Learn together, in the room
Live instruction makes questions visible, lets the trainer correct misunderstandings immediately and gives colleagues a shared way to work.
On-site across Ontario
In-Person AI Employee Training
Bring practical AI instruction into the room where your employees actually work. JimmyAI builds the session around approved tools, real roles and the decisions staff make every day.
Who it is for
Match the learning to the people in the room
- Ontario employers introducing AI at work
- Teams with uneven confidence or informal AI use
- Leaders who want consistent safety and verification habits
Capabilities employees build
01
A repeatable prompt framework
02
Clear boundaries for confidential information
03
A practical process for checking AI output
04
Role-based exercises employees can reuse
Core instruction
A practical foundation for workplace use
Practice with relevant tasks
Employees work through communication, research, summarization and planning exercises that match their responsibilities.
Leave with safe habits
Every session reinforces privacy boundaries, source checking, human approval and responsible use.
Why this training is different
The workplace challenge behind the session
A recording can show a polished result. It cannot notice when an employee has used the wrong information, misunderstood a limitation or needs an example from a different role. Face-to-face training makes those moments part of the learning.
01
Rebuild a vague request
- Situation
- An employee asks for a document without naming the reader, purpose or constraints.
- In the room
- The group adds context, an example and a defined output format.
- Quality check
- Participants identify what still requires workplace knowledge.
02
Challenge a confident answer
- Situation
- A response sounds certain but gives no dependable source for a key claim.
- In the room
- Employees separate facts to verify from wording they can safely edit.
- Quality check
- Each material claim is supported or removed.
03
Redesign a sensitive task
- Situation
- A useful workflow would normally contain employee, customer or contract details.
- In the room
- Participants use fictional, public or minimized information instead.
- Quality check
- The team identifies the approved tool and decision owner.
How the learning progresses
A deliberate path from explanation to accountable use
Align
Establish approved tools, useful tasks and information boundaries.
Demonstrate
Show both a useful result and a plausible failure.
Practise
Complete role-relevant exercises with live coaching.
Review
Turn lessons into repeatable checks and questions.
Decisions to settle
- Which tools and account types employees may use
- What information must stay out of prompts
- Which outputs require sources or approval
- Where employees go when a use case is unclear
Prepare for a useful session
- Choose two or three representative roles
- Bring the current AI policy if one exists
- Identify approved tools and accounts
- Describe common tasks without confidential details
Continue planning
Choose the next detail your organization needs
Training at your workplace
Bring practical AI training to your Ontario team.
Tell JimmyAI about your team, workplace and learning goals.