AI Training for Executives and Boards
AI Training & Workshops

AI Training for Executives and Boards

Executive AI training gives leaders the working knowledge to fund, govern and question AI projects: what the tools do well, where they fail, which Canadian rules apply and how to judge a vendor pitch.

In short

  • Format: three half-day sessions over two to three weeks, or one full day for an offsite or board retreat. In person in Ottawa or by video; English or French.
  • Hands-on: leaders use ChatGPT, Microsoft Copilot and Claude on their own real tasks, then review the output critically.
  • Covers the decisions leaders own: where AI fits, what it costs, which risks to govern, and how to read vendor proposals.
  • Canadian context: PIPEDA, Quebec Law 25, Ontario's Bill 194 framework for public-sector bodies and the federal Directive on Automated Decision-Making, with sources.
  • Priced after a 30-minute call by group size and format. For a quick paid start, the 90-minute AI Readiness Review ($490) works as a leadership session.

Your situation

Leaders are asked to approve AI budgets, sign AI policies and answer board questions about AI, often before they have used the tools on real work. Typical requests:

  • A board or council wants an AI position. Directors need a shared baseline before approving a strategy.
  • The leadership team disagrees. Some want to buy tools now; some want to wait. Nobody has the same facts.
  • Vendor proposals pile up. Every supplier now sells "AI", and leaders need a way to judge the claims.
  • Staff use AI without rules. Leaders need to decide what is allowed before writing a policy.

What the program covers

Session 1. What AI does today. Hands-on with ChatGPT, Microsoft Copilot and Claude on each participant's real tasks. Where the tools save hours, where they produce confident errors, and how to check output.

Session 2. Risk and governance. Privacy and confidentiality, accuracy, security, vendor dependency and workforce impact. The Canadian rules that apply to your organization, from PIPEDA and Quebec Law 25 to public-sector rules. Who owns which decision.

Session 3. Funding and leading AI work. How to rank use cases, read a vendor proposal, set a budget and measure results. How to communicate the change to staff.

The one-day format covers the same three blocks in a single day.

Questions leaders learn to ask about any AI proposal

  • Which task does it change, for whom, and how is the result measured?
  • What data does it use, where is that data stored and processed, and under which contract?
  • What happens when the output is wrong, and who reviews it?
  • What does it cost over 12 months, including licences, usage and staff time?
  • Which Canadian rules apply, for example Quebec Law 25 for automated decisions?
  • How do we stop or switch vendors if it underdelivers?

Format and logistics

ItemDetail
FormatThree half-days (about 3.5 hours each) or one full day
DeliveryIn person in Ottawa, on site elsewhere in Canada, or by video
LanguageEnglish or French
ParticipantsLeadership team, board or council; content adjusted to the group
ToolsChatGPT, Microsoft Copilot, Claude; your licensed tools where available

How long it takes

In our experience, preparation usually takes one to two weeks: a short call with the sponsor, a review of the organization's current AI use and adjustment of examples. Sessions run over two to three weeks. It depends on leaders' calendars and on whether a board meeting sets a deadline.

What it costs

Executive training is quoted after a 30-minute call, based on group size, format and location. If you want a fixed-price first step, the AI Readiness Review costs $490 CAD + HST and includes a 90-minute working session with the leadership team. All fixed packages are on the pricing page.

Why Remolda for executive AI training

  1. Their own tasks, live. Every exercise uses work the participants actually do.
  2. Sources for every rule. Canadian regulatory points come with the official source.
  3. Leads to decisions. The program ends with a use-case shortlist and governance roles, ready for an AI use policy.
  4. Bilingual. English or French delivery.
  5. One partner for the next step. Remolda can run the readiness work and the first pilot.

How the work runs

Training is the Empower step of the Remolda Cycle (Audit → Strategy → Implement → Empower → Evolve).

  1. Call. 30 minutes with the sponsor: group, goals, format.
  2. Preparation. Examples and exercises built from your organization's work.
  3. Sessions. Hands-on, discussion-led.
  4. Follow-up. Materials and a use-case shortlist.
  5. Next step. Staff training on Copilot and ChatGPT, a policy or a first pilot.

Frequently asked questions

What does an executive AI training cover?

Three blocks: what current AI tools can and cannot do on real leadership tasks, the risks leaders must govern (privacy, accuracy, security, vendor dependency, workforce impact), and how to choose, fund and measure AI projects.

How long is the executive AI workshop?

Three half-day sessions of about 3.5 hours over two to three weeks, or one full day. The split format leaves time to try the tools between sessions.

How much does executive AI training cost?

It is quoted after a 30-minute call, based on group size, format and preparation. If you want a fixed-price first step, the AI Readiness Review costs $490 CAD + HST and includes a 90-minute session with the leadership team.

Do participants need technical knowledge?

A laptop and access to the tools are enough. Everyone works with the tools on tasks from their own role: a board memo, a budget variance explanation, a policy draft, a stakeholder email.

Can the training be tailored to a board or a municipal council?

Yes. For boards and councils we focus on oversight: the questions to ask management about AI, risk appetite, reporting and the public-sector rules that apply in Ontario and federally.

Is the training available in French?

Yes. Sessions run in English or French, and materials are provided in the language of the session.

What do leaders leave with?

A shortlist of use cases for their organization, a set of questions for vendor pitches, a draft of the governance roles they need, and access to the materials used in the sessions.

Sources

  1. Treasury Board of Canada Secretariat — Directive on Automated Decision-Making
  2. LégisQuébec — Act respecting the protection of personal information in the private sector (s. 12.1)
  3. Legislative Assembly of Ontario — Bill 194, Strengthening Cyber Security and Building Trust in the Public Sector Act, 2024
  4. Office of the Privacy Commissioner of Canada — Principles for responsible, trustworthy and privacy-protective generative AI technologies

Facts checked:

Approach phases

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