In motorsport, no team rebuilds the car mid-race — they engineer it so key parts can be swapped or adjusted in seconds without compromising safety or speed. Enterprises in regulated industries like investment management face the same challenge with AI: model capabilities are evolving monthly and peers keep competition fierce, but decision quality and compliance cannot be compromised.
This session presents a practical playbook for building agentic harnesses that evolve at the speed of technological change — separating the durable layers like governance, client constraints, and auditability from the modular ones such as models, data streams, and orchestration frameworks.
Attendees will leave with concrete frameworks, vendor-selection criteria, and lessons from building agentic systems inside one of the world's largest asset managers. If your AI roadmap changes every quarter but your scrutineers don't, this talk will help tune your chassis to perform within track limits.
