AI agent development for Canadian teams that need agents to actually work.

Honest answer: Eastern Canadian hours (Toronto, Montreal, Ottawa) get a native two-to-three-hour late-afternoon overlap with our Mohali IST day. For Eastern clients that need full Bay Street business-hours coverage, we route a dedicated overlap pod through our Frisco, TX office — Frisco runs Central Time, one hour behind Toronto but covering the same workday. Western Canadian hours (Vancouver, Calgary) are thinner; we cover them async-first with twice-weekly demos in Pacific morning and a tech-lead-on-call rotation for incident response. Daily written updates with eval-run numbers land before your standup. If your engagement genuinely cannot survive without same-zone synchronous coverage at all hours, we will tell you on the first call so you can pick a Canadian-only consultancy instead.

Our engagement defaults are aligned with PIPEDA federally and Quebec Law 25 for any agent processing Quebec-resident personal information. DPAs are signed before any personal information is shared, and we run a Privacy Impact Assessment (PIA) for engagements processing personal information at scale or involving sensitive categories. For Law 25 specifically, we support the obligations on consent transparency, automated decision-making disclosure (Article 12.1), data portability, and the right to de-indexation. Every agent model call, tool call, and tool result is audit-logged so the responsible person under Law 25 has the evidence to demonstrate compliance during a Commission d'acces a l'information review. For British Columbia clients, BC PIPA controls layer on top; for Alberta, PIPA-AB.

Your call. We default to AWS ca-central-1 (Montreal) for Eastern Canadian clients and for Quebec Law 25 cohorts that want in-province residency, Azure Canada Central (Toronto), or GCP northamerica-northeast1 (Montreal) and northamerica-northeast2 (Toronto). For LLM inference, we pin Claude or GPT-4o to a Canadian or US region depending on what your privacy officer approves — or we self-host Llama 3 on vLLM inside your Canadian VPC for zero third-party inference. Tool calls hit your APIs, not a vendor proxy. No Canadian personal information silently crosses the border unless your DPA explicitly permits it under PIPEDA's accountability principle.

DPAs aligned with PIPEDA and Quebec Law 25 obligations on processors, NDAs (mutual, before any technical detail is shared), MSAs for ongoing relationships, and per-project SOWs for fixed-price agent builds. For healthcare engagements, BAAs or provincial-equivalent agreements are signed before any PHI is shared. International transfers of personal information are covered by Schedule 4 of the DPA spelling out the safeguards in place. Legal turnaround is usually one to two weeks depending on your DPO's review cadence; we work from your legal team's MSA template or provide ours. Aiinfox Pvt. Ltd. is a registered Indian entity invoicing Canadian clients in CAD or USD via wire transfer — no T4A entanglement because we are a foreign corporation.

Most v1 agent engagements at Aiinfox land between CAD $40,000 and CAD $180,000 fixed-price for a focused build — a multi-step SaaS agent, a bilingual voice agent, a healthcare patient-inquiry agent, or a fintech compliance copilot. Larger multi-quarter engagements with custom evals, Law 25 documentation, and integration into a regulated platform typically reach CAD $220,000 to CAD $380,000. The cost difference versus a Toronto or Montreal AI consultancy lands roughly 30 to 50 percent lower on senior rates — but the headline is the delivery model: senior engineers only, fixed-price six-week scopes, overrun cost on us if we miss. Most Bay Street shops bill timesheets, run discovery-then-discovery-then-build phases, and either burn a junior pool behind a senior nameplate or churn senior staff mid-engagement.

Yes — agent takeover audits are routine. Step one is reading the agent code, the tool schemas, the prompt stack, the eval results (if any), and the cost telemetry. Step two is shipping the smallest valuable change to prove we understand the system — usually adding the refusal layer or the eval harness the previous vendor skipped. Step three is the longer-term rebuild plan if one is needed. Most agent takeovers we see did not need a rewrite; they needed typed tool calls, evals, a refusal layer, and a senior engineer on the build. We will be honest on the first call about which category your project lands in.

Yes. We have shipped voice agents and chatbots in English and Quebec French. For voice agents specifically, we route Deepgram for Quebec French STT and ElevenLabs or Azure Neural TTS for Quebec French voices, with prompt tuning on Quebecois conventions rather than Parisian French. RAG retrieval is multilingual by default — the agent's knowledge base can mix English and French documents and retrieve from both. For Law 25 consent and transparency notices, we draft in both languages with a translator review where the engagement touches automated decision-making obligations. The agent's tool-calling layer is language-agnostic; the user-facing turn is what we localise.

Three layers, none of them optional. First, every tool is typed against a JSON schema and the agent's call is validated before execution — a malformed argument is rejected, not coerced. Second, a refusal layer fires when retrieval confidence drops below threshold, when input matches a red-team injection pattern, or when the tool call falls outside the agent's allowlist for the current user role. Third, destructive actions (write to EHR, charge a card, send a regulated communication) require either a human-in-the-loop approval or a second-model verification step. Every model call, tool call, and tool result is audit-logged with timestamps and operator identity — exportable for a Privacy Commissioner inquiry or an internal compliance audit.