal transport—public transit, ride-hailing, micromobility—into integrated subscriptions, shifting revenue models from single-trip fares to recurring payments. Traditional players are experimenting with similar constructs, sometimes in partnership with startups. Regulatory sandboxes in some jurisdictions allow these models to be piloted under supervision, balancing innovation with safety and fairness concerns [3]. However, regulations around labor classification, safety standards, and local competition rules remain powerful forces shaping viable models. Asset-heavy incumbents also explore hybrid forms, such as partnering with platform operators to maximize utilization of their fleets during off-peak periods.

Technology: From Legacy Dispatch to Real-Time, API-Connected Networks

Technology capabilities in mobility now center on real-time data and integration. Startups pioneered app-based dispatch, routing optimization, IoT-based telematics, and precise ETAs. Logistics platforms use IoT sensors and analytics for load tracking, temperature monitoring, and route optimization to reduce fuel use and delays. Traditional logistics companies increasingly deploy similar systems, either through internal builds or acquisitions of digital freight forwarders.

Public transport agencies and taxi companies are also upgrading legacy dispatch and ticketing systems. Many now provide APIs that third-party journey planning apps consume, enabling integrated trip planning and payments. In some regions, transport authorities collaborate with ride-hailing firms to provide first- and last-mile services that feed into mass transit, using data-sharing agreements crafted within regulatory sandboxes [3]. Still, deeply embedded legacy systems and procurement cycles can slow adoption. Incumbents that succeed typically do so by creating dedicated digital units or joint ventures with startups, allowing for more agile build–measure–learn cycles within public or corporate governance constraints.

UX: From Static Timetables to Real-Time, Self-Service Journeys

User experience in mobility has shifted from static timetables and phone-based dispatch to real-time, self-service journeys. Ride-hailing apps set expectations for instant booking, driver tracking, cashless payments, and rating systems. Last-mile delivery platforms have made real-time package tracking and digital proof of delivery standard. These patterns spill over into B2B logistics, where shippers expect customer-like dashboards and proactive alerts.

Incumbents have responded with native apps for public transit, digital ticketing, and multimodal journey planners. However, startups still define the standard in areas such as real-time ETAs and UX coherence across modes. The adoption of digital wallets and mobile payments—used by over 2.8 billion people globally in 2024 with roughly 60% growth—has accelerated expectations for seamless, in-app mobility payments [10]. The main constraint is less regulatory than infrastructural: upgrading fleets with hardware for real-time data, retrofitting legacy assets, and reskilling frontline staff. Where these investments are made, the UX gap can narrow quickly; where they are deferred, startups continue to capture customer mindshare.

Comparative Analysis

Business Model Convergence and Constraints

Across sectors, certain startup-originated business models have proven more adoptable than others. Subscription-based offerings and platform fees translate relatively well into regulated contexts. Banks can launch subscription-based premium accounts with bundled services, health systems can offer virtual care packages, and mobility providers can sell multi-modal passes. These models work because they can be mapped onto existing regulatory and billing frameworks with manageable modifications.

In contrast, models that depend on aggressive regulatory arbitrage or ultra-thin margins are harder to sustain. Some early fintechs attempted to monetize solely via interchange without building lending or cross-sell capabilities, only to confront capital and compliance costs that made their economics unattractive. Similarly, healthtech ventures promising “Uber for doctors” models sometimes underplayed licensing, malpractice, and reimbursement complexities. A study indicating that 47% of technology startups changed their business models due to regulation, and 39% changed products, underscores how pervasive regulatory feedback is in reshaping business model innovation [5].

Technology Architecture as a Minimum Standard

On technology, one pattern is clear: once startups demonstrate what is possible, certain capabilities become non-negotiable for incumbents. In banking, secure APIs, modularization, and analytics are no longer differentiators but hygiene factors, reinforced by open banking mandates [1]. In healthcare, interoperability and secure data exchange are increasingly mandated via standards like HL7/FHIR and reinforced by privacy and security guidance [2]. In mobility, real-time tracking and optimization are essential for efficiency and customer satisfaction.

