Yaletown SaaS teams fight for engineering hours and AI automations always slip
· AI Automation Services
AI Automation for Vancouver Businesses
n8n and Claude workflows for Vancouver SaaS, BC outdoor brands and Mount Pleasant studios — delivered async, Pacific-time friendly.
Industries I automate in
- Tech & SaaS
- Film & VFX production
- Outdoor & lifestyle D2C
- Clean tech & sustainability
Where teams lose time
Mount Pleasant VFX studios carry heavy data-wrangling loads that AI can now handle cleanly
BC D2C outdoor brands lose margin to returns, reviews moderation and spreadsheet-driven inventory
Client snapshot
What this looks like in practice
For a North Shore outdoor D2C brand I automated their returns-and-reviews loop. Shopify webhooks trigger n8n, Claude categorises the return reason and drafts a supportive customer reply, while low-rating reviews surface to the founder with a suggested response. Returns admin dropped about 60% and their CSAT moved meaningfully on review follow-ups.
Who builds it: Waseem Nasir — AI automation engineer, digital nomad from Pakistan, based in Bali/ASEAN, serving global clients.
Frequently asked questions for clients
Do you work on Pacific time for Vancouver clients?
My core hours overlap your late afternoon, and I respond to most messages through the Vancouver morning before I sleep. In practice that means you send a question at 10am PT and usually have an answer, a Loom or a deployed change ready by the time you start the next day.
Can you support a Vancouver VFX or animation studio?
Yes. The common wins are asset tagging, brief ingestion, dailies transcription and client recap automation. I keep your creative tools as they are — Shotgrid, Frame.io, Slack — and add an n8n + Claude layer on top that removes the admin drag from artists and producers.
Is there a clean AI play for a BC outdoor or lifestyle brand?
Yes, usually on returns, reviews, content and support. Shopify and Gorgias feed into n8n, Claude handles the language and sentiment work, and you keep a human on sensitive cases. The brand sounds like itself, just faster and more consistent.
How do you handle cross-border Canada–US data questions?
I map the data flow explicitly — what crosses the border, which provider stores it, for how long. Where you need strict Canadian residency, I can keep the n8n instance and vector stores in Canadian regions, even if the LLM call itself goes to a US endpoint.
Book a Vancouver automation audit
30-minute discovery call. No pitch deck. I map your current workflow, identify the highest-leverage automation targets, and tell you whether it makes sense to work together.