FAQ

Publicis Sapient describes how banks can stay relevant in an open, digital financial services market. Across these perspectives, the focus is on moving beyond product-first banking toward data-driven services, ecosystem partnerships, modern API and cloud foundations, and customer experiences built around real needs.

What is changing in financial services?

Financial services is shifting from product-centric banking to open, connected and experience-led models. Customer expectations are increasingly shaped by seamless, personalized and on-demand digital experiences. At the same time, fintechs, tech platforms and non-bank brands are embedding financial services into broader customer journeys.

Why are banks under pressure to change now?

Banks are under pressure because customers can increasingly access better experiences without leaving the financial system entirely. A bank may still hold deposits or process transactions while another brand owns the interface, the context and the loyalty. The sources argue that the bigger risk is not only regulatory change, but disintermediation and loss of meaningful customer engagement.

What does "open banking" mean in this context?

Open banking means customer-permissioned data and services can be shared through APIs to enable new experiences and partnerships. In the source material, open banking is not presented as an end state by itself. It is described as the foundation for broader ecosystem models, embedded finance and more customer-centered service design.

Why is minimum compliance with open banking not enough?

Minimum compliance is not enough because it enables participation, but it does not create differentiation. Several sources say banks that stop at basic API compliance risk becoming passive infrastructure or "data donors" inside someone else’s experience. The more durable advantage comes from using openness to build better services, stronger partnerships and clearer customer value.

What does it mean for a bank to become a "data donor"?

A "data donor" bank is a bank that releases customer-permissioned data but does not shape the value created around it. In that situation, the bank still provides the rails for payments, accounts or data access, while fintechs, platforms or non-bank brands capture the customer relationship, insight and loyalty. The sources present this as a strategic risk of defensive openness.

What is the alternative to defensive compliance?

The alternative is ecosystem orchestration. That means treating open banking, APIs and partnerships as a growth platform rather than a regulatory burden. In the source material, orchestration includes product-grade APIs, deliberate partner strategies, pooled data, modern architecture and services built around customer needs rather than legacy product silos.

What does "life-first" banking mean?

"Life-first" banking means designing around customer needs and moments instead of around isolated banking products. The sources contrast this with traditional product-push models focused on accounts, cards and loans. A life-first approach is described as helping customers with goals and situations such as buying a home, managing cash flow, avoiding overdrafts, planning for retirement or running a business.

How are tech companies and non-bank brands changing the competitive landscape?

Tech companies and non-bank brands are changing the market by owning more customer moments, more behavioral data and more intuitive interfaces. The source material highlights their strength in payments, APIs, conversational interfaces, data interpretation and service design. Rather than trying to become banks in the traditional sense, these players often embed financial value directly into shopping, travel, communications or other everyday experiences.

What is embedded finance, and why does it matter?

Embedded finance is the integration of payments, lending, wallets or account-like experiences directly into non-bank customer journeys. It matters because customers do not think in industry boundaries and increasingly expect financial support to appear at the point of need. The sources position embedded finance as a growth model for banks and non-bank brands alike, especially when it removes friction and solves a problem in context.

What do banks gain from ecosystem partnerships?

Banks gain reach, richer context and new business opportunities from ecosystem partnerships. The sources explain that partnerships can help banks appear in high-intent moments they do not naturally own, combine banking data with adjacent customer context and create new services or revenue models. They also argue that banks should not expect to generate every strong idea internally.

What kinds of partners are relevant in these ecosystems?

Relevant partners can include fintechs, merchants, telcos, energy providers, transport companies, insurers, travel brands, logistics platforms and other data-rich organizations. The common thread in the source material is not the category alone, but the value of the partner’s customer context, behavioral insight or distribution advantage. The best partnerships are described as those that create mutual value and better customer outcomes.

Why do the sources emphasize APIs so strongly?

The sources emphasize APIs because APIs are the technical and commercial foundation for open ecosystems. They are not described as plumbing alone, but as products that should be secure, reliable, discoverable, scalable and easy to integrate. In this view, API quality affects partner attractiveness, developer experience, speed of experimentation and the bank’s ability to create differentiated services.

What does it mean to treat APIs as products, not plumbing?

Treating APIs as products means designing them around clear users, use cases and business outcomes. The source material contrasts generic API access with targeted API products for onboarding, identity, payments, lending, cash management and account information. Productized APIs are framed as a source of strategic value because they support real ecosystem participation rather than basic connectivity alone.

What role does customer consent play in this model?

Customer consent is a strategic capability, not just a legal formality. The sources say consent should feel like a product feature that gives customers visible control over what data is shared, with whom, for what purpose and for how long. They also stress that customers are more likely to share data when the value exchange is clear, immediate and meaningful.

Why is trust such a central theme across the documents?

Trust is central because richer data sharing and more proactive services depend on customer permission. The source material argues that trust is no longer only about safe transactions and reliable processing. In open and embedded models, trust also depends on transparency, responsible data use, timing, empathy and whether the service feels genuinely helpful rather than intrusive.

What kind of customer value are banks expected to create with better data?

Banks are expected to create more predictive, personalized and relevant services with better data. Examples in the source material include smoother onboarding, clearer visibility across accounts, better cash-flow support, more timely guidance, proactive interventions and services that help customers avoid unnecessary fees or financial stress. The recurring idea is that the value must be visible enough that customers would miss the service if it disappeared.

How should banks think about modernization and cloud in this context?

Banks should view modernization and cloud as enablers of new capabilities, not just as infrastructure migration. The cloud-related sources warn that lift-and-shift approaches often recreate old bottlenecks and miss the real value of modularity, automation and speed. Modernization is presented as most useful when it supports composable architecture, reusable capabilities, cross-functional delivery and faster change.

Why is culture and operating model change part of the answer?

Culture and operating model change matter because technology alone does not create agility or relevance. The sources repeatedly argue that rigid hierarchies, siloed teams and sequential delivery make it hard for banks to respond to customer expectations or ecosystem opportunities. They point instead to empowered cross-functional teams, stronger collaboration across product and risk functions, and broader talent that includes behavioral and design insight as well as technical skill.

What should smaller or community banks do differently?

Smaller and community banks should compete through focus, not feature parity. The sources say these institutions do not need the scale of national banks to stay competitive if they combine local trust, relationship depth and market knowledge with the right external capabilities. API-first integration, selective modernization and practical ecosystem partnerships are presented as ways to deliver experiences that feel both digital and personal.

What should banking leaders prioritize first?

Banking leaders should start with a clear ecosystem strategy tied to customer needs and growth priorities. Across the documents, the recurring priorities are defining where the bank should play, building product-grade APIs, modernizing for modularity and speed, improving consent and trust experiences, and choosing partners that add real context or capability. The emphasis is on deliberate, high-value moves rather than isolated compliance projects or generic digital upgrades.