Yet the paths to these capabilities differ. Startups, unburdened by legacy systems, typically adopt cloud-native, microservices-based architectures from day one. Incumbents must instead layer modern capabilities on top of entrenched cores. This leads to hybrid architectures where APIs serve as bridges between old and new. Collaborations—such as Nordea Bank’s partnerships with fintech startups mediated by accelerators, or bank–RegTech collaborations—illustrate how incumbents import technology capabilities via ecosystem participation rather than internal builds alone [6][9]. In sectors where regulatory sandboxes exist, like mobility, co-designing solutions with regulators becomes an additional capability differentiator [3].

UX Expectations and Cross-Sector Spillovers

User experience is the most fluid dimension, with expectations readily crossing sector boundaries. Consumers accustomed to instant, mobile-first banking now expect similar convenience in healthcare and logistics. Telehealth’s strong satisfaction scores—60% of consumers preferring their latest telehealth over in-person care—reflect not only healthcare-specific improvements but also the normalization of app-based interactions across daily life [4]. Likewise, real-time tracking in food delivery and ride-hailing has led customers to expect similar visibility for medical test results, parcel deliveries, and even insurance claim status.

However, UX convergence is moderated by sector-specific constraints. In healthcare, privacy and clinical safety considerations limit the extent of always-on tracking or hyper-personalized nudging. In banking, security requirements and fraud risks justify friction at key steps, such as step-up authentication or transaction verification. In mobility, safety and liability concerns limit how aggressively automated decision-making can be deployed. Organizations that navigate these constraints effectively tend to integrate trust-building elements—clear explanations, transparent consent, robust support—into UX patterns borrowed from consumer software. Those that transplant startup-style UX without adapting to sector norms often face regulatory pushback or user mistrust.

The table below summarizes illustrative adoption levels of selected startup patterns by incumbents across sectors.

Case Studies

Case 1: A Universal Bank’s BaaS Pivot

A large European universal bank, facing stagnant growth and intense fintech competition, launched a Banking-as-a-Service unit in 2019. Rather than attempting a full core replacement, it built an API layer around selected products—payments, deposit accounts, and card issuing—exposed through a developer portal. Fintechs and non-bank brands could embed these services into their applications, while the bank remained the regulated entity holding balances and managing risk.

Over three years, the BaaS unit signed dozens of partners, generating fee income and deposit inflows. Technologically, the bank adopted a modular architecture for the BaaS stack, hosted separately from its main core but integrated via secure APIs. This allowed startup-like iteration speeds while preserving regulatory oversight and risk controls from the parent organization. However, the bank also encountered challenges typical of startups: onboarding partners strained compliance teams, and some early partnerships were unwound when unit economics proved weaker than anticipated. The case illustrates a successful internalization of the startup playbook—platform model, ecosystem thinking, API-first—within incumbent constraints, but also underscores that BaaS profitability requires disciplined partner selection and cost control.

Case 2: A Health System’s Telehealth Integration Journey

A regional health system sought to respond to rising patient demand for virtual care, accelerated by the COVID-19 pandemic and growing comfort with digital interactions. Rather than adopting a standalone telehealth app, it chose a healthtech startup whose platform supported video visits, asynchronous messaging, and remote monitoring. Integration with the existing EHR using FHIR APIs was a core requirement to ensure clinicians had full context and that documentation flowed into official records [2].

The project delivered a significantly improved patient UX: app-based booking, reminders, virtual waiting rooms, and post-visit summaries. Patient satisfaction scores for virtual visits exceeded those of in-person visits, aligning with broader consumer trends where 60% report higher satisfaction with telehealth [4]. Yet the journey surfaced compliance and governance issues. The startup had to adjust its data architecture to meet the health system’s privacy and security policies, and certain consumer-style features—such as integrating with third-party wellness apps—were delayed pending legal review. This case shows how a traditional provider can close UX gaps through startup collaboration, but only when both sides treat compliance not as a late-stage hurdle but as a co-designed constraint.

Case 3: Public Transit–Ride-Hailing Collaboration

A metropolitan transit authority faced declining ridership and last-mile accessibility issues. To address gaps, it entered a partnership with a ride-hailing startup under a regulatory sandbox arrangement [3]. The program subsidized rides to and from transit hubs in underserved areas, with vehicles required to meet safety and accessibility standards. The transit authority integrated the ride-hailing option into its journey planning app, while the startup exposed APIs for fare integration.

