Deloitte Consulting LLP’s data leaders say clients want more than strategies — they expect accelerated delivery, real-time insight and a measurable return on investment. Deloitte’s collaboration with Snowflake meets that demand by building a governed data platform designed to speed time to value, according to Bibhu Patnaik, AI and data principal at Deloitte. Legacy data silos remain a major hurdle for financial institutions aiming to adopt AI at scale. Deloitte and Snowflake are working to dismantle these barriers and lay the foundation for a governed data platform that supports both regulatory mandates and innovation goals. The shift enables firms to tap into Snowflake’s scalable architecture while staying compliant with evolving oversight requirements, according to Patnaik. “Bank categorization is changing from a category four to a category three … and that’s where Snowflake shines. That’s where we are partnering with Snowflake to create that governed data platform ecosystem: A single source of truth which people can rely on, mainly for our financials and regulatory purposes as well.” The success of AI depends on harmonized, high-quality data that can be used across multiple functions, according to Sidhu. Deloitte’s work with Snowflake includes building a governed data platform readiness layer, enabling the delivery of real-time insights and unlocking use cases across customer onboarding, claims processing and underwriting. Deloitte sees financial institutions leapfrogging from outdated workflows to agent-based architectures. With Snowflake Cortex AI and a governed data platform supporting multi-agent thinking entering the mainstream, clients are moving beyond robotic process automation in search of more creative ways to reinvent internal operations, according to Patnaik.