Open Data Infrastructure
Agentic Data Write-Ahead Logs
A write-ahead pattern for capturing proposed agentic data changes, validation results, human review, rollback paths, and compensating actions.
Agentic data writes need a waiting room before they touch the system of record.
Writes need evidence before execution
Agentic workflows can propose changes, call tools, update records, and trigger downstream processes. That raises a basic ODI question: what evidence exists before the write happens?
An agentic data write-ahead log captures the proposed change, source state, requester identity, policy decision, validation result, human review if required, rollback plan, and compensating action before the change is committed.
Core idea: A write-ahead log for agentic data turns proposed changes into reviewable infrastructure events before they become production state.
Provenance belongs before the mutation
W3C PROV frames provenance as information about entities, activities, and people involved in producing data. OPA decision logs show how policy decisions can be recorded for audit and debugging.
Together, those ideas give the write path a usable control model. The proposed write is an activity. The source record, validation checks, policy decision, reviewer, and committed result are entities and evidence around that activity.
Patterns that work
- Create a proposed-write record before any agentic change reaches the target system.
- Store source state, proposed mutation, policy decision, validation output, and expected side effects.
- Require human approval for high-impact writes, regulated fields, and uncertain source evidence.
- Record rollback and compensating actions in the same packet as the write proposal.
- Make committed, rejected, expired, and superseded states explicit.
For adjacent ODI context, read agentic data human review queues, agentic data reconciliation, tool result quarantine.
What breaks first
- An agent updates a record and the only evidence is an application log.
- Human review approves the final screen but not the source state or validation result.
- Rollback requires guessing what changed because the proposed mutation was not stored.
- Rejected writes disappear and cannot be used to improve policy or evaluation tests.
Questions to ask
- Which agentic writes require a proposed-write record?
- What validation blocks commitment?
- Who approves high-impact writes?
- Can the team replay the write decision without rerunning the agent?
Sources to start with
These primary sources anchor the technical claims in this guide.
The write path is where agent trust becomes operational.