With a large number of applications, reading and comparing CVs and cover letters takes considerable time. AI can help by providing an initial structure: which candidates meet the minimum job requirements, which skills are mentioned, in which sector does the candidate have experience? This is a supporting role, not a deciding one. The final decision about who is invited for an interview remains with a human.

This is the most critical point for AI in recruitment. Screening algorithms trained on historical hiring decisions reproduce the biases present in those decisions. A model that historically saw more men hired for technical roles may systematically score female candidates lower. This is a real risk that must not be ignored. Only use AI for recruitment if you can actively evaluate whether the system assesses different groups equally, and if a human makes the final decision.

A safer and less controversial use of AI in recruitment is automating communication. Acknowledgements of applications, interview invitations, rejections after the first selection round, status updates: these are communications that must be consistent and sent promptly. AI can generate those texts based on the status in your ATS (Applicant Tracking System), after which they are sent without manual intervention.

Onboarding is another HR process with many repetitive steps: sending welcome materials, creating accounts, scheduling introductory meetings, forwarding forms. An automated onboarding workflow ensures that every new employee receives the right information at the right time, without the HR employee having to initiate it manually each time. Trigger the workflow upon offer approval and let it automatically execute the necessary steps.

Another application is an internal AI assistant that helps employees and managers with HR questions: leave policy, appraisal procedures, expense reimbursements, payment timelines. Instead of consulting an HR employee every time, employees can consult an AI chatbot that retrieves the relevant information from the HR handbook or internal knowledge base. This relieves HR teams and increases the accessibility of information.

HR data is particularly sensitive: it involves personal data of applicants and employees. Strict GDPR requirements apply when using AI in HR processes. You must be able to demonstrate on which legal basis you process data, how long you retain it and what rights those involved have. For automated decision-making that significantly affects applicants, there is additionally a right to human intervention. Document your system carefully.

AI in HR processes offers real time savings in screening, communication and onboarding. But it requires particular attention to bias, privacy and fairness: more so than in most other domains. At Mach8, we help HR departments deploy AI responsibly, with a human always in the deciding role. Get in touch to discuss which HR processes in your organisation are candidates for automation.