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# Agentic AI and AI security for Montreal and Quebec

Quebec has some of North America's strictest privacy rules, including a duty to tell people when a decision about them is made solely by automated processing. We help Montreal organisations deploy bilingual AI agents that respect Law 25 and keep data in Canada.

## Key facts
- **Served from:** Our global delivery team, with on-site delivery in Montreal
- **Deployment options:** AWS Canada (Central) region in Montreal; Google Cloud Montreal region; Microsoft Azure Canada East (Quebec City); on-premises stacks
- **Regulations we design for:** Quebec Law 25 (Act to modernize legislative provisions as regards the protection of personal information); Charter of the French Language; PIPEDA; AMF requirements for Quebec financial institutions

## What we deliver
- [Agentic AI development](https://www.nitronedge.com/services/agentic-ai/): Bilingual agents for Quebec organisations, tested in French and English.
- [AI governance](https://www.nitronedge.com/services/ai-governance/): Records of how each automated decision was made, so Law 25 requests can be answered.
- [Agentic AI for banks](https://www.nitronedge.com/regions/canada/banking/): Agents for Quebec credit unions, banks and insurers, hosted in Canada.
- [AI security](https://www.nitronedge.com/services/ai-security/): Prompt-injection testing and runtime guardrails for French-language agents.

## FAQ

### Do you have an office in Montreal?
We don't have a Montreal office. Delivery runs remotely from our global team, with on-site visits for key milestones and local partners where needed. Every enquiry gets a reply within 6 hours.

### What does Law 25 mean for AI agents?
If a decision about a person is made solely by automated processing, Law 25 requires you to tell them and let them ask for a human review. We design agents so material decisions keep a human approver and every decision can be explained.

### Can your agents work in French?
Yes. We build and test agents in French and English using your own documents and customer conversations.
