AI-Enhanced HR Manager
AI-enhanced management training from DU&T Consulting.
Course overview
This practical course equips HR managers to use artificial intelligence to improve workforce planning, recruitment, employee communication, learning and people analytics. It focuses on responsible, human-led use of AI that supports better decisions without replacing professional judgement.
Participants learn how to select suitable tools, write effective prompts, review AI-generated outputs and protect confidential employee information. No programming experience is required.
Learning objectives
- Identify high-value and appropriate AI applications across the employee lifecycle.
- Use effective prompts to draft, summarise and improve routine HR materials.
- Support workforce planning, recruitment and onboarding with AI-assisted analysis.
- Apply AI to learning, engagement and performance-management workflows.
- Interpret people data while recognising bias, uncertainty and data-quality limits.
- Protect personal and sensitive information when using AI tools.
- Establish human-review, approval and record-keeping controls.
- Create a practical plan for a responsible HR AI pilot.
Who should attend
HR Managers; HR Business Partners; People and Culture Managers; Recruitment and Talent Managers; Learning and Development Managers; Employee Relations professionals; HR Officers preparing for management responsibilities; and business leaders with responsibility for people management.
Course modules
Module 1: AI Fundamentals for HR
Core AI concepts, capabilities and limitations; suitable and unsuitable HR uses; the continuing importance of human judgement.
Module 2: Prompting and HR Productivity
Writing clear prompts; drafting policies, letters, job descriptions and communications; checking tone, facts and legal or organisational requirements.
Module 3: Workforce Planning and Recruitment
Role analysis, skills mapping, vacancy materials, candidate communications and structured selection support, with safeguards against discrimination and automated decision-making.
Module 4: Onboarding Learning and Development
Creating onboarding plans, learning materials, skills assessments and development pathways tailored to legitimate business needs.
Module 5: Performance Engagement and Employee Experience
Supporting goal setting, survey analysis, recognition and manager communications while preserving fairness, context and meaningful dialogue.
Module 6: People Analytics and Reporting
Summarising workforce data, identifying patterns and preparing management reports; testing assumptions and avoiding unsupported conclusions.
Module 7: Responsible AI Data Protection and Governance
Confidentiality, privacy, bias, transparency, security, intellectual property, vendor checks, human oversight and acceptable-use rules.
Module 8: HR AI Implementation Plan
Selecting a manageable pilot, defining responsibilities and success measures, engaging stakeholders and reviewing outcomes before scaling.
Training methodology
The course combines concise facilitator-led sessions, live demonstrations, guided prompting practice, HR case studies and small-group problem solving.
Participants work with fictional or appropriately authorised information to create and review HR materials. Activities emphasise accuracy, fairness, confidentiality and documented human approval.
The course concludes with a practical HR AI pilot plan covering the business need, workflow, safeguards, responsible owner and measurable outcomes.