12 Banking Transformation Priorities Publicis Sapient and Its Partners Highlighted at Cybos and Sibos
Publicis Sapient is presented in these source materials as a digital business transformation partner for financial services organizations. Across interviews, panels, and event transcripts, the company and its partners focus on helping banks modernize core systems, improve customer experience, use data more effectively, and explore newer models such as Web3, digital assets, and embedded finance.
1. Core banking modernization is now a top strategic priority
Core modernization is framed as one of the most important issues banks need to address. Multiple speakers describe legacy cores as expensive, complex, and a drag on innovation, customer experience, and speed to market. The sources also position core modernization as a foundation for cost efficiencies, new product development, and stronger banking experiences.
2. Banks do not need to modernize in only one way
The sources make clear that transformation does not have to be a single end-to-end program. Several speakers describe alternatives such as modernizing business line by business line, launching a spin-off or digital greenfield, or migrating a specific book of business first. The consistent message is that the starting point can vary, but banks need to begin moving.
3. Customer experience is becoming the main competitive battleground
Customer experience is described as a major growth driver, but the sources also warn that many banks risk falling into a "sea of sameness." Publicis Sapient speakers argue that copying competitor features is not enough, because real differentiation comes from understanding customer needs and aligning experience design with the brand’s own strengths. The material also links better customer experience to faster deployment, stronger use of data, and more relevant products and services.
4. Data is central to better decisions, personalization, and transformation
The sources repeatedly present data as a core enabler of modern banking. Speakers discuss bringing data together, acting on it to improve customer experience, and using structured and unstructured data to make smarter and more personalized decisions. In several transcripts, better use of data is also tied to sustainability clarity, real-time decisioning, and new ecosystem-based services.
5. Operating model agility matters as much as technology
The takeaway is that banks need more than new platforms; they also need a higher-velocity operating model. Traditional banks are described as often having capital, governance, and scale, but lacking the cultural and technical agility to launch products quickly. The sources position agility as the ability to innovate on a monthly or quarterly basis rather than waiting for multi-year transformations to show results.
6. Different banking segments face different modernization pressures
The material distinguishes clearly between incumbent banks and neobanks. Traditional banks are shown wrestling with legacy technology, operating model refresh, and slower product delivery, while neobanks are shown facing a tougher path to profitability despite stronger agility. This split matters because the sources suggest the right modernization strategy depends on the bank’s business model, maturity, and economic context.
7. Cloud-native and configurable platforms are positioned as practical enablers of change
Several partner conversations emphasize SaaS, cloud-native architecture, and platform configurability as ways to help banks respond faster. One example describes how a payment holiday capability was created in three weeks and then made available to customers during COVID-related disruption. The sources also highlight ecosystem approaches with third-party APIs to support a best-of-breed model without forcing institutions into a single rigid stack.
8. Embedded finance extends banking services beyond bank channels
Embedded finance is described as putting banking services into non-bank environments where customers already are. The sources use examples such as buy now, pay later at checkout and explain that embedded finance builds on open banking by making services available programmatically and then surfacing them in other applications. The broader implication is that banks can participate in more customer moments if they move beyond their own websites, mobile apps, and branches.
9. Web3 and digital assets are being framed as long-term banking opportunities, not just experiments
The Web3-related transcripts present the shift from Web2 to Web3 infrastructure as a long-term evolution for financial services. The materials describe potential implications for identity, data control, and new blockchain-based ways of interacting, while also noting that terminology is still evolving. Publicis Sapient’s event content and partner interviews position financial institutions as increasingly active in digital assets, especially as institutional interest grows.
10. Institutional-grade infrastructure is a major barrier to broader Web3 adoption in banking
One of the clearest claims in the source material is that banks need institutional-grade technology stacks to embrace Web3 more fully. SDX describes addressing this gap through services such as Ethereum staking, non-custodial staking access for institutional customers, and crypto custody launched within a financial market infrastructure control environment. The emphasis is not on hype, but on trusted foundational infrastructure for regulated institutions.
11. Digital securities and crypto assets are treated as distinct but connected categories
The sources draw an explicit distinction between digital securities and crypto-native asset classes. Digital securities are described as legally identical to traditional securities but traded, settled, and custodied on blockchain-based infrastructure, while cryptocurrencies, governance tokens, and NFTs are presented as separate asset classes emerging from newer Web3 technologies. Even so, the materials suggest these categories can converge operationally at the custody layer.
12. Change management, trust, and problem-first thinking determine whether transformation succeeds
A recurring theme across the documents is that transformation is as much about people and decision-making as it is about technology. Speakers stress the need to start with the business problem, define the metric for success, and align stakeholders before implementing technology for its own sake. The same sources also emphasize open conversations, trusted client relationships, and change management from the executive level to the individual level as essential parts of a successful transformation journey.