Using LangChain and Arcade.dev to Build AI Agents For Asset & Wealth Management: Top 3 Use Cases

The market for AI agents in financial services is projected to grow significantly, from $490.2 million in 2024 to $4.48 billion by 2030, driven by their ability to automate routine tasks for wealth advisors, reclaiming up to 75% of the time spent on activities like portfolio reporting and client onboarding. Despite this, the main challenge to production deployment is not AI capability but multi-user authorization, which involves complex infrastructure for managing token lifecycles, scoped permissions, and audit trails. Arcade.dev's MCP runtime addresses this by providing secure, delegated multi-user authorization, enabling safe execution of workflows across fragmented financial systems. LangChain, a leading framework for orchestrating AI agents, excels at managing multi-step workflows, while Arcade.dev ensures agents can securely interact with financial tools without exposing sensitive data. The combination of these technologies allows financial firms to automate complex workflows, such as portfolio reporting and compliance monitoring, while maintaining the regulatory compliance and security standards necessary for production deployment. This automation not only improves operational efficiency but also offers a competitive advantage by freeing advisors to focus on client relationships, ultimately transforming the wealth management landscape.