Generative AI & AI Agents fundamentals for HR Professionals

Understand generative AI as a pattern-recognition engine in HR that drafts feedback and job descriptions, without true people insight, so human context must verify accuracy.

Highlight garbage in, garbage out: quality drives AI in HR, from HRIS to engagement data, stressing clean, consistent, complete, and current information. Learn to assess readiness before AI use.

Explore the shift from HR chatbots to AI agents, showing how agents carry tasks across systems—from vacation requests to onboarding—moving from answering to acting in HR workflows.

Explore the sense, think, act loop at the heart of HR agents, how signals from HR systems drive reasoning and actions, and when to involve humans for responsible AI.

Explore how generative AI accelerates talent acquisition, from drafting inclusive job descriptions to screening and interview prep, while emphasizing fairness, auditing results, and human oversight.

Use generative AI to personalize onboarding at scale for each role and location. AI chatbots provide ongoing support and map the journey from before day 1 to 90 days.

Empower hr professionals to structure performance feedback and talent development plans with ai, ensuring clear, specific, and constructive input while preserving human judgment.

Leverage AI to analyze thousands of employee feedback comments, identify themes and sentiment, surface representative voices, and proactively address engagement and well-being while upholding transparency and anonymity.

Automate policy questions and document generation, plus routine requests, with AI assistants connected to policy documents and self-service portals, freeing human resources to focus on strategic, human-centered work.

Explore how AI accelerates compliance documentation and audit support in HR by organizing records, summarizing processes, flagging inconsistencies, and generating regulatory reports, while humans retain final authority for accuracy.

Learn how ChatGPT and Claude accelerate HR writing tasks, including job descriptions, emails, policies, and audience-tailored drafts. Apply prompts, audience, tone, and privacy safeguards to produce compliant, human-reviewed outputs.

Discover AI recruiting tools and sourcing assistants that match candidates to roles, surface passive talent, and support structured interviews, with a focus on fairness and governance.

Harness AI to personalize learning, map skills gaps, and chart internal career paths, unlocking internal mobility and targeted development across the workforce.

Enable conversational HR self-service through chatbots powered by generative AI. Embed them in Teams or Slack to access real policy data and connect to HRIS with secure, actionable outcomes.

Explore how people analytics and AI-driven HR dashboards turn workforce data into evidence-based business intelligence, with automatic insight generation, plain-language summaries, and predictive attrition and hiring insights, enabling proactive decisions.

Audit your current enterprise HR platforms to leverage built-in AI features like Skills Cloud, Intelligent Services, and Copilot, then adopt inside-out before shopping external tools.

Inventory your HR processes across recruiting, onboarding, performance management, and more. Apply a lens to identify repetitive, text-based, or data-based tasks for AI opportunities and prioritize high-benefit, low-risk quick wins.

Turn ad-hoc AI use into repeatable HR workflows by standardizing steps—gather information, generate a draft, review against criteria, save templates, and document the process for consistency and auditability.

Embrace human in the loop to safeguard fairness and legality in HR AI. Apply structured checkpoints where humans review high-stakes decisions like hiring, promotion, and termination.

Prioritize high ROI HR AI use cases using a three-dimensional scoring framework—impact, effort, and risk—to identify quick wins, map opportunities, and establish governance for responsible AI.

Audit AI outputs for bias and fairness, scrutinize training data to prevent discrimination in HR decisions, and use diversity-inclusive reviews with human-in-the-loop governance.

Navigate privacy risks in HR AI by safeguarding sensitive employee data, opting for enterprise tools, obtaining consent, and applying data protection laws to balance capability with protection.

Build trust in HR by transparent AI use, explain its role and limits, and keep humans in the loop with open questions and appeals.

Establish a structured HR AI policy with approved tools and a clear approval process. Ensure human oversight and documentation to comply with EU AI Act high-risk rules and EEOC guidance.

Choose your first AI use case in HR by applying four criteria: tangible impact, low risk, simple tools, and clear metrics, to gain momentum and demonstrate value.

Learn to craft a concise, one-page AI adoption plan for HR teams by detailing six components—objective, use case, tools, roles, metrics, budget and timeline—and secure leadership approval.

Launch HR's use of generative AI and AI agents with a 30-day action plan across four weeks: foundation and selection, design and setup, piloting, and evaluation.