Event Sourcing

Classify artifacts in the client-update workflow as commands, proposals, domain events, or derived read models.

Model the lifecycle of a proposed client-information update, including creation, revision, acceptance, rejection, and supersession.

Choose event-stream boundaries and identifiers for clients, proposals, and gate decisions.

Create a minimal event catalog for proposals, revisions, gate decisions, and approved client-data changes.

Draw a high-level component and data-flow diagram that assigns authority to AI agents, acceptance gates, the event store, projectors, and the canonical database.

Define the inputs, outcomes, and invariants of an acceptance gate, including the rule that only approved changes may affect canonical state.

Trace accepted, rejected, and superseded proposals through the architecture while preserving their histories and producing the correct canonical result.

Choose the atomic write boundary and explain how asynchronous projection can avoid unsafe dual writes while permitting temporary consistency lag.

Apply expected-version checks and idempotency controls to scenarios involving concurrent agents, repeated proposals, or duplicate gate decisions.

Plan how to rebuild canonical projections after failure and correct accepted data by appending new events rather than rewriting history.

Define governance requirements for immutable client-data events, including provenance, data minimization, access controls, retention, and deletion constraints.

Produce a high-level architecture decision that compares an event store as the source of truth with a canonical database supported by an append-only proposal ledger, then records the chosen source of truth, acceptance boundary, data flows, consistency model, governance controls, and major trade-offs.