AI Agent Development Company in Vancouver

QServices is a remote-first software consultancy serving Vancouver businesses in Tech, Real Estate, Film/Media, and Mining. We are not headquartered in Vancouver, but we work with Vancouver clients on AI agent development engagements with Pacific Time hours of daily overlap.

What Vancouver buyers typically need from AI Agent Development

Vancouver's industry mix shapes what AI agent projects tend to look like. Based on the city's primary industries, these are the project types we see most often:

• Tech and SaaS companies: Internal productivity agents for sprint planning, ticket triage, and meeting capture. These integrate with Azure DevOps, MS Teams, and Jira, and replace manual coordination with automated, human-reviewed workflows.
• Real Estate firms: Document processing agents for lease abstraction, listing data extraction, and client inquiry routing. Each record change goes to a human reviewer before it is committed.
• Film and Media companies: Contract review agents that flag rights conflicts or payment terms for legal sign-off, rather than auto-approving them.
• Mining and resource companies: Compliance document agents that process regulatory filings and surface exceptions for a human approver before any response is filed.

British Columbia private-sector companies operate under PIPA BC (the Personal Information Protection Act), which governs how personal data is collected, used, and stored. Capital markets work falls under BC Securities Commission oversight. Our agent designs account for both: data is processed in Azure Canadian regions where PIPA BC data-residency is required, and our human-in-the-loop model means a person approves any agent action touching regulated records before execution.

How we work with Vancouver clients

Our team works Pacific Time hours. Standups and demos are scheduled in PT morning slots, and engineers are available for same-day responses during PT business hours. The standard engagement cadence is:

• Weekly 45-minute standup by video call, PT morning
• Daily async updates via Teams or Slack
• Bi-weekly demo of working code against agreed acceptance criteria
• Milestone code reviews shared as pull requests with written comments in async

We do not maintain a Vancouver office. On-site visits are not part of our standard scope, though we can discuss milestone visits for engagements over $50,000 USD if the client requires them. Most Canadian clients find the async model works well once the scoping document is agreed and signed.

Accountability is built into the process. You own the code repository from day one. Every deliverable maps to a named line in the scoping document we share before any work starts. Nothing ships that was not agreed in writing.

Relevant work in similar markets

We have not yet worked with a Vancouver-based client. We are stating that directly because it matters for your decision.

The closest relevant work comes from two projects in adjacent industries:

Wealth management and investment platforms. We built an AI investment chatbot for Melegacy, an investment and legacy planning platform. The agent uses Microsoft Copilot Studio and Nasdaq API integration to deliver ML-powered stock recommendations, and manages legacy sharing with named nominees and charities in a single interface. This is the most relevant precedent for Vancouver companies operating under BC Securities Commission rules.

Tech and SaaS productivity. We built Smart PM, an AI project management agent for an IT services company, integrating Azure AI Foundry, Azure DevOps, Power Automate, and MS Teams. The agent automates meeting transcript capture, backlog creation with Fibonacci story points, and real-time sprint velocity dashboards, replacing manual note-taking and task allocation entirely.

If your business is in Real Estate, Film/Media, or Mining, we do not have a direct case study to show you. We will describe our approach for your specific context in the discovery call.

What AI Agent Development costs for a typical Vancouver project

Engagements are priced in USD. Currency conversion between USD and CAD is handled at the client's end. We do not adjust rates based on exchange rate movements.

Typical project brackets for AI agent development:

• Small scope ($15,000 to $30,000 USD): Single-workflow agent such as a document processor, FAQ bot, or meeting capture tool. 6 to 8 weeks. One or two system integrations included.
• Medium scope ($30,000 to $55,000 USD): Multi-step agent with two to three system integrations such as Azure DevOps, a CRM, or a document store. 8 to 12 weeks.
• Larger scope ($55,000 to $85,000 USD): Multi-agent system with a production evaluation framework, monitoring, and a full human-in-the-loop governance layer. 10 to 14 weeks.

For projects with PIPA BC or BC Securities Commission obligations, add 15 to 25 percent for compliance overhead. Each non-trivial system integration adds $3,000 to $12,000. A production evaluation framework adds $5,000 to $15,000. See our full AI agent development pricing breakdown for more detail.

How to start working with us

Starting an engagement takes three steps:

1. Discovery call (30 minutes): We discuss your workflow, the problem you need solved, and whether an AI agent is the right fit. No obligation.
2. Scoping document: We send a written scope covering deliverables, timeline, integrations, and human-in-the-loop governance requirements. You review and approve before any work begins.
3. Project start: We set up a shared repository, document the architecture, and kick off the first two-week sprint.

Use the form below to book a discovery call. We respond within one business day, PT time.

Can you work with Vancouver companies remotely?

Yes. Our model is remote-first, and we structured the engagement specifically for Pacific Time clients. Our team is available during PT business hours, so you are not waiting overnight for a response.

For data residency under PIPA BC, we deploy Azure workloads into Canadian regions (Canada Central or Canada East) when the client's obligations require personal data to stay in Canada. We document the data residency configuration in the scoping agreement before any processing begins.

For BC Securities Commission-regulated work, every agent action touching regulated data goes to a human reviewer before execution. The human-in-the-loop layer is part of the architecture on these engagements, not an optional add-on.

We use Microsoft Teams and Slack for communication. Code lives in GitHub or Azure DevOps, shared with you on day one. For industry-specific context, see our AI agents for financial services page.