Most owners compare a receptionist's hourly wage to an AI subscription, see $22 an hour against $99 a month, and stop there. That comparison is wrong in both directions. A human costs far more than their wage once you load in the real numbers, and an AI costs more than its sticker price once you count the setup nobody advertises. Here is what each actually runs in Alberta, and the one number that usually decides it.
What a Human Receptionist Actually Costs in Alberta
Alberta's labour service (alis) puts the average receptionist wage around $22 an hour. Job Bank and Indeed land in the same neighbourhood, roughly $18 to $25 depending on the city and the industry. Call it $22 for a full-time front desk person: that is about $45,800 a year in base wage alone.
But base wage is not what leaves your account. You also pay the employer share of CPP (5.95% to the annual maximum), EI at 1.4 times the employee premium, WCB coverage, and 4% vacation pay, plus stat holidays. Add even a modest benefits plan and you are 20% to 30% over base before anyone answers a phone. That pushes a single receptionist to roughly $55,000 to $60,000 a year, or $4,600 to $5,000 a month, fully loaded.
Then there is the part the spreadsheet misses. One person covers about 40 hours of the 168 in a week. They take lunch, they take vacation, they get sick, and they quit. Reception turns over fast, and every departure costs you a hiring cycle plus weeks of training on your booking system and your regulars.
- Base wage: ~$45,800/yr at $22/hr
- Employer CPP, EI, WCB, 4% vacation, stat pay: +20-30%
- Fully loaded: ~$55,000-$60,000/yr (~$4,600-$5,000/mo)
- Coverage: ~40 of 168 weekly hours, minus lunches, sick days, and turnover
What an AI Receptionist Actually Costs
Off-the-shelf AI receptionists run from about $25 a month at the low end to $200 or $300 for plans with real call volume, calendar booking, and CRM sync. Verified 2026 starting prices sit around $25 to $99 for solo operators, and most small businesses with steady call traffic land between $99 and $299 a month for 24/7 coverage. That is genuinely 5% to 10% of a fully loaded human.
The honest catch: the subscription is not the whole bill. Minutes overages are real, so a plan sold as "200 minutes" can double in a busy month. The bigger cost is setup done right. An AI that just reads a script and takes a message is a fancy voicemail. One that actually books into your Google Calendar, checks whether you serve a caller's postal code, quotes a ballpark price, and drops the lead into your CRM needs to be wired into those systems and tested against how you really talk to customers.
This is where an off-the-shelf tool and a custom build split. A subscription gives you a generic agent; you adapt your process to its limits. A custom system built on your actual booking flow, your service area, and your pricing rules costs more up front and little to run, and it does the specific job instead of a generic one. Which is worth it depends entirely on call volume and how much of the call is judgment versus script.
The Coverage Gap Nobody Prices In
The strongest case for AI is not payroll savings. It is the calls a human was never going to catch. A receptionist working 9 to 5 misses evenings, weekends, and lunch, and that is when a lot of people actually call. Call-tracking data consistently shows most callers who hit voicemail simply dial the next business instead of leaving a message. A missed call is not a delayed sale; it is usually a sale that went to a competitor.
In Alberta this gap is seasonal and sharp. A snow-removal or landscaping company gets buried in calls the morning after the first big dump, all at once, all urgent, most from people who will book whoever answers. No single receptionist absorbs that spike. At -30 the phone does not wait for business hours. An AI that picks up every line at 6am on a storm day and books the route is not replacing a person's warmth; it is catching revenue that was falling on the floor.
Put a dollar figure on your own gap before you decide anything. Pull your call log, count missed and after-hours calls in a normal month, and multiply by your average job value and your close rate. For a trades business where one job is worth a few hundred to a few thousand dollars, even a handful of recovered calls a month clears the cost of any AI on this list.
A Worked Example: The Snow-Day Math
Here is an illustrative but realistic scenario. A small Edmonton landscaping and snow crew averages 8 missed or after-hours calls in a normal week, worse after a storm. Their average job is worth $450 and they close about 1 in 3 of the calls they actually answer. Eight missed calls a week is roughly 35 a month; capturing even a third of those and closing a third of those is about 4 booked jobs, or $1,800 in monthly revenue that was previously lost to voicemail.
Against that, a capable AI receptionist at $150 to $250 a month is not a close call. The recovered revenue is several times the cost, and that is before counting the receptionist's time freed up for quoting and follow-up. This is the same pattern behind the tools AltaPro AI has built for trades: for Zebra Landscaping we cut quoting from about four hours to under twenty minutes, and for an Alberta contractor we cut bid assembly from two or three hours down to minutes. Front-desk automation is the same idea aimed at the phone.
The math flips, though, if you run 3 calls a week and every one is a complex, relationship-heavy conversation. Then the recovered revenue is small and the human's judgment is the whole product. Run your own numbers before you assume either answer.
When Hiring Is Still the Right Call
AI reception is a bad fit in a few honest cases, and the cheap or human option wins. If your calls are low volume and high nuance, a lawyer taking a distraught client, a clinic handling sensitive intake, a deal where rapport closes the sale, a warm human is worth every dollar and no AI should be first to answer. If your call volume is genuinely tiny, a $30 answering service or a good voicemail-to-text setup may be all you need; do not build a system to solve a problem you do not have.
The best setup for most Alberta service businesses is not either-or. Let AI take the front line: answer every call, book the routine stuff, capture the after-hours and storm-day overflow, and hand the complicated calls to a human with the context already gathered. Your receptionist stops being a switchboard and starts doing the work that actually needs a person. You are not firing anyone; you are stopping the leak.
One caution specific to going custom: an AI that books appointments or quotes prices touches your calendar, your CRM, and your money. It needs to be wired carefully, rate-limited so it cannot be abused, and tested against real call recordings before it answers a live line. A generic subscription hides those decisions; a custom build makes them yours. That control is the point, and it is also the responsibility.