A practical review framework from Dr. Blackburn Digital GmbH Use it when choosing an AI use case or considering how to extend an existing feature.
Choose a bounded task
Describe one job in plain language: help someone locate the current guidance for a process, for example. Define what the feature should return and what it should leave to a person. A narrower task makes it possible to agree useful examples of correct, incomplete and unacceptable responses.
Specify the audience and the consequences of a wrong answer. A drafting suggestion reviewed by an editor has different requirements from an answer that a user may act on immediately. Those requirements should shape the design and review process from the start.
Trace a sample answer back to its sources
Take several likely questions and identify the source material needed to answer each one. Check who maintains that material, whether it applies to this audience and how a change becomes visible. Conflicting documents need a decision about authority; presenting both to a model does not resolve the disagreement.
A compact review record can contain the question, relevant source, responsible reviewer and next review point. Where a source is incomplete, record the gap. The purpose is to make responsibility practical rather than assume that a large collection of documents is ready for every use.
Test the awkward cases
Include an outdated document, an ambiguous question, a request outside the intended scope and a question the sources cannot answer. Look at what the system does in each case. Does it show the relevant source, ask for clarification or explain that the available information is insufficient?
Keep the test examples separate from ordinary customer messages. Synthetic examples can reveal many issues without collecting more personal information. Any use of real cases needs an appropriate purpose, handling process and access limits.
Make review and escalation usable
Decide who can correct a source, report a poor answer and pause a feature. The user should understand when an answer needs further checking and how to reach the appropriate person. A disclaimer cannot compensate for a workflow that makes necessary review difficult.
After a change to the source material or model, repeat the important examples. Keep a short decision record of what changed and whether the feature still meets its intended purpose. Expand the use case only when there is evidence to support that step.