aceA TIERED LIFECYCLE GOVERNANCE FRAMEWORK FOR AGENTIC ARTIFICIAL INTELLIGENCE IN FINANCIAL SERVICES
The rapid emergence of agentic artificial intelligence (AI) presents significant governance challenges for financial services, where autonomous systems increasingly support high-impact financial activities. Existing regulatory approaches remain fragmented and continue to rely primarily on non-binding supervisory guidance, leaving important gaps in lifecycle oversight, accountability, and systemic risk management. This paper proposes the Tiered Lifecycle Governance (TLG) Framework, a strategic governance model th…
A proposed framework pairing three transaction-risk tiers with four AI lifecycle stages would set proportionate, binding oversight duties intended to improve resilience, transparency, and accountability for agentic AI in finance.
Current regulation of agentic AI in financial services is fragmented and relies mainly on non-binding supervisory guidance, leaving gaps in lifecycle oversight, accountability, and systemic risk management.
The framework is a proposal tested through analytical application to a regulatory review, and the abstract reports no measured real-world outcomes or adoption by regulators.
Evidence
- Peer-reviewedWorld Journal of Advanced Research and Reviews2026-10-22
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Truvace Impact Record TRV-2026-2163, v1: “A TIERED LIFECYCLE GOVERNANCE FRAMEWORK FOR AGENTIC ARTIFICIAL INTELLIGENCE IN FINANCIAL SERVICES.” Truvace, 2026-10-22. /record/TRV-2026-2163 (accessed at citation time). sha256 c73cb6dcc868999a…
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