Data lineage explains where a number came from and how it moved. Decision lineage explains why an instrument sits on a regulatory line, under which version of which rule, and who approved that interpretation.
Pulse connects the complete decision chain:
A governed classification population can support multiple regulatory views rather than repeatedly implementing the same interpretation downstream.
Differences can be investigated at instrument level instead of relying only on aggregate reconciliation.
Historical classifications can be reconstructed using the rules and approvals applicable at the time.
Finance, Audit, and Regulatory Reporting can examine the regulatory decision itself rather than reconstructing it from code and institutional knowledge.
Approved, versioned rules determine what moves downstream, with human review and approval incorporated into the control framework.
The goal is not to trust AI. The goal is to govern the decision.
AI can assist with regulatory interpretation and classification proposals.
Approved, versioned rules determine what moves downstream.
Human review and approval are incorporated into the control framework.
FidusIQ's thesis is simple:
Regulatory interpretation should become a governed technology layer of its own.
Pulse Classify is the first application of that thesis.