AI Literacy Training for Canadian Teams

AI literacy training teaches employees when AI fits a task, how to brief it, what information is safe to share and how to verify results before work moves forward.

Paloren's AI literacy training teaches the thinking, not the interface. Learners practise giving clear instructions, checking results against sources and knowing when to ask a person instead of a tool.

The vocabulary stays connected to real work: prompts are instructions, context is available material and evaluation is checking against an agreed standard.

• Generation versus verified source retrieval
• Suggested action versus authorised action
• Task selection based on consequences and evidence

No coding knowledge is required. Sessions use everyday workplace scenarios - drafting an internal announcement, summarising a document, handling customer information - so decisions become concrete rather than theoretical.

Paloren prices AI literacy training as a workshop, at the published prices on paloren.ai. A half-day session starts from C$6,500 per cohort and a full day from C$10,700, for 6 to 16 people.

A department program runs from C$25,700 over 4 to 6 weeks. Prices are indicative until scoped. See AI workshops for teams for the parent format.

Yes - ISED and the Canada School of Public Service offer AI learning resources for public servants, and Innovation, Science and Economic Development Canada publishes AI guidance for businesses.

Federal resources include ISED's AI strategy materials and the Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems, which Canadian organisations can commit to.

The Treasury Board Directive on Automated Decision-Making sets literacy and accountability expectations for federal teams using automated systems.

• IPAC runs an AI Skills Training Series for Canadian public servants
• ECO Canada offers a free AI primer course
• Provincial Canada Job Grant funding can offset private training costs

Paloren's training complements these resources by turning policy into daily habits - the sorting, checking and escalation decisions employees actually make.

It can - Article 4 of the EU AI Act requires providers and deployers to ensure their staff have sufficient AI literacy, and it applies to Canadian organisations that place AI systems on the EU market or use AI there.

Article 4 of the EU AI Act, in force since February 2025, requires providers and deployers of AI systems to ensure a sufficient level of AI literacy among staff and others operating AI systems on their behalf.

Learners sort example tasks into suitable, needs-review and do-not-use categories under a supplied policy, check a generated summary against its source, then complete an independent task without facilitator prompting.

The agenda is deliberately simple, with mistakes made safe:

1. Task sorting - classify example tasks as suitable, needs-review or do-not-use under a supplied acceptable-use policy
2. Summary checking - compare a generated summary with its original source and find the omitted exception
3. Guided prompting - a worked example internal announcement with an audience and clear output format
4. Flawed output review - identify an unsupported claim in a deliberately flawed response
5. Independent task - choose a method and explain your checks without a facilitator leading each step

We match pace and breaks to the group's confidence. Cohorts are up to 25 people.

Illustrative agenda for a half-day session. Timings adjust to your team.

1. 9:00: Baseline exercise on a real task each learner brings from their own work.
2. 9:45: Briefing and instruction practice, covering clear instructions, audience and output format.
3. 10:45: Data safety and permissions, covering what information is safe to share under your rules.
4. 11:30: Verification and review, checking a generated summary against its source.
5. 12:00: Independent attempt and named reviewer, where each learner completes a task without facilitator prompting.

Employees learn to identify personal details, confidential business information and credentials before any hands-on practice, and we confirm approved accounts and restrictions first.

The practical question is what information may enter a tool. Learners practise recognising personal details, confidential business information and credentials, then apply your organisation's rules instead of guessing from a product name.

• We confirm approved accounts and restrictions before hands-on practice
• Worked examples let beginners make mistakes without experimenting on customer records
• Learners without tool access still analyse supplied outputs - distinguished from interactive practice

We also show how to report a concern, stop an unsuitable task and ask for help without turning uncertainty into blame. This aligns with obligations under PIPEDA and provincial privacy law such as Quebec's Law 25.

We assess judgement, not output polish: a learner should identify an unsuitable input, explain a limitation, check a claim and find the responsible reviewer.

The operating metric is independent task readiness at the end of the session. We compare a baseline scenario with a later independent exercise to see which concepts need another explanation.

A learner who has absorbed the material can:

• Identify an unsuitable input
• Explain a limitation of the tool
• Check a claim against a source
• Find the responsible reviewer or escalation route

Follow-up asks whether employees can apply your rules in ordinary work - and whether those rules are clear enough to use. Where gaps persist, we recommend next steps such as role-specific employee training or a readiness assessment.

We deliver onsite sessions in Toronto, Vancouver, Montreal, Calgary and Ottawa, and remotely across Canada, for sectors including finance, professional services, public sector and resources.

Paloren works with Canadian organisations from coast to coast. Onsite delivery is available in Toronto, Vancouver, Montreal, Calgary and Ottawa; remote delivery covers everywhere else, including Atlantic Canada and the territories.

Sectors where literacy gaps bite hardest:

• Financial services - Toronto and Montreal firms handling regulated client data
• Professional services - firms where AI-drafted work needs verification before client delivery
• Public sector - teams operating under the Directive on Automated Decision-Making
• Energy and resources - Calgary-based operations with sensitive commercial data

French-language delivery can be arranged for Quebec-based teams.

Start with a short scoping conversation: we assess your baseline, design the literacy pathway, run the session and follow up on independent task readiness.

Getting started is straightforward:

1. A scoping call to understand what your people already do with AI, what they avoid and where confidence is low
2. A short proposal covering format, cohort size, policy inputs needed and pricing in CAD
3. Delivery as a half-day workshop or shorter linked sessions
4. A follow-up on independent task readiness and the next blocker to clear

Explore the S4 Method to see how literacy fits the full journey from signal to scale, or review our broader corporate AI training options.