Regulatory Adaptation to Agentic, IPS-Governed Investment Processes

Determine how existing regulatory frameworks for investment management should adapt to processes in which the analytical workload is executed by autonomous multi-agent systems governed by an Investment Policy Statement rather than by human analysts operating within organizational and regulatory hierarchy.

Background

The proposed agentic SAA system shifts analytical execution from humans to autonomous agents while retaining governance via the IPS and documented audit trails. This creates a new operational paradigm where oversight and accountability mechanisms may need to be reframed for automated, agent-driven workflows.

The authors explicitly raise the question of how regulation should evolve to address autonomy, explainability, and fiduciary standards when core analytical tasks are performed by AI agents rather than human research teams.