AI can make processes and information easier to work with. When the decision affects a person, a leader still needs to examine the facts, hear the people involved, and own the outcome. Heather’s September clip draws that line plainly.
Illustrative operating example — not a client result
AI flags an attendance pattern at a manufacturing plant
Imagine a manufacturing site using AI to summarize attendance records. The tool flags an operator for repeated late arrivals and suggests a performance conversation. A supervisor checks the records and finds that two entries followed a shift-schedule change and one was a timekeeping correction. The summary was useful for finding the pattern, but it was incomplete.
Before acting, the supervisor verifies the schedule, asks the employee what happened, and consults the appropriate people policy. The manager records what the tool identified, what the human review corrected, and why the final decision was made. The person affected has a chance to correct the record before any employment action.
Where AI can help
Use a tool to organize an SOP, surface relevant records, or summarize questions that would otherwise take hours to assemble. Check the output against the underlying material before it informs any decision.
Where a person must decide
Hiring, performance, discipline, accommodation, and other people decisions require context and accountability. A generated summary cannot hear every concern or take responsibility for the consequences. Assign a named decision maker who can explain the reasoning.
Make the review visible
Record the source information, what the tool contributed, what a person verified, and why the final choice was made. Give the affected person a way to correct missing or mistaken information. This is a practical operating safeguard, not a claim that the tool can make a fair judgment by itself.
Start with one workflow
Choose one low-risk information task, such as finding a policy or preparing discussion notes. Test accuracy, limit access to the needed data, and decide who reviews the result before it is used.
A human-review checkpoint for AI-assisted HR work
Use an AI draft to organize inputs or suggest questions, then have an accountable person check the source records, context, and missing perspectives before acting. Do not let a generated score quietly become a hiring or promotion decision.
Ask what information the tool used, whether the employee can correct an error, and who can explain the decision in ordinary language. If the answer is unclear, pause the decision and review the process with the appropriate HR and legal advisers.
Keep a record of the human reasoning and the final decision owner. The useful result is a more consistent review process, not a claim that software has removed judgment or bias.
For the broader people-operations foundation around this decision, read why AI will not fix broken people operations in manufacturing.
Frequently asked questions
Can AI make an employee decision?
A responsible organization assigns a person to verify the evidence, consider context, and make the decision.
What is a useful first AI task for HR?
A bounded information task, such as organizing a policy or preparing questions for human review, is easier to inspect than an automated decision.
What should leaders document?
Document the inputs, the tool’s role, the human checks, and the reason for the final action.
Sources and related reading
- Original HM Pinnacle calendar video, embedded above.
- Related guidance on AI and people operations
The operating example in this article is illustrative and is not a reported client outcome.
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