Event Auditability

Executive Summary

Event Auditability defines how Algosure events support traceability, evidence, operational review, compliance review, AIOS explainability, and future replay.

Why This Exists

Algosure handles procurement, compliance, bidding, contracts, funding, payments, AI recommendations, and customer organization data. Events must be auditable so material actions and reactions can be explained.

Owner

The owner is the Chief Product Officer and Enterprise Architect.

Business Value

Auditable events improve trust, governance, debugging, dispute resolution, compliance readiness, and executive accountability.

Audit Flow

flowchart TB
    Command[Command or External Observation]
    Event[Published Event]
    Audit[Event Audit Trail]
    Consumer[Consumer Processing]
    Result[Consumer Result]
    Review[Audit Review]

    Command --> Event
    Event --> Audit
    Event --> Consumer
    Consumer --> Result
    Result --> Audit
    Audit --> Review

Audit Requirements

Requirement	Meaning
Event identity	Every event has a unique event ID.
Source traceability	Audit records identify source domain, source aggregate, tenant, organization, actor, and time.
Correlation traceability	Correlation ID links related events in a business process.
Causation traceability	Causation ID explains which command, event, or observation caused the event.
Consumer traceability	Consumer processing status, result, retries, and failures are visible.
AIOS explainability	AIOS-triggered events link to reasoning records, evidence, confidence, and approvals where applicable.
Integration evidence	Integration events retain external source, timestamp, and normalized interpretation evidence.

Audit Trail Boundaries

Boundary	Audit Meaning
Domain event	Source business fact and owning Domain.
Application event	Use-case fact, application service, actor, and workflow context.
Integration event	External observation, external provider, source evidence, and interpretation owner.
Notification event	Notification intent, channel attempt, delivery state, and failure reason.
Analytics event	Projection or metric generation lineage.
AIOS event	AI task, reasoning outcome, memory action, evidence, and approval state.

Replay Readiness

Event replay is a future capability. Auditability must preserve enough identity, metadata, versioning, ordering assumptions, and source references to make replay reviewable and safe.

Replay Concern	Architecture Requirement
Duplicate effects	Consumers must be idempotent.
Version drift	Replay must know event version and compatibility.
Tenant security	Replay must preserve tenant and organization boundaries.
Historical context	Replay must distinguish historical facts from current state.
Audit evidence	Replay attempts and outcomes must themselves be auditable.

Non-Implementation Boundary

This document does not define audit table design, log aggregation tooling, retention duration, replay implementation, or compliance reporting format.