The night I decided to actually test the best AI voice agents for contractors, I forwarded a spare business line to the first platform, sat in my truck in a cold garage, and called it pretending to be a homeowner with no heat. It was 9:47 on a Tuesday. The bot answered on the second ring, sounded pleasant, and then, when I said the word "emergency," cheerfully offered me the next available appointment: Thursday at 2. A family with a dead furnace and a toddler is not waiting until Thursday. That single moment is the whole reason this review exists. A voice agent that answers is not the same as a voice agent that understands what a contractor's phone call is actually for.
I run Turnkey Services, and I spend a lot of time inside the phone systems of $1M to $5M home-service shops, so I wanted a real answer instead of a feature grid. Over about two weeks I put six platforms on the same forwarded line and ran the same four calls through each one: a genuine after-hours no-heat emergency, a price-shopper asking "how much just to come out?", a legitimate weekday booking, and a spam/robocall barrage. I scored every agent on three things that decide whether trades owners keep them: how it handled the trip charge, how it triaged an after-hours emergency, and how well it screened junk. Here is what I found.
The test rig, and why these four calls
The setup was deliberately unglamorous. One phone number, forwarded to whichever agent I was testing that day, with the same business persona loaded into each: a fictional heating and plumbing shop with a trip charge, on-call after-hours coverage, and a normal weekday calendar. Then I called from three different phones, plus I let real inbound spam pile up over 48 hours per platform to see how each one behaved when nobody scripted it.
I picked those four calls because they map to where money actually leaks. Missed and mishandled calls are the quiet killer in this business; I have written before about the real math on reduced missed calls for HVAC, plumbing, and electrical owners, and every one of these agents is really competing to plug that specific hole. Speed matters too, but only if the answer is right. An agent that responds in one second and books the emergency for Thursday is worse than a voicemail, because at least the voicemail does not give the homeowner false comfort to stop calling your competitors.
The 9:47 no-heat call: after-hours emergency triage
This was the axis that separated the serious tools from the demos. A true emergency call needs the agent to do three things in order: recognize that "no heat with a baby in the house" or "I smell gas" is not a normal booking, escalate to the on-call technician or take a callback with urgency flagged, and not quietly slot it into next week's calendar. The FCC and FTC both publish guidance on how phone systems should treat urgent versus routine contact, and the same principle applies inside your own line: urgency has to change the routing, not just the tone of voice.
Avoca AI handled this best of the six. It was clearly built by people who have listened to trades calls. When I said "emergency, no heat," it asked whether anyone was in danger, whether I smelled gas, and then offered to page the on-call tech rather than booking me days out. It is the most trades-native of the group and markets itself around plugging into field-service software so the job is actually created, not just emailed to someone. Sameday AI was a close second on emergencies because its whole design goal is booking and objection handling; it treated urgency as a reason to move faster, which is exactly right. Rosie and Goodcall both did something reasonable but softer: they captured the details, flagged it as urgent in the text summary they sent me, and promised a fast callback. For a small shop where the owner is the on-call tech and will see that text in ninety seconds, that is genuinely fine. Dialzara was serviceable but generic; it took a good message without really understanding that a furnace emergency is different from a dishwasher install. Synthflow is capable of the best emergency logic of anyone here, but only because you build it yourself, which is a different kind of answer I will come back to.
The lesson from this call: emergency triage is not a voice-quality feature, it is a routing feature. If you run genuine after-hours coverage, the question to ask any vendor in a demo is blunt. "Show me what happens when I say I smell gas." If the agent books an appointment instead of escalating, walk away.
"How much just to come out?" — the trip-charge test
Every trades owner knows this call. The homeowner leads with price before they will tell you what is wrong. Handling it well is an art: you want the agent to answer the trip-charge question honestly, explain how it applies toward the repair if that is your policy, and steer the conversation toward booking instead of getting stuck in a quote loop. Handling it badly kills the call two ways: either the bot refuses to discuss any number and the caller feels stonewalled, or it invents a repair price it has no business quoting.
This is where I want to be careful about language, because it is your pricing on your own line, not something a vendor should be guessing. The best agents let you load your actual trip charge and a short, owner-approved script around it. Goodcall and Rosie were both strong here for small shops; you set the dispatch fee, you set the one-sentence explanation, and the agent delivers it consistently without freelancing. Sameday AI was the most persuasive, because it treats the price question as an objection to work through and nudge toward a booked slot, which is what a good CSR does. Avoca handled it cleanly and moved to schedule. The two that gave me pause were the ones that either got vague ("our team can discuss pricing when they arrive," which makes callers hang up and dial the next truck) or, worse, drifted toward estimating an actual repair cost. You never want an AI quoting a compressor swap. Load the trip charge, cap it there, and route the diagnosis to a human.
