​The Contextual Hierarchy: A Framework For Autonomous Financial Intelligence

Jerry Shu, Daylit CTO, introduces the Contextual Hierarchy framework to enable deterministic financial AI by structuring financial data into transaction, account, ledger, and enterprise layers. This architecture bridges the gap between probabilistic LLMs and deterministic accounting, ensuring every decision is auditable and traceable. The framework addresses finance's high-entropy fragmentation by enforcing high-fidelity context, allowing AI agents to operate with precision, not approximation. It enables CFOs to deploy AI that behaves like a human auditor, not a probabilistic model. The model prioritizes accuracy, compliance, and traceability in financial operations, solving the core barrier of AI adoption in finance: lack of context fidelity.