# Manager's Training Deployment Guide

## Objective

Help managers deploy AI governance training in a way that changes behavior rather than just satisfying a checkbox.

## Before training

- review current approved tool rules
- gather common team use cases
- identify the highest-risk workflows
- decide how questions and incidents will be escalated

## During training

Managers should emphasize:

- approved versus unapproved tools
- prohibited data examples
- what review means in this team's actual work
- when AI may be used and when it may not
- what to do when uncertain

## After training

- collect acknowledgement
- reinforce rules in live work
- correct behavior quickly and specifically
- document common misunderstandings
- schedule refresher session

## Manager talking points

- AI can help us work faster, but speed does not replace judgment.
- Good output still requires review.
- Convenience does not equal approval.
- Uncertainty should be escalated, not improvised.