From a business model perspective, the arrangement blended public subsidies with marketplace economics; the startup received per-trip payments, while riders paid a discounted fare. Technology-wise, both parties developed APIs and data-sharing agreements to track utilization and performance. The UX for riders was largely seamless: a single app provided route suggestions, ticketing, and last-mile booking. The pilot’s success led to extensions, but not without trade-offs: labor groups raised concerns about competition with traditional taxis, and regulators adjusted terms to ensure transparency and fair treatment. This case highlights how asset-heavy incumbents and asset-light startups can co-create platform-mediated services under supervisory oversight.

Limitations

This analysis is constrained by several limitations. First, it relies on secondary research and illustrative case studies rather than primary fieldwork. While the cited statistics—such as Nubank’s 75 million customers by 2022, telehealth satisfaction levels, and the percentage of startups altering business models due to regulation—provide empirical anchors, they do not capture the full diversity of global markets [1][4][5]. Regulatory regimes, consumer behaviors, and market structures vary significantly by country; examples drawn primarily from large or pioneering markets may not generalize to smaller or less digitized contexts.

Second, the use of anonymized or composite cases, while helpful to illustrate patterns, may obscure idiosyncratic factors that contribute to success or failure. Organizational culture, leadership, and local political dynamics can be as decisive as business model or technology choices, yet they are difficult to distill from published sources. Additionally, survivorship bias is likely: high-profile successes and notable partnerships (such as bank–RegTech collaborations or pharmaceutical alliances) are better documented than quiet failures or abandoned projects [6][8][9].

Third, the three-dimension framework—business model, technology architecture, UX—simplifies complex realities. It underplays other critical dimensions such as talent models, governance structures, and capital markets pressures, which also shape how both incumbents and startups navigate regulation. Future research could expand the framework to incorporate these factors, as well as more granular segmentation within sectors (for example, differentiating between retail and wholesale banking, acute and primary care, urban and rural mobility).

Finally, the pace of change in areas like AI, data portability, and real-time payments is rapid. Insights grounded in 2022–2024 data may be overtaken quickly as new regulations (e.g., expanded open finance regimes or updated health privacy rules) come into force. The paper should therefore be read as a snapshot of trajectory and mechanisms, not a definitive forecast.

Implications

For traditional players, the core implication is that adopting the startup playbook requires deliberate staging and alignment with regulatory and organizational realities. On the business model side, incumbents should prioritize innovations that can be reconciled with existing regulatory capital, reimbursement, or funding structures, such as subscription add-ons, platform fees for ecosystem partners, or shared-savings contracts in healthcare. Technology investments should focus on building API layers and modular components around the most changeable parts of the product portfolio, rather than attempting big-bang core replacements. Partnering with startups—through accelerators, joint ventures, or vendor relationships—can accelerate capability acquisition, as demonstrated by Nordea’s fintech collaborations and bank–RegTech partnerships like ComplyAdvantage and HSBC [6][9].

User experience improvements are often the fastest wins but must incorporate trust and transparency by design. In banking and healthcare, this means explicitly communicating data use, providing robust support channels, and incorporating friction at high-risk points such as large transfers or sensitive data access. In mobility, incumbents can rapidly improve UX by adding real-time tracking and digital payments, leveraging consumer familiarity with mobile wallets, which reached 2.8 billion users in 2024 [10]. However, sustained impact requires aligning front-end UX with back-end process changes and workforce reskilling.

For startups, the lesson is that compliance, integration, and unit economics are not “post-scale” problems but central design parameters from day one. Regulatory changes can force 47% of technology startups to adjust business models and 39% to revise products [5]; building adaptability and regulatory intelligence into strategy is therefore critical. Compliance-by-design architectures, strong security practices, and early engagement with regulators and incumbent partners can become competitive advantages. In sectors like healthcare and banking, where trust is paramount, UX must signal reliability and compliance as much as speed and convenience.

Partnership strategies are also key. Startups that position themselves as enablers—RegTech for banks, integration-friendly telehealth for health systems, or API-rich logistics platforms for carriers—can tap into incumbents’ scale while mitigating customer acquisition costs. Clear value-sharing models and realistic integration timelines are essential. As startups scale, they need to adopt some incumbent disciplines: formal risk functions, more structured product governance, and greater predictability in release cycles.

