What Does AI Across the SDLC Actually Look Like at a Brokerage Firm?

The article examines how AI can be practically applied across every phase of the SDLC at brokerage firms, rather than just in code generation. It highlights that most AI adoption efforts fail at the organizational level because they focus on coding speed while real bottlenecks lie in requirements understanding, code review, testing, and deployment of complex trading systems. The piece draws on data from Faros AI showing individual productivity gains don't translate to organizational output, and details how AI should target each SDLC phase.