ARTICLE 1 • HR INTELLIGENCE
AI in HR: From Experiment to Value
How to move from AI curiosity to measurable HR value.
Principle: AI should increase the quality and speed of human work without quietly taking over high-stakes judgment.
Implementation sequence
- Start with the business problem, not the tool.
- Map the workflow and identify repetitive, data-heavy and judgment-heavy steps.
- Score value, risk, data readiness and human judgment before piloting.
- Define a baseline and a small set of outcome metrics.
- Pilot, evaluate, govern, then scale.
Human + AI boundary
Automate routine work where downside is low and measurement is clear. Use AI for analysis and decision support where it improves evidence. Keep final accountability, empathy, ethical judgment and sensitive people decisions with qualified humans.
What to measure
Cycle timeQualityExperienceAdoptionRiskBusiness outcome