If price-shoppers are eating your day, the fix is partly the agent and partly a follow-up system behind it. An agent that captures the lead is only half the job; what happens in the next five minutes is the other half, which is the whole point of answering web and phone leads inside five minutes to lift your close rate.
The spam gauntlet
Here is the axis nobody demos and everybody pays for. If your agent is on a per-minute plan and it dutifully answers every robocall, warranty scam, and "we noticed your Google listing" spammer, you are paying to talk to machines. With U.S. consumers fielding tens of billions of robocalls a year, this is not a rounding error. The FCC's guidance on unwanted robocalls and the FTC's advice on stopping unwanted calls both point at the same underlying tech: carrier-level caller-ID authentication (STIR/SHAKEN) that flags likely-spoofed numbers. An agent's screening is only as good as whether it uses those signals plus its own logic.
Goodcall screened best in my two-day junk pile, dropping or deflecting a clear majority of obvious spam before it ever became a billable conversation. Rosie was solid. Avoca and Sameday were fine but are aimed at businesses where a human or FSM system is doing some filtering upstream. Dialzara answered too much, which on a per-minute model is a real cost. Synthflow, again, can be configured to screen aggressively, but you own that configuration. Ask every vendor how they bill a call that turns out to be spam, and whether known-spam numbers are blocked before the meter starts.
How the six scored
Here is the shorthand from two weeks on the same line. Scores are my judgment for a typical $1M to $5M trades shop, not a lab benchmark.
| Platform | Trip-charge handling | After-hours emergency triage | Spam screening | Best fit |
|---|---|---|---|---|
| Avoca AI | Strong | Best in test | Good | Larger shops on FSM software |
| Sameday AI | Best in test | Strong | Good | Owners who want booking/closing pressure |
| Rosie | Strong | Good | Strong | Small shops, fast setup |
| Goodcall | Strong | Good | Best in test | High spam volume, small teams |
| Dialzara | Fair | Fair | Fair | Basic message-taking |
| Synthflow | As good as you build | As good as you build | As good as you build | Owners who want full control |
Synthflow deserves a footnote rather than a ranking. It is a no-code builder, which means it can beat everything on this list on any single axis, and it can also be worse than a voicemail if you wire it wrong. If you have someone technical who will own it, it is the most flexible option here. If you do not, buy something that already knows what a trip charge is.
What I would actually run
If you are a small crew and the owner is the after-hours tech, Rosie or Goodcall will cover you well and get out of your way, with Goodcall edging ahead if spam is drowning you. If you are bigger, running real dispatch software and a CSR seat or two, Avoca and Sameday are built for your world, with Avoca leaning toward operations and Sameday leaning toward booking more of the calls you already get. Whichever you pick, remember the agent is one piece. It feeds a follow-up and dispatch process that has to be just as sharp, which is why I usually frame this decision as part of the broader AI receptionist versus live answering service tradeoff rather than a standalone gadget purchase.
The honest takeaway after two weeks: a voice agent does not replace your judgment or your crew, and any vendor implying it does is overselling. What it replaces is the missed ring, the Thursday-booked emergency, and the twelve minutes you burned this week explaining your trip charge to someone who was never going to book. Get that right and the phone stops being the thing you dread on a Tuesday night. If you want help matching one of these to your HVAC or plumbing operation and wiring it into how you actually dispatch, that is the kind of setup work we do, but the review above stands on its own whether you ever call us or not. You can also see how we think about the answering layer specifically on our AI receptionist page.
Frequently asked questions
Can an AI voice agent handle a real emergency call, or should those always go to a person?
The good ones can triage: recognize urgency, ask the safety questions, and either page your on-call tech or take a flagged callback. What they should not do is diagnose or book a genuine emergency days out. Test this exact scenario before you buy by saying "I smell gas" in the demo and watching what the agent does.
Will the agent quote your prices to customers?
Only the numbers you load, and you should cap it at your trip or dispatch charge plus a short approved explanation. Do not let any agent estimate repair costs. Diagnosis and pricing on the actual work belong to a human on site.
How do these agents keep spam from running up my bill?
Through a mix of carrier caller-ID authentication signals and their own screening rules. Coverage varies a lot, so ask specifically how the vendor bills a call that turns out to be spam and whether known robocall numbers are blocked before the per-minute meter starts.
Do I need field-service software for this to work?
No, but it changes which tool fits. If you run ServiceTitan or similar, an agent that writes the job directly into it (like Avoca aims to) is far more useful than one that only emails you a summary. If you are a small shop living out of a calendar and text messages, a lighter tool like Rosie or Goodcall is plenty.