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AI AutomationPractical AI for Canadian operations: bilingual EN/FR chatbots that serve Quebec properly, workflow automation that respects CASL and PIPEDA, and integrations with the tools you already use — scoped honestly, quoted in CAD.
Canada is a serious AI market — Montreal's Mila institute anchors one of the world's leading AI research clusters. Canadian buyers are AI-literate, which means chatbots that hallucinate and automation that spams will be judged harshly. We build AI that is useful, bounded and honest about what it is.
Our automation work covers bilingual customer chatbots, lead qualification, document processing, CRM workflows and internal assistants — each scoped to a real operational pain, each with human handoff where judgement matters.
Canadian compliance is designed in: CASL consent rules for any automated outreach, PIPEDA-aware data handling for anything touching personal information, and French-language capability wherever Quebec customers are involved.
EN/FR customer assistants trained on your content, with human handoff.
AI triage that routes serious Canadian prospects to sales and nurtures the rest.
Connecting CRM, email, calendars and operations to remove manual steps.
Extraction and routing for quotes, applications and onboarding paperwork.
Grounded assistants over your own knowledge base for staff.
Automated sequences built on consent-first lists and documented opt-ins.
Pipelines, follow-ups and reporting automated inside your CRM.
Honest assessment of where AI helps your operation — and where it does not.
We find the workflows where automation pays — and rule out the ones where it will not.
Conversation flows, data handling and human-handoff points, documented.
Chatbot or workflow built against your systems and content.
CASL, PIPEDA and French-language requirements verified before launch.
Limited rollout with real users and measured outcomes.
Full deployment, monitoring and iteration.
Montreal sets the bar. With Mila and a deep AI research community, Quebec's tech audience knows what good AI looks like — and what a demo held together with prompts looks like. Our builds are engineered systems with evaluation, guardrails and fallback behaviour, not wrappers.
Bilingual is non-negotiable for customer-facing AI. A chatbot that serves Quebec must handle French fluently — including Quebec idiom — and switch languages gracefully mid-conversation. We test both languages with native speakers before launch.
CASL applies to automation too. AI-driven outreach, follow-up sequences and re-engagement flows all sit under Canada's anti-spam law. Every automated touchpoint we build runs on provable consent with working unsubscribe — the $10 million penalties apply to robots as well as humans.
We say no when AI is the wrong answer. Some workflows need human judgement, some data is too sensitive, some problems are process problems. The readiness audit exists to find those before money is spent.
Related services: web development Canada for the platforms AI plugs into, app development Canada for in-app assistants, and digital marketing agency Canada for the wider growth plan. Start at the Canada hub.
Yes — built and tested for Quebec French, with graceful language switching mid-conversation. French capability is validated by native speakers before launch, not assumed from the model spec sheet.
It means your buyers and hires are AI-literate: higher expectations, sharper questions, less tolerance for gimmicks. We build to that standard — evaluated, grounded systems rather than demos.
Lead triage and routing, customer Q&A, appointment and quote workflows, document extraction, CRM data hygiene, follow-up sequences and internal knowledge assistants. We start from your actual bottlenecks, not a feature list.
Any automated outreach runs on express or provable implied consent, with clear identification and working unsubscribe on every message. We design the consent capture into the workflow, not around it.
Pilots are scoped as fixed-price CAD projects after the use-case audit; larger rollouts are milestone-based. We will also tell you when the ROI is not there — the audit is designed to produce that answer when it is true.
PIPEDA-aware by design: data minimisation, defined retention, and no training on your proprietary data without explicit agreement. Architecture and data flows are documented before build.
Book an AI readiness audit — we will find the workflows worth automating and tell you honestly about the rest.
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