How AI and Modernization Turn Evolve, Jump and Attack into Action
For financial services firms, transformation is no longer a question of ambition. It is a question of execution. Many institutions understand the value of evolving legacy businesses, launching new platforms or creating entirely new digital propositions. The harder challenge is doing any of that at the speed the market now demands. Customer expectations are rising, digital-native competitors are gaining ground, regulatory pressure remains intense and AI is reshaping what efficient, responsive organizations can look like in practice.
That is why Evolve, Jump and Attack should not be seen as abstract transformation models. They become achievable when the right enablers are in place: modernization platforms that reduce technical debt and accelerate migration, data foundations that make insight actionable in real time, intelligent support that improves operational resilience, and agentic workflows that compress build cycles and unlock new forms of personalization and automation.
Publicis Sapient helps financial institutions connect these enablers to business outcomes. By bringing together strategy, product, experience, engineering and data & AI, we help organizations move from product-centric structures and siloed systems toward customer-centric, continuously improving businesses built for change.
Evolve: Modernize the Core Without Losing Momentum
Evolve is the incremental transformation of a legacy organization toward a more effective future model. It addresses customer journeys, commercial offerings, operations and technology across the enterprise. For many firms, this is the most immediate path because it improves the business they already have while building the capabilities required for what comes next.
But incremental transformation only works if it can move fast enough. Aging core systems, fragmented data and manual operating processes often slow delivery, increase cost and constrain innovation. That is where modernization becomes a practical accelerator rather than a back-office exercise.
AI-assisted software delivery can dramatically reduce the time and cost of legacy migration. In one multinational banking example, Publicis Sapient’s Slingshot platform accelerated modernization by migrating legacy code to a private cloud 50% faster and at 30% of the cost of traditional approaches. That shift did more than update infrastructure. It freed budget for innovation and enabled new applications to integrate with existing systems more effectively.
For Evolve programs, this matters because modernization is not just about replacing old technology. It is about creating an architecture for continuous evolution. Financial institutions need to build the capabilities that truly differentiate them, rent the rest and create technology foundations that can adapt over time. Cloud-native platforms, modular architectures and modern engineering practices make it possible to improve journeys, launch features more rapidly and respond to regulatory or market shifts with far less friction.
Data is equally important. Institutions cannot transform experiences or operations if customer, product and servicing data remain trapped in silos. Modern data platforms enable real-time decision-making, better risk visibility and more relevant engagement across channels. They also provide the groundwork for compliant AI adoption, helping firms move from fragmented reporting and reactive service toward proactive, insight-led operations.
Jump: Create the New Shell for Faster Migration and Future Readiness
Jump is the establishment of a new shell into which an existing business or functional capability can be migrated. It is often the right move when incremental change alone cannot overcome the limits of legacy architecture, cost structures or entrenched ways of working. Jump gives organizations the opportunity to leap to new strategic platforms and operating models while reducing the drag of the old environment.
Making that leap requires more than a technology build. It depends on designing a platform and operating model that are ready for continuous change from day one. Publicis Sapient’s approach starts with the bigger question: what capabilities will define the business in the years ahead? Once that is clear, the architecture can be shaped around differentiating capabilities, not just current-state system maps.
This is where modernization enablers and intelligent delivery tools have a multiplying effect. Pre-built agents and AI-supported development workflows can automate large portions of the software development lifecycle, shrinking delivery windows from months to weeks. Cross-disciplinary teams can work from a common product vision, supported by modern engineering, design and data practices. The result is a platform that is not only faster to launch, but easier to enhance, scale and govern over time.
Publicis Sapient has demonstrated this kind of speed in financial services, including building the world’s first fully digital trade finance bank from concept to live in just a matter of months. That achievement reflects what Jump is really about: creating a new environment where strategic capabilities, agile delivery and customer-centric design can flourish without being constrained by the operating assumptions of the legacy estate.
In practice, Jump is strengthened by platform-agnostic AI tools that integrate with existing technology partners while keeping data secure in the client environment. This makes it easier to migrate functions in stages, connect old and new worlds during transition and establish a durable foundation for future products, channels and workflows.
Attack: Launch New Digital Propositions with AI at the Center
Attack is the launch of a brand-new digital proposition designed to reach new customers, unlock new revenue streams and compete more effectively with digital-native challengers. It is the most outward-looking of the three paths, but it still depends on the same foundational enablers: modern platforms, connected data, agile delivery and intelligent operations.
The difference is that Attack allows firms to design from a clean slate around customer needs, commercial potential and experience differentiation. In financial services, where consumers increasingly expect intuitive, personalized and always-on interactions, AI becomes a powerful advantage in both proposition design and day-to-day delivery.
Agentic platforms can help teams build and deploy use-case-specific AI workflows in minutes, accelerating experimentation without requiring heavy coding effort. These capabilities can support onboarding, service, product recommendation, compliance workflows and operational orchestration. In the multinational bank example, AI agents were used to autonomously manage onboarding, personalize offers and streamline operations, reducing manual work by 60%.
Attack strategies also benefit from strong personalization capabilities. When firms unify customer data, refine audience insight and connect digital channels, they can create omnichannel experiences that feel relevant, timely and trusted. AI helps institutions anticipate needs, tailor propositions and improve lifetime value, while modern experience platforms make those interactions consistent across every touchpoint.
This is especially important in sectors such as banking, insurance and wealth management, where customer loyalty is increasingly shaped by the quality of digital journeys rather than by product features alone. New digital propositions win when they combine speed to market with clarity of purpose, frictionless design and the operational intelligence to improve continuously after launch.
The Common Enablers Behind All Three Paths
While Evolve, Jump and Attack have different goals, they succeed for the same reason: the institution has built the capabilities to execute with confidence and speed.
Modernization platforms reduce technical debt, accelerate migration and create flexible architectures for change.
Data foundations connect and refine information across the enterprise, enabling real-time insight, better decision-making and compliant AI adoption.
Intelligent support transforms IT operations through autonomous services, self-heal capabilities and predictive issue management, increasing throughput while lowering cost.
Agentic workflows automate routine work, compress delivery timelines and make personalization and operational efficiency scalable.
New operating models bring together cross-disciplinary teams empowered to build around customer outcomes rather than internal silos.
Together, these enablers help financial institutions move beyond isolated pilots and point solutions. They create the conditions for transformation that is measurable, repeatable and sustainable.
From Transformation Strategy to Transformation Velocity
The institutions that lead in financial services will not be the ones talking most loudly about AI. They will be the ones using AI, modernization and data to make transformation real: modernizing legacy estates faster, launching new platforms more confidently and bringing new propositions to market with greater precision.
Evolve, Jump and Attack remain powerful pathways for reinvention. What has changed is the speed at which they can now be delivered. With the right enablers in place, financial services firms can reduce build times, improve operational efficiency, personalize experiences at scale and create the agility needed to thrive in a digital-first future.
That is how transformation moves from theory to execution—and how AI becomes not a standalone trend, but a practical force multiplier across every path to growth.