A PRACTICAL FIELD GUIDE FOR HR AND L&D AI Training Implementation Checklist Plan, deliver and reinforce AI training that employees can actually use at work. PLAN PRACTISE REINFORCE Identify real work needs Use realistic work tasks Turn learning into habits Created by Navin Budhwani | CorporateTrainerIndia.com Practical guidance for HR, L&D and business teams 

01 | START WITH THE WORK The workshop is not the finish line A familiar scenario for HR and L&D teams During the workshop Two weeks later The real opportunity Employees see impressive demos, try a few prompts and leave excited. Many return to old routines. They are unsure what tasks suit AI, what data is safe to use, or how to verify an answer. Training must connect tools to real tasks, safe-use rules, human judgement and followthrough. The goal is not to make everyone an AI expert. It is to help people use AI appropriately and responsibly at work. CorporateTrainerIndia.com | Practical resources for HR and L&D 2 

02 | THE IMPLEMENTATION PRINCIPLE Choose meaningful work before choosing tools Start small, practise safely, then measure what changes. 1 2 3 4 Choose Train Verify Reinforce Select a small number of meaningful work tasks. Practise those tasks using approved tools and safe sample data. Teach employees to evaluate, correct and validate outputs. Support workplace use and review evidence after training. Planning question: Which three tasks would make the biggest difference if employees could do them more effectively with AI? CorporateTrainerIndia.com | Practical resources for HR and L&D 3 

03 | BEFORE TRAINING Plan around real work and real constraints Use this checklist with HR, L&D, business leaders, IT and information security. Define the need Understand the audience Confirm guardrails • Name the business problem • Group people by role and confidence • Confirm approved AI tools • Identify repetitive or time-consuming tasks • Collect real work examples in advance • Explain what data must not be entered • Agree on 2 or 3 realistic outcomes • Check language, access and device needs • Define human review and approval needs • Record a simple baseline where possible • Decide whether departments need tailored examples • Share where employees can ask questions CorporateTrainerIndia.com | Practical resources for HR and L&D 4 

04 | DURING TRAINING Design practice that transfers to the job Demonstrations spark interest. Realistic practice builds judgement. Use realistic tasks Mirror the work employees actually do, using safe sample data. Show imperfect outputs Include an answer that is incomplete, inaccurate or unsuitable. Practise evaluation Ask participants to check facts, logic, tone and omissions. Make them do the work Give each participant a task to complete and improve. Keep humans accountable Explain when specialist judgement or formal approval is required. CorporateTrainerIndia.com | Practical resources for HR and L&D 5 

05 | A REPEATABLE WORKFLOW Teach employees a simple AI work cycle A useful output requires more than a well-written prompt. 01 02 03 04 05 DEFINE PROMPT EVALUATE REFINE APPLY Clarify task, context, audience and outcome. Give clear instructions and relevant, safe context. Check facts, assumptions, omissions and tone. Correct, revise and apply human judgement. Use appropriately, with review where needed. A polished AI response is not proof that it is accurate. CorporateTrainerIndia.com | Practical resources for HR and L&D 6 

06 | RESPONSIBLE USE Make safe use part of the workflow Teach clear boundaries without making responsible experimentation feel mysterious. Protect information Verify important claims Keep human judgement Follow organisational rules for personal, confidential and commercially sensitive data. Use safe sample data in training. Check facts, calculations, sources and assumptions before relying on or sharing outputs. Escalate high-impact, specialist or approvalsensitive decisions to the right people. The right question is not only “Can AI do this?” but also “Should we use it here, and how will we check the result?” CorporateTrainerIndia.com | Practical resources for HR and L&D 7 

07 | AFTER TRAINING Turn learning into workplace behaviour The workshop is the beginning of implementation, not the finish line. Within 1 week Each participant tries one suitable task and records what helped or blocked them. Weeks 2 to 3 Managers and L&D share examples, answer questions and reinforce safe-use expectations. By day 30 Review adoption, output quality, barriers and early evidence of improvement. Provide job aids, manager support, a place for questions and time to practise. CorporateTrainerIndia.com | Practical resources for HR and L&D 8 

08 | MEASUREMENT Measure application, not just attendance Start with a small pilot. Compare like-for-like tasks where possible. Confidence Application Can employees explain when and how to use AI? Have they tried the selected task at work? Quality Efficiency Is the output accurate and fit for purpose after review? Did the task become faster or require less rework? Responsible use Are organisational rules being followed? Do not promise productivity gains before you have measured them. CorporateTrainerIndia.com | Practical resources for HR and L&D 9 

09 | IMPLEMENTATION PLAN A simple 30-day plan for HR and L&D Use this as a starting point and adapt it to your organisation. BEFORE Choose tasks, audience, approved tools, guardrails and success measures. HR/L&D + business and IT TRAINING DAY Practise real scenarios, evaluate outputs and agree on one next action. Trainer + participants WEEK 1 Try one task at work and note what helped or blocked progress. Participants + managers WEEKS 2–3 Share examples, resolve questions and reinforce safe-use expectations. L&D + team leads DAY 30 Review adoption, output quality, barriers and early evidence. HR/L&D + sponsor A light process followed consistently is more useful than an elaborate plan no one uses. CorporateTrainerIndia.com | Practical resources for HR and L&D 10 

FINAL READINESS CHECK Are we ready to turn AI training into action? □ Can we name the work tasks this training should improve? □ Do employees know which tools and information are permitted? □ Have participants practised evaluating and correcting AI output? □ Does each participant know what to try next? □ Have we scheduled a follow-up and chosen how to review progress? Use AI where it helps. Use it responsibly. Keep people accountable. Navin Budhwani | CorporateTrainerIndia.com