AI & Automation / 2026-07-20
AI governance for growing enterprises
How to move from experiments to useful AI while keeping review, audit and policy intact.
Zerry Technologies
Custom software / ERP and CRM / AI automation / cloud and data / cybersecurity / smart security
Working position
What leaders need to decide.
AI governance should define where automation is allowed, where human approval remains mandatory and what evidence is retained for review.
Name the business owner and accountable reviewer
Classify data before selecting a model or provider
Set evaluation criteria for accuracy, safety and usefulness
Define escalation when confidence or policy conditions fail
Minimum evidence
Controls that make the decision reviewable.
Approved use-case register
Evaluation set and release threshold
Prompt, model and output logging
Access, retention and incident procedures
Next step