Which records and relationships could a generated conditional decision dataset contain?

A generated release for this workflow can contain several layers.

**Core records.** Decisions with a decider role and status, conditions with owners and due dates, evidence items submitted against conditions, review outcomes, holds, releases and variations.

**Policy material.** Short generated policy documents that say which conditions may be waived, who can waive them, how long evidence stays valid, and what happens when a due date passes. These let a task check whether a decision followed the rule, not just whether it looks plausible.

**Relationships.** Each condition belongs to one decision. Evidence attaches to a condition. A hold points at the condition that caused it. A release lists the conditions still in force. Variations point back to the condition they change.

**Timelines.** Events with timestamps, so a buyer can test ordering: was the work released before the last condition was cleared?

**Exceptions.** Partial evidence, late evidence, conditions reworded after a decision, and approvers who are absent. These can be varied by domain, such as lending, insurance underwriting or utilities connections.

Everything is generated and informed by direct observation of how real businesses operate. It is not real business records. Resellers should describe the structure accurately and encourage buyers to inspect grounding and disclosure risk.