trainedGet started

AI training + implementation for Canada

Get your organization trained for AI.

Train your people. Train your AI. Bring them together with workflows designed for how your organization actually works.

Get startedSee how Trained works

Your people

LeadersTeams + rolesSpecialists

Your AI

Knowledge + dataModels + agentsRules + evaluation

Your operations

Request AI drafts Person reviews System updates

Trained works on both sides of the system, then designs the workflow where they meet.

How Trained works

AI readiness is three problems, not one.

Most organizations train people or build AI systems, then wonder why neither changes the work. We do both, and design the operations where they meet.

01

Train your people

AI Training

Practical, role-specific training that helps teams use AI effectively, responsibly and in the context of their actual work.

Explore AI training
02

Train your AI

Model + Knowledge Training

Give AI the information, context, tools, permissions and evaluation it needs to understand your organization and do useful work.

Train your AI
03

Bring them together

AI Operations

Design workflows where people, agents, data, systems and governance work together reliably.

Explore AI operations

Better information

Better AI starts with better information.

AI cannot reliably understand an organization if its knowledge is scattered, contradictory, inaccessible or missing context. The model is only one layer of the system.

Trained helps structure the information layer AI depends on, so answers and actions are grounded in the right sources, respect the right permissions and can be traced back to where they came from.

Read: Better AI starts with better information
  1. 05AI that can be trusted

    Answers and actions grounded in the right organizational truth.

  2. 04Provenance + freshness

    Where an answer came from, and whether it is still current.

  3. 03Permissions

    Who and what can see each piece of information, carried through to AI.

  4. 02Entities + relationships

    Customers, products, policies and projects, and how they connect.

  5. 01Sources

    Documents, systems and data, with a clear view of which source is authoritative.

Built for Canada

Built for Canadian organizations.

Canadian privacy, governance and sovereignty considerations shape how AI should be trained, deployed and supervised. We treat them as part of good implementation, not as an afterthought or a sales tactic.

  • Privacy + governance

    Training and systems designed around how personal and confidential information is actually handled in your organization and jurisdiction.

  • Responsible AI + ethics

    Human oversight, accountability and correction built into the workflow, not left in a policy document.

  • Data residency + sovereignty

    Clear decisions about which workloads need Canadian hosting or control, and which do not. The right answer depends on the use case.

  • Canadian infrastructure + ecosystem

    Practical knowledge of Canadian-hosted, Canadian-controlled, hyperscaler and open-model options, and the tradeoffs between them.

AI built for Canada

How an engagement works

Start with the work, not the technology.

Every engagement is shaped around your organization. Some start with a leadership session, others with a single workflow. Most follow the same arc.

  1. Understand the work

    Roles, workflows, decisions and where AI is already showing up.

  2. Map the information + risks

    Sources, permissions, privacy, residency and accountability.

  3. Train the people and systems

    Role-specific training alongside knowledge, retrieval and evaluation.

  4. Put AI into the workflow

    Redesign the work with clear review, escalation and ownership.

  5. Evaluate + improve

    Measure quality and adoption, then adjust as models and data change.

Who Trained is for

For organizations ready to make AI part of the work.

Trained is built for Canadian businesses, professional services firms, regulated organizations and public institutions, from growing companies to large enterprises.

The best starting point is a CEO, operations leader, technology leader or people leader who can see that AI is already changing how work gets done, and wants it done well: useful, responsible and grounded in how the organization actually operates.

  • Leadership AI training
  • Organization-wide AI literacy
  • Internal knowledge assistants
  • AI in a specific workflow
  • AI governance in practice
  • Data residency decisions

Resources

Practical guidance for Canadian leaders.

All resources

What should AI do in your organization?

Tell us where you are today, what you are trying to improve, and where AI is already showing up. We will start with the work, not the technology.

Start a conversation