Practical resource

Review the architecture before adding the tool.

Use these questions with your team to expose unclear ownership, fragile assumptions and missing recovery plans. This is a discussion aid, not a compliance certification.

A focused review

Work through one real data path. Mark an item when you have evidence or an agreed answer; leave it open when more work is needed.

Selections remain on this page only. They are not sent or saved. Print a copy for your review notes.

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1. Purpose and ownership

Name the business decision or workflow this architecture supports.Assign an owner for each dataset, metric and operational handoff.Define success and the circumstances in which the change should be stopped.

2. Data contract

Document keys, duplicates, null semantics and how deletes are represented.Set freshness targets and explain how late or out-of-order events are handled.Check schema evolution, backfills and the source recovery window.

3. Access and evidence

List the users and services that need access; test denied access too.Specify which logs are necessary, who can read them and when they are removed.Trace an output back to its source records and business definition.

4. Cost and recovery

Estimate normal and peak workload costs; set useful limits and alerts.Test failure recovery, replay and idempotency before relying on the workflow.Define a rollback path and verify that the previous result can be restored.

5. AI-assisted work

Choose representative evaluation examples and an accepted error threshold.Keep generated changes reviewable and require approval for consequential actions.Record model, prompt, input selection and evaluation results where relevant.

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