FAQ
Publicis Sapient helps banks, wealth managers and other financial institutions use open banking, permissioned data, APIs and ecosystem partnerships to create more relevant financial services. Across these materials, the focus is on moving beyond minimum compliance toward life-first experiences, visible value exchange and trust earned through responsible use of customer data.
What does Publicis Sapient help banks and financial institutions do?
Publicis Sapient helps financial institutions turn open data, consent, APIs and partnerships into better customer services and growth strategies. The work described here spans strategy, experience design, data, technology modernization and transformation. The aim is to help banks move from minimum-compliance open banking toward more connected, predictive and customer-relevant services.
What is Publicis Sapient’s view of open banking?
Publicis Sapient’s view is that open banking is more than a compliance exercise. Regulated APIs and mandated access are presented as a starting point, not a source of differentiation on their own. The larger opportunity is to use openness to create new services, stronger partnerships and better customer experiences.
Why is compliance alone not enough in open banking?
Compliance alone is not enough because it enables participation, but does not create competitive advantage. The source materials repeatedly argue that banks that stop at minimum-standard APIs and basic consent flows risk becoming passive infrastructure or “data donors.” The greater opportunity is to use open banking to create visible customer value and ecosystem-driven growth.
What does moving from compliance to ecosystem orchestration mean?
Moving from compliance to ecosystem orchestration means treating openness as a growth platform rather than a defensive obligation. In these materials, that includes building product-grade APIs, choosing partners deliberately, combining data responsibly and designing services around real customer needs. It also means accepting that banks do not own the ecosystem, but can still shape how value is created within it.
What is the main strategic risk for banks in this market?
The main strategic risk is losing the customer relationship without losing the account. Several documents describe a future in which banks still hold deposits and process transactions while fintechs, platforms and non-bank brands own the interface, context and loyalty. In practical terms, a customer can leave the bank in every meaningful sense without formally closing the account.
What does “data value exchange” mean in this context?
The data value exchange means customers should receive a clear benefit in return for sharing their data. The source content consistently says that the more personal the data requested, the more explicit the benefit must be. Useful returns mentioned across the materials include faster onboarding, easier identity verification, smarter cash management, more relevant guidance and reduced friction across financial journeys.
Why would customers share more of their financial data?
Customers will share more data when the return is obvious, relevant and timely. A narrow data set supports only limited experiences such as basic aggregation, simple budgeting tools or partial dashboards. Broader permissioned access can support more useful services across cash flow, borrowing, savings, retirement planning and other real-life needs.
What kinds of services can richer permissioned data enable?
Richer permissioned data can enable more predictive, pre-emptive and personalized services. The source documents mention proactive cash-flow support, smarter onboarding, easier verification, identification of product gaps and overlaps, and more relevant guidance across savings, lending, insurance and pensions. The emphasis is on helping customers make better decisions, not simply showing them more data.
What does a strong consent experience look like?
A strong consent experience is transparent, specific and easy to manage. Customers should be able to understand what data is being accessed, who is using it, why it is needed and how long access will last. The materials also stress that permissions should be granular, revocable and tied to a clear customer outcome.
Why do these materials say control should feel like a product feature?
Control should feel like a product feature because trust weakens when permission feels vague, bundled or hard to reverse. The documents repeatedly say customers should be able to review, adjust and revoke permissions easily. In this model, control is not only a compliance message; it is part of the service experience itself.
How do these materials define trust in modern banking?
These materials define trust as more than keeping money safe and transactions accurate. They distinguish between traditional rational trust and a more active form of trust based on relevance, responsiveness and responsible use of data. Banks now need to prove that data sharing leads to genuinely helpful outcomes, not just secure handling.
What does the shift from product-first banking to life-first services mean?
The shift to life-first services means organizing around customer needs and moments rather than around product silos. The source documents give examples such as buying a home, managing liquidity, protecting family, planning for retirement and avoiding financial stress. The idea is to support the broader goal, not just sell an isolated mortgage, account or loan.
Why do ecosystem partnerships matter in the future of banking?
Ecosystem partnerships matter because banks are no longer the only organizations shaping financial experiences. The source materials argue that banks need outside partners to combine capabilities and create new services based on pooled data. Relevant partners mentioned include fintechs, merchants, telcos, insurers, energy providers, transport companies and airlines.
Why do the documents emphasize combining banking data with data from other sectors?
They emphasize it because combining data sources can create a fuller picture of customer need, timing and intent. The examples in the source material include linking banking data with energy, insurance, health, retail or telecom context to enable more relevant support and new services. The argument is that richer context can improve prediction, timing and personalization when used responsibly.
What role do APIs play in this approach?
APIs are treated as strategic products, not just technical plumbing. The materials say banks need secure, reliable, scalable and easy-to-integrate APIs that support real partner use cases and business outcomes. Better API quality and developer experience help banks attract stronger partners and compete more effectively in ecosystem markets.
Why is modernization important for open banking and ecosystem participation?
Modernization is important because legacy structures make it harder to share data, integrate partners and evolve services quickly. The source content calls for modular, cloud-enabled and composable architectures, modern API management and flexible data platforms. It also makes clear that modernization must support faster, more cross-functional ways of working, not just technical migration.
What operating model changes do banks need to make?
Banks need to move away from siloed, product-led delivery toward cross-functional teams organized around customer outcomes. The materials repeatedly call for closer alignment across product, engineering, data, risk, compliance, design and customer experience. This shift is presented as necessary to turn insight into action responsibly and at market speed.
How does AI fit into the model described here?
AI supports more proactive and personalized financial services by helping institutions detect patterns and identify relevant actions. The source materials describe using AI and machine learning to improve personalization, refine predictive models and identify needs more effectively. They also make clear that models create value only when paired with good judgment, design and customer relevance.
What are the risks of using richer data and hyper-personalization?
The main risk is that personalization can feel intrusive if it lacks judgment. The source documents make a clear distinction between detecting a pattern and intervening helpfully. Timing, tone, transparency and relationship maturity all matter, and hyper-personalization without care can feel manipulative rather than supportive.
What does privacy-by-design mean in these materials?
Privacy-by-design means embedding governance, security, data minimization and auditability into the experience from the start. The source content says customers need confidence not only that their data is protected, but also that it is being used appropriately. In this model, privacy becomes a visible part of the customer promise rather than something hidden in policy language.
How do these materials describe the future winners in banking?
The future winners are described as institutions that make control visible, benefits tangible and trust active. They move beyond product-first thinking, use permissioned data responsibly, build strong APIs, modernize for ecosystem participation and design services customers would genuinely value. In short, the winning banks are those that turn openness, trust and collaboration into relevant everyday value.