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Training

AI training for SMEs: decide, deploy, govern.

One- to three-hour modules that give your teams the bearings they're missing: what AI changes in your operations, your contracts and your obligations. À la carte or as a path, on your premises or online.

Request a training sessionSee sample paths
modules to choose from
13
per module
1 to 3 h
on site or online
FR · EN

The catalogue

Three tracks, one module per issue.

Each module stands alone and combines with the others. Every one ends with a practical tool your team can use the next day.

Strategy

Decide — for leadership and the board

S11 h 30 min

AI in SMEs: separating potential from noise

Led by Igor Frotier and Erwan Jonchères

Who it's for: Executives, partners, board members

What AI genuinely does well in an SME today, what it really costs and where it goes wrong. No jargon, built on concrete SME situations.

You leave with

  • Telling profitable use cases from gadgets
  • The visible and hidden costs of an AI project: licences, integration, staff time, exit
  • The three families of risk: legal, operational, reputational

Tool provided: Go / no-go grid for assessing an AI project

What next?

Put your project through the grid, with both experts. Initial consultation 

Request this module
S23 h

Workshop: choosing your first use cases

Led by Igor Frotier

Who it's for: Leadership team and key managers

A working session on your actual processes, not generic examples. We identify the tasks where AI belongs, weigh value, risk and feasibility, and select three use cases to develop.

You leave with

  • A map of your candidate processes
  • A value / risk / feasibility matrix completed in the session
  • Three prioritized use cases, with their prerequisites

Tool provided: Prioritization matrix and use-case sheet

What next?

Turn the selected use case into an action plan. Initial consultation 

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S31 h 30 min

AI governance: who decides, who answers?

Led by Igor Frotier and Erwan Jonchères

Who it's for: Leadership, board, IT and compliance leads

When an AI tool gets it wrong, who is accountable? We set up the roles, decision rules and register that keep you in control as uses multiply.

You leave with

  • The roles to assign: project owner, data owner, human reviewer
  • A register of the AI systems in use in the business
  • The decisions that must stay human, and how to document them

Tool provided: AI system register template

What next?

Entrust this role to an outside duo rather than creating a position. Hour bank — outsourced AI CTO/CLO 

Request this module
S43 h

Tabletop exercise: the AI incident

Led by Igor Frotier and Erwan Jonchères

Who it's for: Leadership, IT, communications, privacy officer

A data leak through an AI tool, erroneous content published, a decision challenged by a customer. We simulate the incident in real time and test your reflexes: who decides, who notifies whom, and how fast.

You leave with

  • Your response plan, tested under realistic conditions
  • Reporting obligations in the event of a confidentiality incident
  • The fixes to make, ranked by priority

Tool provided: Exercise report and revised response plan

What next?

Build incident handling into your AI usage rules. Workplace AI usage policy 

Request this module

Operations

Deploy — for managers, IT and teams

O12 h

Choosing an AI vendor

Led by Igor Frotier

Who it's for: Operations, IT, procurement

Impressive demos, vague commitments. We learn to compare vendors on what matters after signing: security, where data is hosted, usage-based costs, support and the ability to leave.

You leave with

  • The questions to ask before any demo
  • A critical reading of offers: usage costs, lock-in, reversibility
  • The requirements to carry into the tender or negotiation

Tool provided: AI vendor evaluation grid

What next?

Turn those requirements into commitments the vendor signs. Deployment contract 

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O22 h

From pilot to production

Led by Igor Frotier

Who it's for: Project leads, managers, IT

Many AI projects die in pilot, or never leave it. We cover how to set measurable success criteria, get teams to adopt the tool and decide in time: continue, adjust or stop.

You leave with

  • Quantified success and acceptance criteria
  • A pilot plan with milestones and decision points
  • The signs of a stalling project, and how to respond

Tool provided: Pilot plan canvas

What next?

Oversee the rollout with you, through to production. Hour bank — outsourced AI CTO/CLO 

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O31 h

Generative AI day to day: good habits

Led by Igor Frotier

Who it's for: All employees

Your employees already use generative AI tools, with or without your approval. One hour to use them better and safely: what can go in, what must never go in, how to check what comes out.

You leave with

  • The data that must never leave the business
  • Checking an output: errors, fabrications, bias
  • Writing effective prompts for everyday tasks

Tool provided: One-page quick reference to keep at every workstation

What next?

Put these rules in writing, in a policy people follow. Workplace AI usage policy 

Request this module
O42 h

AI agents: delegating without losing control

Led by Igor Frotier

Who it's for: Leadership, operations, IT

An AI agent no longer just suggests: it sends, orders, pays. We define what it may do alone, where a human must approve and how to keep a record of its decisions.

You leave with

  • The level of autonomy to grant, task by task
  • The human approval points you can't skip
  • Logging, spending caps and taking back control after an error

Tool provided: Agent autonomy matrix

What next?

Oversee an agent in production and rule on its edge cases. Hour bank — outsourced AI CTO/CLO 

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Compliance

Govern — contracts, data and legal risk

C12 h

Law 25 and AI: personal information in your tools

Led by Erwan Jonchères

Who it's for: Privacy officer, IT, HR

As soon as an AI tool processes personal information, Law 25 applies. We review the obligations triggered when you acquire, configure and use an AI system.

You leave with

  • When a privacy impact assessment (PIA) is required
  • Automated decisions: whom to inform, and how
  • Data hosted outside Québec: what to assess before the transfer

Tool provided: Law 25 checklist for an AI project

What next?

