5 questions · pass at 70% to earn the journey badge. You can retake it anytime.
01 What is the best first step when selecting an AI automation use case?
Pick the flashiest demo regardless of value Target high-volume, repetitive tasks with clear inputs/outputs and tolerance for review Automate the most safety-critical decision first Replace an entire department immediately
02 Why is prompt engineering central to reliable business automation?
It eliminates the need for testing Structured prompts with context and constraints make outputs consistent enough to depend on It is only needed for chatbots It guarantees the model is never wrong
03 How do AI agents extend simple prompt-response automation?
They remove humans from every loop by default They can plan multi-step tasks, call tools/APIs, and act on results They only summarize text They require no orchestration
04 What governance practice is essential before scaling AI in production?
Disable all logging to protect privacy Define scope, add human review for consequential outputs, log decisions, and monitor quality Let the model decide its own guardrails Skip evaluation to ship faster
05 What is a realistic expectation for ROI from AI automation?
Instant full replacement of staff with zero oversight Meaningful time/cost savings on targeted workflows, with humans handling exceptions No measurable impact ever It only helps marketing