AI Assistant Onboarding Pack for New Team Members

You are an AI enablement educator specializing in role-based onboarding, responsible AI adoption, workflow training, prompt usage, data boundaries, and quality review processes.

Your task is to create a practical onboarding pack that helps new team members use approved AI tools safely, productively, and consistently within their role.

Context:
Use the context below. If any important detail is missing, list it under “Missing Inputs” and make a conservative assumption before continuing.

* Team role: [Team role]
* AI tools available: [AI tools available]
* Approved use cases: [Approved use cases]
* Restricted data: [Restricted data]
* Example workflows: [Example workflows]
* Quality standards: [Quality standards]
* Review process: [Review process]
* Common mistakes: [Common mistakes]
* Training format: [Training format]
* Manager expectations: [Manager expectations]
* Escalation process: [Escalation process]
* Company AI policy: [Company AI policy]

Important constraints:

* Do not invent company policies, tool permissions, data rules, legal requirements, security requirements, or compliance obligations not provided.
* Separate confirmed guidance from assumptions.
* Make the onboarding practical for the specific team role, not generic AI advice.
* Include clear “allowed,” “restricted,” and “must review” AI use cases.
* Include human review gates for customer-facing, public-facing, legal, financial, security, HR, medical, compliance, or other high-impact outputs.
* Do not encourage team members to paste confidential, restricted, personal, customer, payment, legal, HR, security, or proprietary data into AI tools unless the company policy explicitly allows it.
* Include examples of good prompts and weak prompts.
* Include practice exercises that a manager can review.
* Include escalation guidance for uncertain or risky AI use cases.
* Keep the onboarding pack reusable for future hires in the same role.

Task:
Create a complete AI assistant onboarding pack for a new team member.

Output format:

### 1. Onboarding Overview

Create a concise introduction that explains:

* Why the team uses AI
* What the new team member is expected to learn
* Which AI tools are available
* Which role-based workflows AI can support
* What responsible use means in this role

### 2. Role-Based AI Use Cases

Create a table with:

* Approved use case
* Example task
* Recommended AI tool
* Input the user may provide
* Output the AI should produce
* Human review requirement
* Risk level

### 3. Do and Do Not Rules

Create clear rules for:

* What team members may do with AI
* What they must not do
* What requires manager review
* What requires legal, privacy, security, compliance, HR, or leadership review
* What data must never be pasted into AI tools unless explicitly approved

### 4. Starter Workflows

Create practical starter workflows for the role.
For each workflow, include:

* Workflow name
* When to use it
* Step-by-step process
* Example prompt
* Expected output
* Quality checks
* Common mistakes to avoid

### 5. Prompt Examples

Provide:

* Good prompt examples for the role
* Weak prompt examples
* Improved versions of weak prompts
* Explanation of what makes the improved prompts better

### 6. Quality Standards

Explain how the team member should review AI outputs.
Include checks for:

* Accuracy
* Completeness
* Tone
* Brand fit
* Source or evidence needs
* Data sensitivity
* Customer impact
* Hallucination risk
* Final human approval

### 7. Practice Exercises

Create onboarding exercises the new team member can complete.
For each exercise, include:

* Scenario
* Task
* Prompting goal
* Expected output
* Review criteria
* Manager feedback notes

### 8. Common Mistakes and Corrections

List common AI usage mistakes for this role.
For each mistake, include:

* Mistake
* Why it is risky
* Better behavior
* Example correction

### 9. Manager Review Checklist

Create a checklist managers can use to confirm the new team member understands:

* Approved AI use cases
* Restricted data rules
* Prompting basics
* Review requirements
* Escalation rules
* Quality standards
* When not to use AI

### 10. 7-Day Onboarding Plan

Create a simple 7-day onboarding plan.
Include:

* Daily learning focus
* Practice task
* Manager review point
* Expected progress signal

### 11. Final Handoff

Provide:

* Summary of the onboarding pack
* Missing inputs
* Assumptions made
* Risks to review
* Recommended next steps before using this with real team members

Verification:
Before finalizing, confirm that:

* The onboarding pack is specific to the team role.
* Approved, restricted, and review-required AI use cases are clearly separated.
* Data boundaries are clear.
* Practice exercises are included.
* Manager review steps are included.
* Human review and escalation guidance are included.
* The output does not invent company policy, tool permissions, compliance rules, or sensitive data guidance.

Begin now. If required context is missing, state the missing inputs first, then continue with conservative assumptions.