Where does the data live—and what is permitted to leave?
Exclude, anonymise or constrain information before choosing a model.
Trust & control
Control is a design decision.
Sophistication, not security theatre.
Established companies need specific answers about data, access, approval, logging, uncertainty, ownership and go-live. The correct answer depends on the company, the workflow and the consequence.
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Who may read, write, trigger or approve?
Grant only the access required for the agreed task and no more.
What happens when AI is unsure or wrong?
Define confidence, review, exception and escalation paths.
What is logged and what must be demonstrated?
Make behaviour, approvals and acceptance visible enough to judge.
How do IT, security, legal and existing suppliers participate?
Bring responsible stakeholders into the relevant gate instead of bypassing them.
How is access changed, removed or handed over?
Ownership and exit must be designed before dependency is created.
Control must survive the demonstration.
The system should remain understandable and governable after the exciting part: when users change, exceptions occur, access must be revoked, the model is uncertain or an existing partner needs to maintain the environment.
Least privilege
People, systems and models receive only the permissions needed for their defined responsibility.
Human authority
Sensitive approvals, commercial decisions and meaningful exceptions remain with accountable humans.
Defined data use
Data sources, exclusions, movement, storage and model exposure are explicit before implementation.
Observable behaviour
The company can inspect what matters: inputs, outputs, actions, approvals, exceptions and failure conditions.
Acceptance before go-live
Capability is demonstrated against agreed scenarios before it receives operating trust.
Client ownership
Architecture, knowledge, access and handover are designed to avoid unnecessary supplier dependency.