Moving from Conversational AI to Auditable, Deterministic Computation in Regulated Industries
What if critical business logic could be captured directly from domain experts via AI, formally verified as an auditable specification, and executed deterministically across any platform without vendor lock-in?
Financial services systems are overwhelmingly defined by deep, complex business logic. In regulated institutions, critical calculations (from statutory interest rate caps to capital adequacy and liquidity metrics) demand absolute precision, auditability, and bi-temporal awareness. Generative AI makes code generation fast, but regulated environments cannot tolerate probabilistic drift, hallucinated calculations, or opaque, unverified black-box code. At the same time, relying on proprietary AI tools tied to specific cloud data platforms risks locking your bank’s core intellectual property into a single vendor's ecosystem.
Building on insights from OSFF London, this hands-on workshop demonstrates pairing conversational AI copilots with FINOS Morphir to turn human-readable domain intent into deterministic, platform-agnostic, machine-executable specifications.
Join Stephen Goldbaum (DataHub) and Attila Mihaly (Morgan Stanley) for an interactive session that bridges the gap between subject-matter experts and production runtimes. Attendees will experience an end-to-end progression: starting with intuitive, conversational rule capture using interactive agents, generating a formally verified Morphir specification, and inspecting the resulting execution flows and temporal effective dates in a visual data workbench.