AI for Human Resources
Processes, use cases and architecture
Search HR policies, prepare documents and assist training administration. A document assistant uses an approved corpus and role-based permissions. Skills analysis supports human discussion; it is not an automated recruitment or performance decision.
Required data and applications
HRIS, procedures, applicable agreements, training catalogue and skills frameworks. Minimise personal data and define retention periods for each use case.
Human accountability and limitations
Administrative processing time, answer quality and adoption. HR leadership and the DPO assess purpose, access and risk. Employment-related uses require a specific regulatory assessment and stronger safeguards.
Measuring benefits
The pilot compares a baseline with the target process on representative cases. Business owners define quality thresholds and the right to revert to manual processing before launch.
Bringing the right expertise together
FAQ
How should an AI programme be measured?
Compare outcomes with a baseline: quality, end-to-end time, total cost, adoption and incidents. Measure review effort and errors, not just the number of generated answers.