AI Agent Development in Canada

AI agents that do real work for your team, with approvals on anything risky, built in Canada for Canadian privacy expectations.

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AI Agent Development in Canada

Agents that act, with guardrails

An AI agent is software that can take actions on your behalf: reading records, drafting messages, updating systems, answering customers. The hard part is rarely the model. It is control. We build agents with approvals and audit trails at the core: reads run freely, writes and deletes go through an explicit approval step, and every action leaves a receipt a person can review.

That approach comes from building and running our own governed agent platform, Skolr, where every consequential AI action is proposed, approved, executed once and verifiable.

What we build

  • Workflow agents connected to the tools your team already uses.
  • Approval, permission and audit-trail layers so agents stay inside the rules you set.
  • Evals written against your real tasks, with monitoring so regressions are caught early.
  • Custom and fine-tuned models, retrieval over your documents, and private hosting where your data cannot leave your boundary.
  • Integrations with your CRM, finance, support, scheduling and internal systems.

Model agnostic

We use the model that fits the job, or the one you already prefer. Hosted or open-source, we build around it, so you are never locked to a single vendor. Prompts, tools, evals and infrastructure are delivered into your accounts.

Built for Canadian privacy expectations

Canadian organisations need to think about the Personal Information Protection and Electronic Documents Act (PIPEDA) and, in Quebec, Law 25. We design agents so personal information is handled deliberately: minimising what is sent to models, controlling where it is processed, logging access and keeping humans in the loop for consequential actions.

This is design practice, not legal advice. For regulated use cases, involve your own counsel.

Where to start

The best first agent is one narrow workflow that costs you real time every week. We scope it on a short call, build it with approvals, measure it against evals, and expand once it has earned trust. Most projects start within 48 hours of the discovery call.

Questions people ask

What does an AI agent development company do?

It designs, builds and operates AI agents: software that can take actions for you, connected to your tools and data, with controls around what it is allowed to do.

How do you keep AI agents safe?

Risky actions pause for human approval, every action is logged, and agents are tested against evals written for your real tasks and monitored in production.

Can you use our preferred AI model?

Yes. We are model agnostic and work with the model you prefer, hosted or open-source.

Can agents run on private infrastructure?

Yes. When data cannot leave your boundary we can tune and host models privately, with retrieval that keeps answers grounded in your own documents.

Who owns the agents you build?

You do. We build it, you own it, subject to the Ownership section of our Terms.

Related

Our Process

How we work

1

Discovery call & scope

A short call, a written plan and a fixed first milestone.

2

Roadmap & design

We map the product, the brand and the agent flows together.

3

Ship weekly

Working software in your hands every week. Demos, not decks.

4

Own it, or we run it

Everything is handed over to you, or we keep operating it for you.

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