This three-day programme is built for CHROs, HR leaders and the talent, learning and people analytics teams who have to decide where AI belongs in the people function. HR holds sensitive personal data and a high volume of repetitive document work: job descriptions, policies, candidate pipelines, engagement surveys, performance reviews, attrition data and learning plans. Generative AI drafts, classifies and summarises that work well, and an AI agent goes one step further: given a goal, it reads the policy, applies the rules, records a decision and hands the exceptions to a person. The programme follows the four pillars of the people function, Hire, Engage, Grow and Plan, with responsible use built into every module.
Day one builds operator-level fluency: how large language models work, an HR digital maturity and AI readiness audit, prompt engineering with the C.L.E.A.R. framework on participants' own HR documents, AI-assisted sourcing and rubric-first screening, custom assistants for recruiting and HR administration, and an introduction to AI agents. Day two applies AI across compliance, engagement and retention: the Blueberry Test for bias, benefits and pay-equity guardrails, NLP and sentiment analysis on engagement surveys and employee relations tickets, predictive retention and attrition analytics, and performance calibration with HR analytics. Day three is strategic: workforce planning and personalised learning, then the agent build, where every participant builds a leave request triage agent against a written policy in a pre-configured Codespaces environment and instruments it to read its traces, before ethics, governance, Shadow AI and the capstone roadmap close the programme.
Participants work on realistic recruiting, engagement, attrition, performance and L&D scenarios throughout. They leave with a prioritised AI use-case roadmap for their function, an HR prompt library, working custom assistants, a working HR agent with its evidence pack of traces and metrics, a Shadow-AI governance policy draft, and a capstone HR AI transformation roadmap with a ninety-day plan they can hand to their executive committee. The programme finishes on where the field is heading: agentic AI, where an HR agent is given a goal and plans and executes the work under human supervision, with context engineering, agentic retrieval-augmented generation and the Model Context Protocol.