Data boundaries
Identify the information needed, who owns it and which systems may process it. Agree access, retention and any restrictions before connecting data sources.
A practical framework for discussing data, evaluation, human oversight and operational ownership.
These are delivery principles to agree for each engagement, rather than claims of certification.
Identify the information needed, who owns it and which systems may process it. Agree access, retention and any restrictions before connecting data sources.
Define which outputs need review and which actions require approval. Give users a clear route to correct an answer, reject a suggestion or stop a workflow.
Use representative examples, including difficult and unexpected inputs. Record failure cases and limitations rather than relying on a successful demonstration.
Discuss least-privilege access, credential handling, environment separation and logging requirements during solution design.
Agree monitoring, incident escalation, maintenance and support responsibilities before launch. Document dependencies and recovery steps.