The November 2024 Camunda paper explores how financial services organizations can scale innovation by operationalizing AI across the enterprise. It emphasizes that success requires moving beyond isolated AI experiments to deploying AI within coordinated, end-to-end processes. The paper discusses common obstacles to AI adoption at scale, including regulatory constraints, legacy systems, and fragmented execution. Process orchestration is presented as the key enabler for integrating AI reliably, with agentic AI providing adaptive, intelligent decision-making within governed workflows. Through examples and industry context, the paper shows how Camunda helps financial institutions deliver sustained value, accelerate innovation, and remain competitive while maintaining control, transparency, and

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