AI FOR HR

Turn HR work into measurable action.

A hands-on, business-first AI programme that helps HR teams improve recruitment, employee service, workforce reporting, payroll review, learning effectiveness and people decisions through governed AI workflows.

Role-based learning paths Sanitised HR case data Human review built in
18+years in data and AI education
37,500+learners and alumni
400+educators and practitioners
300+corporate recruiters

PREVIOUS PROGRAM HIGHLIGHTS

HR teams learning through real business application.

Hands-on enterprise sessions built around facilitator demonstrations, governed HR workflows and collaborative use-case design.

WHY THIS PROGRAMME

HR has more AI opportunities than it has safe implementation paths.

The programme begins with workflow evidence, data boundaries and review ownership. Tool instruction follows the business problem.

01 / FRAGMENTED WORK

Critical HR work lives across files, emails and systems.

Monthly MIS, recruitment trackers, policies, LMS records and employee feedback require repeated consolidation before HR can act.

02 / TRUST GAP

Fluent AI output can hide weak evidence.

Duplicates, stale regulations, inconsistent definitions and unsupported causal claims can enter management packs without deliberate checks.

03 / ADOPTION GAP

Generic prompting rarely changes a workflow.

Teams need role-based practice, reusable templates, agents, dashboards and a 30-day implementation owner for each selected use case.

20–30%

Knowledge uplift target

Measured through role-relevant pre- and post-assessment.

≥80%

Hands-on completion target

Participants finish the core case output during the programme.

≥70%

30-day activation target

Selected teams begin using or piloting an approved HR workflow.

15–30%

Cycle-time potential

Validated against a baseline for suitable reporting and operations tasks.

Measurement note: These are illustrative targets for programme design. Replace them with agreed baselines and verified post-program results before publishing as client outcomes.

15 HR AI USE CASES

Business work becomes the learning material.

Each use case has a defined problem, input set, output, owner, implementation wave and human validation requirement. Eight are positioned as quick wins, five as Phase 1 priorities and two as strategic builds.

01Quick win

HRBP Monthly Workforce Review Pack

Consolidate HRMS, payroll, attendance, hiring, attrition and L&D inputs into an evidence-led leadership pack.

HRBP / HR Analytics 2–3 months
02Quick win

Employee Master Data Validation

Find duplicates, missing fields and inconsistent department, grade, location, manager and cost-centre values.

HR Operations 1–2 months
03Quick win

Payroll Exception & Cross-Audit

Compare pay movements against attendance, leave, increments, incentives and deductions before sign-off.

Payroll / HR Ops 2–3 months
04Phase 1

Shift, Roster & Overtime Review

Reconcile rosters, attendance, overtime, leave and compensatory off to surface staffing and policy exceptions.

Workforce Operations 3–4 months
05Strategic

Manpower Cost & Budget Analytics

Decompose budget variance across units, grades and locations with drivers, forecasts and management commentary.

C&B / HR Finance 4–6 months
06Phase 1

Attrition & Retention Hotspots

Identify cohort concentrations while keeping patterns separate from confirmed causes and individual decisions.

HR Analytics / HRBP 3–4 months
07Quick win

Requirement-to-JD Workflow

Turn hiring inputs into a structured JD, role scorecard, sourcing brief and bias-aware manager checklist.

Talent Acquisition 1–2 months
08Quick win

Explainable CV Screening

Compare CV evidence against weighted role criteria and record information gaps without unsupported rejection.

Talent Acquisition 1–2 months
09Quick win

Interview Kit & Scorecard

Generate structured questions, role-specific probes, evidence guides and consistent panel evaluation formats.

TA / Interview Panel 1–2 months
10Phase 1

Joining Readiness Tracker

Track communications, documents, background checks, approvals and ageing risks between selection and joining.

TA / HR Operations 2–3 months
11Phase 1

Performance Narrative & Calibration

Improve evidence quality, flag incomplete statements and prepare rating-distribution review packs.

Performance / HRBP 3–4 months
12Quick win

LMS Effectiveness Review

Combine enrolment, completion, assessment and feedback data to identify cohorts and programmes needing action.

Learning & Development 2–3 months
13Phase 1

Employee Voice Theme Analysis

Anonymise and categorise survey and exit feedback with traceable themes, sample controls and action priorities.

Engagement / Analytics 2–3 months
14Strategic

HR Policy Knowledge Assistant

Answer from approved documents with citations, version control, exception routing and an unresolved-query log.

HR Ops / EX / IT 4–6 months
15Quick win

Engagement Communication Studio

Adapt approved HR messages across email, WhatsApp, intranet, posters and professional social channels.

Engagement / Corp Comm 1–2 months

LEARNING ARCHITECTURE

Progress from individual productivity to controlled agentic work.

The programme mix is selected after pre-screening. Every level produces a usable output.

01

Prompt

RICF / RICTF prompts that remove ambiguity, set evidence rules and define the output.

02

Copilot

Emails, meeting minutes, HR documents, presentations and management narratives.

03

Dashboard

Power BI workforce and manpower-cost view with relationships, DAX and filters.

04

Automation

Power Automate triggers, approvals, reminders, document handling and escalation flows.

05

Agent

Seven ready-to-configure HR agents grounded in approved Microsoft 365 sources.

06

Cowork

A five-phase folder workflow that creates a controlled CHRO review pack.

PROGRAMME OUTLINE

Practical by design. Flexible by function.

The core eight-hour format can expand into role-based labs, implementation sprints or a multi-stage HR AI academy.

8 hoursCore programme including breaks
01AI for HR: Focused Recap & Responsible Use30 minutes · Common foundation+
  • AI, GenAI, Copilot and AI agents
  • Confidentiality, candidate data and payroll risk
  • Bias, hallucination and mandatory human review

OutputResponsible AI Checklist for HR

02Prompt Engineering for HR60 minutes · Hands-on+
  • Role, Instruction, Context and Format
  • Templates, filters, evaluation criteria and self-critique
  • Quick response versus deeper reasoning

OutputHR Prompt Library: Foundation Set

03Microsoft 365 Copilot for HR Productivity60 minutes · Hands-on+
  • Meeting transcripts to decisions, owners and deadlines
  • Outlook thread summaries and escalations
  • Word and PowerPoint management outputs

OutputMeeting Minutes and Action-Tracking Template

04AI for Recruitment & Candidate Evaluation75 minutes · Hands-on+
  • Structured JDs and role scorecards
  • Explainable CV comparison against explicit criteria
  • Interview guides, scorecards and candidate communication

OutputAI-Assisted Recruitment Toolkit

05HR Analytics, Payroll & Operations105 minutes · Hands-on+
  • HRMS and payroll validation
  • Attrition, salary movement and manpower cost
  • Dashboard cross-audit and exception reporting

OutputHR Analytics and Payroll Validation Prompt Pack

06AI for L&D and LMS Effectiveness30 minutes · Guided exercise+
  • Completion, overdue learners and assessment movement
  • Feedback themes and course-effectiveness review
  • Department-level follow-up

OutputLMS Effectiveness Review Template

07Employee Engagement & Employer Branding30 minutes · Guided exercise+
  • Multi-channel employee communication
  • Recognition and employer-brand stories
  • Tone, clarity and reputational review

OutputEmployee Engagement Communication Pack

08HR AI Implementation Roadmap30 minutes · Group activity+
  • Current process, problem and input data
  • Workflow, risks, controls and owner
  • Next 30-day action and success measure

Output30-Day HR AI Action Plan

CASE-BASED LEARNING

Participants work on the kinds of files HR receives before they are clean.

Cases use fictional or sanitised data. They test whether participants can validate, explain and control an AI-assisted workflow.

Case Lab 01 · MIS Reliability

One duplicate submission inflates reported headcount by 187.

Participants improve the prompt layer by layer, reconcile row-level arithmetic, inspect mixed formats and use remarks as evidence before producing the monthly summary.

Creates: audited executive summary + exception list + correction requests
Case Lab 02 · Power BI

Build a workforce and manpower-cost dashboard from three Excel files.

Participants import data, create a simple model, build core DAX measures and develop KPI cards, workforce-mix charts and interactive filters.

Creates: working PBIX dashboard + validated KPI logic
Case Lab 03 · Claude Cowork

Run a five-phase monthly HR review with a human gate at every handoff.

The workflow reconciles HR files, creates workforce and cost insights, reviews talent and learning, analyses employee voice and prepares a CHRO action pack.

Creates: CHRO review pack + action tracker + auditable workflow log
Case Lab 04 · HR Agent Studio

Configure role-specific Copilot agents and offline HR web tools.

Teams work with agents for reporting, data quality, policy Q&A, recruitment, L&D, feedback and cross-file analysis, then prototype tools such as an onboarding tracker or interview-kit builder.

Creates: approved agent instructions + starter prompts + implementation controls

PARTICIPANT DELIVERABLES

The programme ends with working assets, not attendance alone.

01

HR Prompt Library

Reusable prompts for reporting, recruitment, data validation, analytics and communication.

02

Recruitment Toolkit

JD structure, weighted criteria, CV comparison, interview guide and evaluation scorecard.

03

HR Analytics Pack

Validation rules, exception reporting, manpower-cost, payroll and attrition review prompts.

04

Seven Copilot Agents

Ready-to-configure instructions, knowledge-source placeholders and starter prompts.

05

Workflow Templates

Meeting actions, LMS effectiveness, engagement communication and management reporting.

06

30-Day Action Plan

Prioritised workflow, owner, data requirement, controls, implementation step and measure.

BEFORE, DURING AND AFTER

A programme shaped around your HR maturity, data and tool environment.

The curriculum is modular. Participant screening decides the depth, case mix and tools used for each HR role.

01

Pre-screening

Role, experience, AI comfort, tool access and priority workflow survey.

02

Maturity baseline

Current use, data readiness, governance controls and adoption barriers.

03

Custom design

Choose use cases, datasets, licences, level tracks and success measures.

04

Applied delivery

Hands-on cases, review gates, templates, agents and role-based outputs.

05

Activation review

30-day pilots, adoption evidence, time baseline and implementation roadmap.

AI COST ECONOMICS

Use deeper AI only where better reasoning changes the decision.

The programme teaches HR teams to separate typing tasks from thinking tasks, choose the right tool boundary and quantify whether an automation deserves implementation.

Baseline effortMinutes × frequency × people
AI-assisted effortRun time + human review
Quality controlExceptions caught + rework avoided
Tool costLicence + compute + implementation
Adoption valueUsage × time saved × control quality

Business case: annualised capacity value + avoided rework and risk − tool and implementation cost.

RESPONSIBLE AI FOR HR

Human judgement remains inside every sensitive decision.

Use approved enterprise locations for employee-level data.

Show source, period, row count and calculation behind material findings.

Keep unmatched records visible; never silently delete or correct source data.

Protect anonymity and avoid reporting findings from groups that are too small.

Recruitment, appraisal, disciplinary and separation decisions stay with authorised people.

AI FOR HR FAQs

Questions HR teams ask before starting.

Explore the programme by topic, from practical HR applications and responsible AI to customization, delivery and measurable outcomes.

Selected topic

Program & Audience FAQs

7 questions

The AI for HR program is designed for HR leaders, HR business partners, Talent Acquisition teams, HR Operations, Payroll and Compensation teams, Learning & Development professionals, Employee Engagement teams and HR Analytics professionals who want to apply AI to practical HR workflows.

BUILD YOUR HR AI PROGRAMME

Start with the workflows your HR team needs to improve now.

We will assess participant maturity, data readiness, tool access and business priorities, then configure the programme, case materials, deliverables and measurement plan.

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