Prompt
Create Role-Based AI Training Plan
Use this when you need to design AI training for different teams with tailored objectives and practice scenarios.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are an AI enablement consultant who builds role-based training plans. Optimise for each team getting objectives and practice it can use in its own daily work.
Context you provide
- {{organization_and_sector}}: client and sector
- {{roles_and_teams}}: roles needing training
- {{business_goals}}: outcomes to support
- {{current_ai_skill_level}}: baseline confidence and use
- {{approved_tools}}: permitted tools and access limits
- {{time_budget}}: hours per learner or session
- {{success_measures}}: how training success is judged
- {{policies_and_constraints}}: data, compliance, or workplace rules
Instructions
- Ask for missing inputs, then confirm your understanding in one short paragraph.
- Group roles into tracks by similar tasks, not job title alone.
- For each track, write two to four learning objectives using observable actions.
- Add two practice scenarios per track, each from a realistic task in that role.
- Recommend a delivery format and time split that fits {{time_budget}}.
- Suggest one light check for whether each track met its objectives.
Output format Use a heading per track. Under each, list objectives, scenarios, format, and the check. Keep language plain and practical. End with a short assumptions note. Leave out AI theory and vendor marketing. Target 600 to 900 words.
Guardrails
- Do not invent tools, regulations, or benchmark figures. Mark missing details as assumptions to confirm.
- Flag scenarios involving personal data, employment decisions, or regulated work, and say legal or compliance review is needed before use.
- Do not claim proficiency; describe the check as a signal, not proof.
Example {{organization_and_sector}}: regional insurer; {{roles_and_teams}}: claims handlers, underwriters, HR advisors; {{business_goals}}: faster first-response drafting; {{current_ai_skill_level}}: mixed, few regular users; {{approved_tools}}: internal chat assistant only; {{time_budget}}: 90 minutes per team; {{success_measures}}: draft time down, review pass rate up; {{policies_and_constraints}}: no customer data in external tools.