team of 6-10 · clients 1-50 to 251-1,000 people · Vancouver / Toronto / Los Angeles
North Group acts as an embedded AI department for owner-led and sponsor-backed companies that lack one. Based in Vancouver, Toronto and Los Angeles, it works with hospitality, real estate, CPG and services businesses, including Sheraton Wall Centre and Cactus Club Cafe. Assessments, training programs, automation builds and ongoing fractional AI department retainers. Both build and advise.
A financial services company in a major Canadian city had no AI training, no AI policy and no sanctioned tools, while staff were already using AI and the information.
A full-service hotel at a major North American hub airport runs around the clock with many guests in transit.
A full-service flagship hotel and conference operation in a major Canadian city, part of the world's largest hotel chain by room count, had no AI training, policy, data.
A residential home builder in Atlantic Canada builds about 200 homes a year across several active sites, with sister companies for land, site work, materials and rentals.
A city chapter of a global peer network for business owners has more than 100 members who join mainly for connections.
A home services painting company in a major Canadian city, nearly four decades old with tens of thousands of homeowners served, ran on its owner's judgment.
The chair of a national conference for a global peer network of business owners wanted each of a couple hundred attendees to meet the person they most needed to meet.
A Canadian digital health company building an employee-benefits platform for employers and their benefits partners had staff who mostly used AI every day, but shallowly.
A West Coast real estate advisory and design firm had project managers, designers and technical staff each paying for personal AI subscriptions with no shared context.
A North American CPG brand selling through grocery, natural, marketplaces and its own store had five years of orders in an ERP staff disliked and that couldn't sync with.
Staff were already putting client and financial data into AI tools, with no training, no policy and no sanctioned tools.
The chapter's one-on-one introduction program left members to schedule, write the first message and work out why they'd been paired, so most found it too demanding to.
The owner priced every job himself after a site visit, staff retyped work orders at 5 to 15 minutes each, and ten years of quotes, invoices and job photos sat in five.
Field updates came in over WhatsApp and were retyped into other systems, checking a site's status could mean a five-hour drive, and invoices were handled four or more.
Staff used AI daily but on their own, with no connectors to their tools and no rule on what member health data could touch a model, which blocked CRM automation.
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