Redefine “digital transformation” moving forward. Move beyond one-off tech projects and align transformation with a long-term strategy focused on flexibility, scalability, and client impact.
Modernize core capabilities. Invest in API-first architecture to support integration, agility, and AI enablement. Shift to cloud-native infrastructure and strengthen your data architecture.
Level up your data strategy. Create a dual-purpose data approach: offensive (to unlock growth) and defensive (to ensure governance and compliance.)
Develop a modern ecosystem. Build platforms that support third-party partnerships and embedded banking experiences.
Adopt agile, iterative ways of working. Train teams to operate in fast-paced, test and learn cycles, and hire and upskill talent with digital-first and AI fluency.
Balance efficiency with personalization. Automate where it drives value, but maintain human touchpoints where relationships matter most.
Clarify ownership and accountability. Assign clear roles across digital, data, and compliance priorities. Set measurable KPIs and ensure leadership alignment.
Get ahead on risk and regulation. Strengthen your risk management framework for digital and AI initiatives. Ensure regulatory readiness with data-backed documentation and transparent processes.
Rethink commercial and consumer models. Standardize the right capabilities to enable high touch service at scale and continue evolving self-service and seamless digital tools in consumer banking.
Keeping this foundation of AI at the forefront, leaders need to: