AI Training for HR | Hire, onboard and support employees faster, with privacy built in
Faster hiring, onboarding and employee-lifecycle workflows. Designed and delivered by CA Dhaval Kodilkar.
Clients include Larsen & Toubro, Safaricom, Bajaj Finserv, Indian Oil, Galderma, Abbott, Lanxess, Bajaj Finance, VE Commercial Vehicles (Eicher), UPL, Marico, WPP Media, IndusInd Bank, KPMG, Income Tax Appellate Tribunal (ITAT), NPCI, Mayfair Insurance, Copy Cat Group, Ramco Group, HCG Group, Clutterbot.
AI training for HR teams teaches recruiters, HR business partners and L&D staff to use generative AI for job descriptions, screening, onboarding, policy drafting, learning content and attrition analysis. Every module includes privacy and fairness checks aligned with India's Digital Personal Data Protection Act 2023, because HR data is personal data.
Built for your team.
- Recruiters and talent acquisition
- HR business partners
- L&D and training teams
- HR operations and shared services
- CHROs and HR heads
- Group size
- 8 to 50 participants per cohort
- Prior knowledge
- None needed
Where the time goes today.
- Recruiters spend most of their time screening CVs rather than talking to candidates.
- Job descriptions and policies are inconsistent across business units.
- New joiners wait days for answers to routine policy questions.
- L&D content takes weeks to produce and is rarely updated.
- Attrition is reported after people leave, not predicted before.
6 modules, each with a hands-on lab.
- Module 1
AI in HR: privacy, fairness and the DPDP Act
Know what employee and candidate data can be used, how and with what consent.
Lab: Classify 15 HR tasks as safe, conditional or prohibited for AI.
- Module 2
Recruitment and screening
Write better JDs and build structured, bias-checked screening criteria.
Lab: Rewrite three JDs and create a scoring rubric.
- Module 3
Policy and communication drafting
Draft and simplify HR policies and announcements.
Lab: Turn a five-page policy into an FAQ for employees.
- Module 4
Onboarding and employee queries
Build an internal assistant that answers policy questions from approved documents.
Lab: Create a policy Q&A notebook from your handbook.
- Module 5
Learning and development
Design courses, quizzes and role-play scenarios quickly.
Lab: Build a 30-minute micro-course with assessment.
- Module 6
People analytics
Analyse engagement and attrition data to find early warning signs.
Lab: Identify attrition patterns in a sample HR data set.
What HR teams automate first.
| Workflow | Typical tool |
|---|---|
| Draft role-specific job descriptions with consistent levelling |  ChatGPTChatGPT |
| Create structured interview guides and scoring rubrics |  ClaudeClaude |
| Answer employee policy questions from the HR handbook |  NotebookLM (Gemini Notebook)NotebookLM |
| Write onboarding emails and 30-60-90 day plans for new joiners |  Microsoft CopilotMicrosoft Copilot |
| Build training modules and quizzes from existing material |  GeminiGemini |
| Summarise engagement survey comments by theme | ClaudeClaude |
| Analyse attrition data by team, tenure and manager |  ExcelExcel with Copilot |
| Draft performance review summaries from manager notes | Microsoft CopilotMicrosoft Copilot |
- ChatGPT
- Claude
- Microsoft Copilot
Copilot Studio- NotebookLM (Gemini Notebook)
- Gemini
- Excel
Choose the depth that fits.
| Format | Duration | Group size | Outcome | Typical deliverables |
|---|---|---|---|---|
| Executive briefing | 90 minutes to 2 hours | 4 to 25 | Shared understanding and priorities | Pre-read, oversight or priority list |
| Half-day workshop | 3 to 4 hours | Up to 40 | Core skills and 3 to 5 use cases | Prompt library, use case list |
| 1-day workshop | 6 to 7 hours | Up to 40 | Hands-on labs and 5 to 10 use cases | Prompt library, templates, 30/60/90-day plan |
| 2-day programme | 2 days | Up to 35 | Deeper labs, team-specific workflows | Templates, workflow designs, adoption plan |
| Multi-sprint programme | 4 to 8 weeks | Up to 30 | Use cases built and tested on live work | Working use cases, measured results |
| Train-the-trainer | 2 to 3 days | 6 to 15 | Internal champions who can run sessions | Trainer kit, slides, lab files |
Recent sessions.
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What your team keeps.
- 5 to 10 implementable use cases mapped to your workflows
- A prompt library for your team's tasks
- Workflow templates and checklists
- A one-page AI usage policy
- A 30/60/90-day implementation plan with owners
- Post-training Q&A support
AI training for HR: common questions.
Get a HR AI training proposal.
- Response within 1 business day
- Details used only to reply, never shared
- Trusted by teams at Larsen & Toubro, Safaricom, Bajaj Finserv