AI automation for hospitality & restaurants.

Hospitality is a huge, low-margin business where operations decide survival. The US restaurant and foodservice industry is projected at roughly USD 1.5 trillion in sales in 2025, with traditional restaurants alone over USD 1.1 trillion, per the National Restaurant Association. In Canada, foodservice is estimated near CAD 135 billion for 2025 according to Restaurants Canada. But the money is thin: the National Restaurant Association 2025 Restaurant Operations Report puts median pre-tax profit at 2.8 percent of sales for full-service and 4.0 percent for limited-service, with labor a median 36.5 percent of sales at full-service. On margins that narrow, every missed call, empty table, and over-scheduled shift matters.

The phone is the biggest silent leak. QSR Magazine reports restaurants miss around 43 percent of inbound calls and that the industry loses on the order of USD 20 billion a year to unanswered phones, with the worst gaps during the dinner rush when staff are on the floor. BIA/Kelsey research finds about 85 percent of callers who hit voicemail never call back, so a missed call is usually a lost cover or order, not a delayed one. Reservations leak the same way: no-show rates commonly run near 20 percent depending on format, and industry math shows that just six no-shows can wipe out the slim profit of a 40-seat restaurant. OpenTable data has found that a large share of diners admit to skipping a booking in the past year.

Labor and reputation are the other two pressure points. Restaurant turnover has averaged roughly 79.6 percent over the past decade and runs well over 100 percent in quick service, and the accommodation and food-services quit rate sits near double the private-sector average per the US Bureau of Labor Statistics, so managers are perpetually rehiring and rebuilding schedules, often spending four or more hours a week doing it by hand. Reputation compounds it: Harvard Business School research found a one-star increase in a restaurant Yelp rating drives a 5 to 9 percent revenue increase, and surveys show a large majority of diners read reviews before choosing where to eat. Hotels face a parallel squeeze from online travel agencies, whose commissions typically run 15 to 30 percent versus a direct-booking cost near 4.25 to 4.5 percent, making every direct reservation materially more profitable.

This is exactly the work AI is good at, and the tooling now plugs into the systems operators already run. Voice agents answer the phone 24/7 and take reservations into OpenTable, Resy, or a hotel PMS; messaging agents recover no-shows, run waitlists, and push direct-booking and upsell offers; reputation agents draft on-brand review responses for approval; and scheduling agents build demand-aware rosters from POS sales history in Toast or Square. The guardrails are non-negotiable and we build to them: PCI-DSS for anything touching card data, US ADA Title III and WCAG 2.1 AA (and AODA in Ontario) for booking and menu accessibility, plus food-safety regimes like the FDA Food Code in the US and the Safe Food for Canadians Regulations and provincial health codes in Canada. We are a Calgary-based agency serving operators across Canada and the US, we keep a human in the loop on complaints and comps, and we start with one workflow, prove the ROI in weeks, and scale only what works.