AI Agent Development Company in Montreal

QServices is a remote-first consultancy serving Montreal businesses in AI research, aerospace, pharma, and gaming. We are not based in Montreal, but we work with Quebec clients on AI agent development with four to six hours of daily ET overlap.

What Montreal buyers typically need from AI agent development

Montreal's economy spans industries with distinct AI automation requirements. Here are the project types we see most often from Quebec clients and organizations with comparable profiles:

• Pharma and life sciences: Document processing agents that extract structured data from regulatory filings and research reports, with human review gates before data moves downstream.
• Aerospace: Agents that monitor maintenance records, flag anomalies in sensor data, and route exceptions to the right technician with a full auditable trail.
• Gaming: Player support automation, content moderation pipelines, and internal QA agents that classify bug reports and assign them to the correct team.
• AI research organizations: Workflow agents that connect model evaluation pipelines, manage experiment tracking, and summarize findings for non-technical stakeholders.

Quebec Law 25, enforced by the Commission d'accès à l'information, applies to any organization processing personal data in the province. It requires documented decision logic, human override capabilities, and support for the right to correction and deletion. Our Human-in-the-Loop (HITL) governance model addresses this directly: every agent we ship includes an override mechanism and a complete audit log.

If your project requires French-language interfaces under Quebec's Charter of the French Language, flag that in your first call and we will build it into the scope.

How we work with Montreal clients

Our team is based in India and works fully remote. For Montreal clients in the Eastern Time zone, we maintain four to six hours of daily overlap, typically 9 AM to 1 PM ET, which covers standups, demos, and live troubleshooting without either party working outside normal business hours.

A standard engagement looks like this:

• Weekly syncs: 30-minute standups via Microsoft Teams or Slack. We send a written summary the same day.
• Sprint demos: Every two weeks, a live walkthrough of what was built. You test before we move forward.
• Async updates: Daily progress notes in your shared channel. No ambiguity about where things stand.
• Code reviews: All work in a shared GitHub or Azure DevOps repository. Your team can review every pull request.
• On-site visits: Available for major milestone reviews when needed, though most clients run entirely remote.

We do not have a physical office in Montreal. We say this plainly because transparency about the remote model builds more trust than vague language about local presence. What matters is whether the work arrives on time at the quality level you need, and we build our process around making that verifiable.

Relevant work in similar markets

We have not yet completed a project for a Montreal-based client. The two case studies below are from adjacent sectors, financial services and SaaS, but they share the core requirement you would have in pharma or aerospace: AI-powered workflows where a human must be able to review and override any automated decision.

For Melegacy, an investment management and legacy planning platform, we built a Microsoft Copilot Studio agent that pulls Nasdaq historical data, generates ML-powered stock predictions, and manages legacy sharing with nominees and charities. Every recommendation was explainable and reviewable by the end user before any action was taken.

For an IT services company, we built an AI project management agent on Azure AI Foundry that captures meeting transcripts, creates Azure DevOps backlog items with story point assignments, and generates real-time Power BI sprint dashboards, replacing roughly four hours of manual work per sprint cycle per team.

For more on our work, see our services overview. If your project involves regulated personal data, common in Montreal's pharma and aerospace sectors, see our AI agent development for healthcare page for similar compliance architecture patterns.

What AI agent development costs for a typical Montreal project

We quote in USD. Montreal clients convert at the current CAD/USD rate. We agree on a fixed project fee after scoping, so there are no variable-hour surprises.

Typical project brackets:

• Small scope (USD 15,000 to 40,000): A single-purpose agent, such as document classification, support triage, or meeting summarization, with one to two system integrations. Timeline: 6 to 8 weeks.
• Medium scope (USD 40,000 to 85,000): A multi-step agent with HITL checkpoints, three or more integrations, and a production-grade evaluation harness. Timeline: 10 to 14 weeks.
• Large scope (USD 85,000 and above): An agent platform with multiple interconnected workflows, enterprise security controls, and ongoing optimization. Timeline: 14 or more weeks.

Quebec Law 25 compliance documentation adds roughly 15 to 20 percent to the scoping and documentation phase. Each non-trivial system integration adds USD 3,000 to 12,000. For a full breakdown, see our AI agent development pricing guide.

How to start working with us

Three steps from first contact to project start:

1. Discovery call (30 minutes): You describe the workflow you want to automate. We ask about your current tools, data sources, and any Quebec compliance requirements. No sales pitch.
2. Scoping document: We send a written scope within five business days covering what we build, what is out of scope, the timeline, and a fixed-fee quote.
3. Project start: Once you approve the scope, we configure the shared workspace and begin the first sprint within one week.

Use the form below to book a discovery call.

Can you work with Montreal companies remotely?

Yes. All our engagements are remote. For Montreal, that means four to six hours of daily overlap on Eastern Time, which is enough for standups, sprint demos, and live troubleshooting without schedule conflicts on either side.

We use Microsoft Teams or Slack for communication and give you full access to the codebase in your version control system. For data residency under Quebec Law 25, we configure Azure Canada Central or Canada East for all storage and compute when required. No data moves outside those regions without your explicit approval.

If French-language interface requirements apply under the Charter of the French Language, raise that in the discovery call and we include it in the scope and quote.