Recruitment and hiring
Screening resumes, ranking candidates or drafting interview questions.
AI in the workplace
AI in the Workplace: What Employers and Employees Need to Know
AI is changing how people create documents, analyse information, answer customer questions, manage cyber threats, make recommendations and automate routine tasks.
Common examples
AI can appear in ordinary workplace processes.
Sometimes AI is obvious, such as a chatbot. Sometimes it sits behind a dashboard, score, recommendation, automatic summary or embedded feature in existing software.
Rostering
Suggesting shifts, predicting demand or allocating people to tasks.
Performance monitoring
Summarising activity, output, call quality or response times.
Customer service
Assisting with replies, call summaries, triage and chatbot responses.
Document writing
Drafting emails, reports, policies, minutes, summaries or briefs.
Data analysis
Finding patterns in sales, safety, finance, claims or service data.
Surveillance and monitoring
Analysing camera, location, device or productivity data.
Decision support
Making recommendations that a person may use to decide next steps.
Workplace automation
Triggering routine tasks, reminders, forms or follow-up actions.
Risk assessment
Flagging safety, fraud, privacy, quality or compliance concerns.
Training support
Personalising learning content or creating practice scenarios.
Knowledge search
Helping workers find information across internal documents and records.
Work is changing
AI can improve productivity, but people still need clear guidance.
Some AI tools assist employees. Others may reshape processes, roles and workforce planning. Employers and employees both need clear expectations so AI improves work without creating avoidable harm.
- Identify where AI is already being used, including embedded AI features.
- Create a clear AI policy explaining approved tools, prohibited uses, data rules and review requirements.
- Assess risks before AI is used in HR, safety, customer service, finance, legal, health, education or other high-impact areas.
- Consult and support employees where AI changes tasks, workflows, skills or job security.
- Train staff to understand AI limitations, privacy risks, cyber security and responsible prompting.
- Keep humans accountable for decisions that affect workers, customers, clients or vulnerable people.
- Use only approved AI tools for work tasks unless clear permission is given.
- Do not upload confidential, personal, sensitive or proprietary work information into public AI tools without approved safeguards.
- Treat AI output as a draft or suggestion, not verified truth.
- Check facts, sources, calculations, tone, bias and legal or safety implications before using AI output.
- Report AI mistakes, privacy concerns, security issues or harmful outputs.
- Keep professional judgement, experience and accountability at the centre of your work.
Next step
Build AI awareness before scaling AI adoption.
A trained workforce is one of the strongest controls against unsafe or irresponsible AI use.