Answers to technical questions before commissioning work.

How data classification, tool approvals, reviews and documented decisions make governance effective in day-to-day engineering.

Four dimensions support a technical assessment: data, systems, team and governance.

Four situations in which a written technical assessment clarifies the state of a system and provides a sound basis for decisions.

Four criteria help determine whether AI, conventional automation or a process change is the appropriate approach.

Five practical criteria for examining technical experience, vendor neutrality and the quality of proposed outcomes.

Where AI can assist with analysis, testing and migration, and which tasks still require technical experience and responsibility.

Five dimensions help organisations compare products, custom development and controlled private operation.

Four reasons for private AI infrastructure and the operational requirements to clarify before making an investment.

What a technical security audit examines, how it works and how it differs from penetration testing, certification and legal advice.

Which application dates matter and why concrete triggers, market roles and legal bases need to be assessed separately.