Apply these obligations to your tools and your teams. Workplace AI usage policy 

Request this module
C22 h

Reading an AI vendor contract

Led by Erwan Jonchères

Who it's for: Executives, procurement, in-house counsel

Non-negotiated terms, clauses on the use of your data, limitations of liability: we learn to spot, in an AI vendor contract, the clauses that shift risk from their side to yours.

You leave with

  • Use of your data to train the vendor's models
  • Ownership of outputs, confidentiality and security
  • Liability, warranties, termination and data recovery

Tool provided: Critical clause reading grid

What next?

Already signed? Have the agreement audited and prepare to renegotiate. Audit of an existing AI contract 

Request this module
C31 h 30 min

Intellectual property and AI-generated content

Led by Erwan Jonchères

Who it's for: Marketing, communications, creative, product development

Text, images, code, voice: who owns what AI produces, and what do you risk by publishing it? The bearings for creating with AI without exposing yourself.

You leave with

  • The still-uncertain protection of generated content
  • Infringement risk and misuse of likeness or voice
  • What to require from your agencies and freelancers

Tool provided: Pre-publication checklist

What next?

Set your rules for AI-assisted creation and publishing. Workplace AI usage policy 

Request this module
C42 h

AI and human resources

Led by Erwan Jonchères

Who it's for: Human resources, managers

CV screening, interview analysis, performance tracking: AI slips into HR through the side door. We map the risks of discrimination, excessive monitoring and automated decision-making.

You leave with

  • Bias and discrimination in automated candidate screening
  • The limits of employee monitoring
  • Informing candidates and employees, and guaranteeing human review

Tool provided: Questionnaire for HR tool vendors

What next?

Assess the HR tool you use or are considering. Initial consultation 

Request this module
C51 h 30 min

Marketing, data and AI

Led by Erwan Jonchères

Who it's for: Marketing, sales, customer service

Personalization, profiling, chatbots, generated content: marketing is AI's first playing field, and the most exposed. We cover what Law 25 and advertising rules require.

You leave with

  • Profiling: what must be disclosed, and turned off by default
  • Transparency for chatbots and generated content
  • Overseeing an agency that uses AI on your behalf

Tool provided: Checklist for AI-assisted campaigns

What next?

Review your practices and those of your service providers. Initial consultation 

Request this module

Sample paths

Modules that combine.

Three common combinations, to be adjusted to your situation. A path can be delivered in one session or spread over several weeks.

Leadership team

For executives who want a framework before the first projects.

  1. S1AI in SMEs: separating potential from noise1 h 30 min
  2. S3AI governance: who decides, who answers?1 h 30 min

Total duration: 3 h

First deployment

For the team choosing a vendor and launching a pilot.

  1. O1Choosing an AI vendor2 h
  2. C2Reading an AI vendor contract2 h
  3. O2From pilot to production2 h

Total duration: 6 h

Usage under control

For businesses whose employees already use AI.

  1. O3Generative AI day to day: good habits1 h
  2. C1Law 25 and AI: personal information in your tools2 h
  3. C3Intellectual property and AI-generated content1 h 30 min

Total duration: 4 h 30 min

The trainers

Two trainers, each on home ground.

Compliance modules are led by a lawyer, operations modules by a project delivery specialist. Strategy modules, which touch on both, are delivered as a duo.

Igor Frotier

Igor Frotier

Delivery & process

Operations · strategy workshops

A specialist in project delivery and process optimization, Igor leads the operations modules: choosing a vendor, pilot projects, team adoption, AI agents. The sessions start from your actual processes, not generic examples.

Leads modules

LinkedIn
EJ

Erwan Jonchères

Lawyer · Founding partner of Satoshi Legal

Compliance · technology law

A member of the Québec Bar since 2018, founding partner of Satoshi Legal and holder of an LL.M. in technology law (Université de Montréal), Erwan leads the compliance modules: Law 25, AI vendor contracts, intellectual property, human resources and marketing.

Leads modules

satoshi.legal

Format

How it works

For your teams only

Delivered in-house to closed groups. Examples are tailored to your sector and the tools you use.

On your premises or online

In person in Greater Montréal, by videoconference everywhere else.

In French or English

Every module is offered in both languages.

Tools, not just slides

Every module comes with a practical tool — grid, template or checklist — ready to use the next day.

What comes next

Training gives you the map. We can also travel the road with you.

Each module ends with the logical next step for your business. When it's time to apply what you learned — negotiate that contract, draft that policy, oversee that rollout — the duo who trained you already knows your context.

  1. 01

    Train

    Your teams gain a shared vocabulary and the right bearings.

  2. 02

    Assess

    A free 15-minute exploratory call to situate your project.

  3. 03

    Support

    Consultation, contract, policy or oversight: the support that fits your need.

Free exploratory call (15 min)

Frequently asked questions

How much does a training session cost?

Pricing depends on the module, the format and the number of participants. We send you a written proposal after a short conversation about your needs.

Do participants need technical knowledge?

No. The modules are designed for executives, managers and employees, not specialists. Technical concepts are explained as needed.

Can the content be tailored?

Yes. We adjust the examples, exercises and module order to your sector, your tools and your teams' questions.

Does training replace advice on our situation?

No. Training conveys general guidance and tools; it helps you ask the right questions. Analyzing your particular case is a separate engagement, agreed after the exploratory call.

Training sessions provide general information and practical tools. They do not constitute legal advice on any particular situation.

Which module for your teams?

Tell us who you want to train and on what. We'll propose a module or a path that fits.

Request a training session