AI at work · Case analysis · 50 min
What goes in the tool, and who gets told
The two questions that get entry-level workers in trouble: what data was I allowed to paste, and did I say a tool was involved.
Target level: Proficient — Has functional knowledge of the skill and can apply it properly in specific on-the-job settings.
Why this design
Work a real situation from evidence to recommendation, and show the reasoning. Judgment content — root cause, tradeoffs, competing priorities, risk.
What this evidences
- data-privacy-judgment×1 at Proficient
- ai-ethics-disclosure×0.6 at Proficient
By the end, the learner can
- Production reporting automation: hands off structured tally data to an AI system to generate scaled-volume reports and species breakdowns, then audits the output against raw field records before submission.
- Operations monitoring interpretation: feeds machine log data, vibration readings, or out-of-tolerance measurement records into an AI tool to identify drift patterns, then acts on the diagnosis to recalibrate or replace tooling.
- Quality control documentation: directs an AI tool to draft inspection records and non-conformance notes from verbal descriptions of fit or dimension failures, then reviews and signs off each entry before shop records are filed.
Session plan
- 15 minThe caseWhere this shows up: manufacturing plants and production floors, working with supervisors, production coworkers, quality staff. Conditions to expect: process-driven, quality-controlled, repetitive. Entry roles this maps to: Cabinetmakers and Bench Carpenters, Continuous Mining Machine Operators, Fallers.
- directs an AI tool to draft inspection records and non-conformance notes from verbal descriptions of fit or dimension failures, then reviews and signs off each entry before shop records are filed.
- 15 minEvidence logWork the task on your own first. Support is available, but ask for it out loud so the group hears what got you stuck.
- Tools in play: Spreadsheet software, Office suite software, Electronic mail software.
- 10 minCompare readingsCompare answers before the debrief. Where the room split is the useful part — the split usually marks a real judgment call rather than a knowledge gap.
- Where did two people read the same situation differently, and what did each notice?
- Which answer would survive a supervisor asking "why did you do it that way?"
- 10 minWhat the record showedClose the loop: what changed between the first attempt and the last, and what would have to be true for data & privacy judgment to hold up on a bad day.
Assessment (17 items)
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