AI Governance Consulting Company in Montreal

QServices offers AI governance consulting to Montreal companies in AI research, pharma, aerospace, and gaming. We are not headquartered in Montreal. Our India-based team works on ET-overlapping hours, with roughly 3 hours of synchronous time each morning. QServices is a remote-first consultancy serving Canadian businesses.

What Montreal buyers typically need from AI Governance Consulting

Montreal sits at an unusual intersection for AI governance work. The city houses leading AI research institutions alongside heavily regulated industries in pharma and aerospace. That combination means governance requirements here tend to be more rigorous than in most North American markets.

Common project types for Montreal-area organizations:

• Quebec Law 25 compliance mapping: Law 25 (Bill 64) requires organizations to conduct privacy impact assessments, appoint a privacy officer, and document how automated decision-making systems process personal information. AI systems typically need explicit governance documentation to satisfy Commission d'accès à l'information (CAI) audits. CAI can levy fines up to 4% of worldwide turnover, which puts this in a different category from PIPEDA.
• HITL design for pharma clinical workflows: Health Canada requires traceability on AI-assisted clinical decisions. Human-in-the-loop checkpoints need to be designed so they don't become bottlenecks during trials or regulatory submissions.
• Audit trails for aerospace AI: Companies operating under Transport Canada and FAA requirements need version-controlled model artifacts, formal escalation paths, and documented change history. Governance here means an operational practice, not a paper exercise.
• French-language interface requirements: Quebec's Charter of the French Language (Bill 101) applies to software deployed to Quebec employees. If your AI system's governance interface is used by Quebec staff, that interface and its governance documentation must meet French language requirements.
• Evaluation pipelines for AI research spinouts: Montreal's AI research institutions (Mila, McGill, Université de Montréal) produce startups that need to move from research-grade to production-grade AI. The governance gap here is typically drift monitoring and evaluation pipeline setup.

How we work with Montreal clients

Our team is based in India. Montreal operates on Eastern Time (ET). In summer, the offset is 9.5 hours (UTC+5:30 vs UTC-4). In winter, it's 10.5 hours (UTC+5:30 vs UTC-5). That gap is real, and we manage it explicitly rather than hoping it won't matter.

We schedule synchronous calls during Montreal mornings, typically 8AM to 11AM ET, which is 5:30PM to 8:30PM IST for our team. We keep a standing weekly video call for project review and a mid-week async checkpoint via Teams or Slack. Code reviews and architecture decisions happen async with same-day turnaround on our working day.

For milestone reviews, we share recorded walkthroughs so your team can review on their schedule. For compliance-sensitive work, we maintain a shared decision log that your internal audit team can access at any time.

We do not offer on-site visits in Montreal. If a project requires in-person collaboration, we'll surface that in the scoping document rather than discovering it mid-engagement. Our team communicates in English. Deliverables are in English. If your organization needs French-language documentation under Bill 101, that is a scope item we'd call out explicitly during discovery.

Relevant work in similar markets

We don't have a published case study from a Montreal or Quebec client. That's the honest position.

The closest industry matches from our delivery history are regulated financial services and healthcare, where we've built HITL governance frameworks, audit logging pipelines, and evaluation harnesses for AI systems under compliance requirements. The governance architecture for pharma AI and aerospace AI follows similar patterns: a clear chain of accountability from model output to human decision, version-controlled artifacts, and a documented escalation path when confidence scores fall below threshold.

What we have not done: governed AI for Transport Canada or FAA safety-critical aerospace systems specifically. If that's your context, the engagement scope would include bringing in the relevant regulatory compliance expertise rather than assuming we already have it.

For our full AI governance and agent development services, see our services overview. For a detailed cost breakdown, see our AI governance consulting pricing page.

What AI Governance Consulting costs for a typical Montreal project

Engagements run USD $15,000 to $90,000 depending on scope. We invoice in USD. Montreal clients typically budget in CAD; at current exchange rates that range is approximately CAD $20,000 to $122,000, though we don't absorb currency fluctuation.

• Small scope (4–6 weeks, $15,000–$30,000 USD): Governance framework assessment for one AI workflow, HITL design, policy documentation. Typical for a startup or a single AI product within a larger organization.
• Medium scope (6–10 weeks, $30,000–$60,000 USD): Full governance program covering multiple workflows, Azure AI Foundry evaluation harness setup, Quebec Law 25 compliance mapping, and audit logging patterns across systems.
• Large scope (10–12 weeks, $60,000–$90,000 USD): Enterprise governance platform, multi-system audit trail, ongoing evaluation cadence, and compliance documentation package for CAI or internal auditors.

Add 15–25% for formal compliance review against a regulatory standard (Quebec Law 25, Health Canada, or similar). Add $5,000–$15,000 if the engagement requires building a production-grade evaluation harness from scratch.

How to start working with us

Starting an engagement takes three steps:

1. Discovery call (30–45 min): We discuss your AI system, your current governance gaps, and what a realistic scope looks like. No commitment required.
2. Scoping document: We send a written scope within 3–5 business days covering deliverables, timeline, cost, and any regulatory assumptions.
3. Project start: Once the scope is signed, we schedule an onboarding call and begin within 5 business days.

Use the form below to request a discovery call. We respond within one business day on ET hours.

Can you work with Montreal companies remotely?

Yes, and all of our client work runs this way. We have no Montreal office and no plans to open one. The engagement model is fully remote: weekly video calls on Montreal mornings, async updates via Teams or Slack, and documented deliverables at each milestone. If your project needs someone physically present, we are not the right vendor, and we'll say so in our first conversation.

On data residency under Quebec Law 25: we don't store client data on our systems. All processing happens within the client's infrastructure, typically their Azure environment. Governance artifacts, audit logs, and evaluation outputs are delivered there. If your Law 25 assessment requires a third-party audit, we can work alongside your chosen auditor but we do not provide CAI certification.