Conclusion

The evolution of banking, healthcare, and mobility demonstrates that the traditional dichotomy of “incumbent versus startup” obscures more than it reveals. In all three sectors, we see incumbents adopting startup-originated business models—subscriptions, platforms, embedded services—while startups internalize incumbent disciplines around compliance, risk, and integration. Open banking APIs, interoperable health data standards, and mobility sandboxes are transforming regulation from a static constraint into an active shaping force for innovation [1][2][3]. At the same time, consumer expectations—shaped by best-in-class digital experiences across industries—are pushing every provider toward mobile-first, real-time, personalized interactions.

The more accurate lens is a capability spectrum, ranging from rigid organizations anchored in legacy processes to fluid, startup-like organizations that can innovate within regulatory and operational constraints. Some banks, health systems, and logistics providers now sit closer to the “startup-like” end than many late-stage startups that have accumulated technical and organizational debt. Success correlates less with origin story and more with the ability to blend agile experimentation, modular technology, and superior UX with robust risk management and compliance.

Looking ahead, advances in AI, broader open finance regimes, data portability initiatives in healthcare, and evolving mobility regulations will further test organizations’ adaptive capacity. AI promises more personalized services and operational efficiencies, but also raises new regulatory and ethical questions, particularly in health diagnostics and credit decisioning. Expanded data portability could shift power toward consumers and interoperable platforms, intensifying competition. Mobility regulation around autonomous vehicles and sustainable transport will create new sandboxes and new red lines.

Organizations that thrive will be those that treat regulation as a design parameter, not an excuse for inertia; that invest in modular technology and compliance-ready data architectures; and that build user experiences combining convenience with trust. In this landscape, the boundary between “traditional” and “startup” will matter less than whether an organization can continually internalize and operationalize the startup playbook in a complex, regulated reality.

References

[1] BCG & QED, “Global Fintech 2023: Reimagining the Future of Finance,” May 2023. https://web-assets.bcg.com/69/51/f9ce8b47419fb0bb9aeb50a77ee6/bcg-qed-global-fintech-report-2023-reimagining-the-future-of-finance-may-2023.pdf

[2] Wipfli, “7 Regulatory Changes Reshaping Technology,” 2023. https://www.wipfli.com/insights/articles/te-7-regulatory-changes-reshaping-technology

[3] International Journal of Progressive Research in Engineering Management and Science (IJPREMS), “A Study on Regulatory Sandboxes for Innovative Technologies,” April 2024. https://www.ijprems.com/uploadedfiles/paper/issue_4_april_2024/33648/final/fin_ijprems1714462863.pdf

[4] McKinsey & Company, “Consumers Rule: Driving Healthcare Growth with a Consumer-Led Strategy,” 2023. https://www.mckinsey.com/industries/healthcare/our-insights/consumers-rule-driving-healthcare-growth-with-a-consumer-led-strategy

[5] Liya Palagashvili et al., “Exploring How Regulations Shape Technology Startups,” Mercatus Center, 2020. https://www.mercatus.org/system/files/palagashvili_-_mercatus_research_-_exploring_how_regulations_shape_technology_startups_-_v1.pdf

[6] Minna Paavilainen-Mäntymäki et al., “Promoting Corporate Innovation through Collaboration with Startups: The Role of Strategic Fit in Bank-Fintech Collaboration,” 2022. https://www.sciencedirect.com/science/article/abs/pii/S0148296322004829

[7] IMD, “Chugai Pharmaceutical and Roche: Independence and Continuity,” 2024. https://www.imd.org/research-knowledge/strategy/case-studies/kws-b-in-full-bloom-independence-and-continuity/

[8] McKinsey & Company, “Unconventional Partnerships: The Real-Estate Developer’s Innovation Edge,” 2022. https://www.mckinsey.com/industries/real-estate/our-insights/unconventional-partnerships-the-real-estate-developers-innovation-edge

[9] Digital Defynd, “Partnership between Fintech Startups and Traditional Institutions,” 2023. https://digitaldefynd.com/IQ/partnership-between-fintech-startups-traditional-institutions/

[10] Moldstud, “Financial Services Revolution: How Mobile Innovation Is Bridging Customer Expectations,” 2024. https://moldstud.com/articles/p-financial-services-revolution-how-mobile-innovation-is-bridging-customer-expectations