Mission 6 — Key Terms

Prototype A working version of an AI system built using no-code or low-code tools to prove that a concept works. A prototype runs when you run it. It is not designed for enterprise scale, security, or maintenance. The prototype is where you prove the idea. Production is where you deploy it.

AI Officer (AIO) The business professional responsible for designing, leading, and governing an AI program. The AI Officer understands the business problem, designs the system, writes the production brief, owns the governance, and reviews outcomes. The AI Officer is the bridge between the business and engineering. The AI Officer does not build the production infrastructure.

Security Review The process by which an organization's security team evaluates an AI system before it goes to production. A security review checks that data flows through approved, authenticated channels, that no sensitive data is exposed to unreviewed third-party services, and that the system meets the organization's security standards. Production systems require a passed security review.

Component 1: What It Is The system description section of the production brief. Covers the system name, what it does, who uses it, and what problem it solves - written in plain language readable by both a senior leader and an AI Engineer.

Guardrails (as Policy) In production, the guardrails the AI Officer defined in Mission 5 become formal organizational policy. They are written into the production brief as the official definition of what the system can and cannot do. The AI Engineer implements them technically. When guardrails need to change, the AI Officer makes the decision and the engineer implements the change. Guardrails are

Efficiency Metrics Metrics that measure time and volume - how much faster a process runs with the AI system, how many cases it handles per week. Examples: average resolution time, tickets processed per day, hours reclaimed per month.