AI for Managers: Lead Digital Adoption

Developing your own AI reflexes and mobilizing your team toward a responsible digital transformation.

You manage a team, and artificial intelligence is becoming increasingly integrated into work practices. This program allows you to both develop your own proficiency with tools like Microsoft Copilot and acquire the tools and methods to support your team through this digital transformation.

From prompting to AI-assisted decision-making, including privacy and governance issues, you will leave with a clear vision, practical habits, and the ability to mobilize your team around a responsible, value-added adoption of AI.

Is it for you ?

This program is designed for:
Managers, team leads, and project managers looking to integrate AI into their management practices and their team’s activities.
(For professionals without a supervisory role, please consult the AI at Work program.)

Prerequisite

No technical prerequisites required. Basic familiarity with digital tools is recommended.

What You'll Walk Away With

For participants (managers):

✓ Free up time from low-value tasks to focus on what requires your managerial judgment
✓ Make better decisions through AI-assisted analysis and synthesis
✓ Support and mobilize your team in the responsible adoption of AI
✓ Identify opportunities for optimization and innovation in your team's processes
✓ Establish a sustainable, ethical, and competitive digital culture within your organization

Training content

This program is structured around two complementary levels of development: your own mastery of artificial intelligence tools and your ability to guide their adoption within your team. The first six modules strengthen your individual skills from a management perspective; the seventh module is exclusively dedicated to your role as a digital leader.

1 Generative AI at Work: Understanding to Better Lead

A manager who understands AI well is better equipped to guide adoption within their team. This module provides the foundation to demystify generative AI, measure its impact on roles and functions, and begin exploring Microsoft Copilot.

How generative AI works, explained without jargon
Myths and realities: what AI can actually do in a professional context
Professional use cases and their value-creation potential
Impacts on jobs and roles
Introduction to Microsoft Copilot

2 Responsible AI: Establishing Organizational Guidelines

Using AI comes with responsibilities for both you and your team. This module equips you to understand the legal, ethical, and organizational issues related to AI and to establish a clear and responsible framework for its use.

AI biases and limitations
Personal information protection, privacy, and sensitive data management
Law 25 and the Quebec legal framework applicable to AI usage
Human accountability in supervising AI-generated output
Best practices and organizational usage policies

3 Critical Thinking and Vigilance: Evaluating AI Results

In a management context, validating information before using it to make decisions is mandatory. Here, you will strengthen your ability to analyze what AI produces, detect errors, and exercise your professional judgment.

Detecting errors and hallucinations in AI output
Methods for validating generated information
Critical analysis of content and recommendations produced by AI
Vigilance checklist for managers
Professional judgment and maintaining critical thinking in decision-making

4 Prompting: Mastering the Tool to Maximize Results

Efficiency with AI relies primarily on the quality of your requests. Acquire a method for crafting prompts adapted to various professional contexts: writing, analysis, synthesis, and meeting preparation.

The RCTCF method for structuring an effective prompt
Writing, summarizing, and analyzing documents with AI
Using Copilot Web in management contexts
Use cases specific to managers
Best practices for prompting based on task type and level of stakes

5 AI for Decision-Making: Solving Complex Problems

Use AI as a tool for strategic and operational reflection: defining a problem, exploring scenarios, synthesizing information, and supporting more informed decisions.

Formulating decision-making problems
Human-AI brainstorming to generate and filter options
Synthesis and analysis of complex data or documents
Decision support and scenario exploration
Optimizing your work methods in a management context

6 Advanced AI Uses: Gaining Mastery and Impact

Explore advanced Copilot features, light automation possibilities, and paths for team process optimization, supported by real-world cases.

Automating tasks with Power Automate (optional)
In-depth analysis and synthesis of complex information flows
Optimizing team processes through AI
Application to real cases from your management context

7 AI and Team Performance: Driving Adoption as a Manager

Develop the specific skills required for your role as a digital leader: identifying opportunities where AI can create value for your team, supporting change, overseeing usage, and leveraging AI to make better collective decisions.

Identifying opportunities to integrate AI into team activities
Mobilizing and driving AI adoption
Overseeing responsible usage within the team
Leveraging AI for decision-making
Facilitating team discussions on AI practices (clinics, real case studies, feedback sessions)

💡

Keep in Mind

This course includes one 45-minute e-learning module and four half-day group sessions (11:45 a.m.).
An approach based on experimentation and transfer to real-world work
Micro-learning to promote retention
Alternating between human reflection and AI utilization
Possibility of optional modules depending on maturity level

📌 Practical information

Our training sessions are offered in Montreal or Quebec City, in person or in a virtual classroom. Dates and locations are specified when you select your session below. If you have any questions, check out our FAQ.