Qualifier
Answers in seconds, not hours. Scores buying signals in real time, routes hot leads to sales within minutes, nurtures the cold ones automatically — so no inquiry goes dark.
MakeBlitz deploys five purpose-built agents that qualify, call, dispatch, support and collect — through the channels you already use. No headcount. No contracts. No theater.
Answers in seconds, not hours. Scores buying signals in real time, routes hot leads to sales within minutes, nurtures the cold ones automatically — so no inquiry goes dark.
Conversational AI that listens, not robocalls. Books appointments, confirms orders, handles voicemail, switches languages mid-sentence — and writes every outcome back into your CRM.
Assigns work in seconds — weighing location, skill, certification and load. Notifies the field, tracks status, reroutes without a manager. Cuts assignment overhead by 70%.
Resolves 60–70% of tickets autonomously, citing your own docs and prior cases. Escalates complex issues with full context. Learns from every resolution. Replies under 30 seconds.
Sends invoices instantly. Reminds on day 3, 10, 30. Escalates overdue accounts through SMS, email and voice automatically. Recovers 20–30% more late payments in 60% less time.
* Each agent ships with a confidence threshold and a human-handoff rule. The agent is never the final word; the operator is. We optimize that boundary weekly.
A second-generation mechanical-services firm in Phoenix replaced a four-person after-hours desk with a single subscription — and answered, on average, twenty-eight seconds faster.
Marcus Chen took over Apex Heating from his father in the autumn of 2023, and inherited a problem older than the company: the after-hours phone. Calls came at midnight, at 3 a.m., on Christmas Day. Ninety percent were emergencies; ten percent were people calling about a thermostat they could have adjusted themselves. Either way, somebody had to pick up.
For nearly two years, that somebody was an answering service in Tempe billing $4,800 a month, with a ninety-second average pick-up and a near-perfect record of butchering the job address.
In March, Apex retired the service and replaced it with a Caller agent and a Dispatcher agent from MakeBlitz, deployed inside of forty-eight hours. The Caller answers in under a second, in English or Spanish, and writes the ticket directly into ServiceTitan. The Dispatcher decides who to wake up — weighing certification, drive time, and how many emergency calls a technician has already taken that week.
By the second week we stopped staffing the phone overnight. By the fourth week, we hired no one for the role at all.Marcus Chen · Owner, Apex Heating
The line of inquiry that follows is not whether the agents work — the data are unambiguous — but whether the savings are real. Apex calculates a recovered labor budget of forty-seven hours per week, against a software invoice of $897 per month. The answering service is gone. One full-time dispatch role was redirected into installation sales, where margins are higher.
“The math is embarrassing in our favor,” says Chen. “What I did not expect was how much better the customer experience got. Our reviews are kinder. Our technicians are less tired. The wife sleeps.”
Median time-to-answer for after-hours service calls, weekly — 12 weeks before and 12 weeks after AI agent deployment, March 2026.
Other operators have followed similar paths. Bright & Early, a residential cleaning operator with twenty-six routes across the Phoenix valley, replaced a routing spreadsheet and the manager who maintained it with a Dispatcher agent. The collected day-to-day savings, said founder Yelena Petrov, were “like discovering a thirteenth month of revenue, and not having to pay payroll on it.”
None of this is novel in concept — routing software has existed for thirty years. What is novel is the speed of installation and the absence of a contract. Forty-eight hours, from $197, cancel by Friday. The threshold to try is low enough that operators no longer treat automation as a quarter-long initiative.
A 60-minute working session with one of our operators. We map the workflow, identify the time sinks, choose the agent and the channels.
We connect the agent to your CRM, scripts, and historical data. We train it on your tone of voice, then dry-run against last week’s real conversations.
Agent goes live on a controlled share of traffic. We monitor every conversation for the first week, ship adjustments daily, and report weekly.
The Dispatcher alone saved us fifteen hours a week. It is, in effect, a full-time operations manager that does not sleep.— Operations Lead,
The Caller answered six hundred and twelve overnight calls in March. We took the answering-service line off the bill the same week. The math is embarrassing in our favor.Marcus Chen, Owner — Apex Heating Phoenix, AZ · Subscriber since Mar 2026
Tenant tickets that used to land at 11 p.m. and wait until 9 a.m. now have a response within two minutes. The Dispatcher routes the right contractor without me opening the laptop.Yelena Petrov, Principal — Bright & Early Property Scottsdale, AZ · Subscriber since Feb 2026
Intake used to be the bottleneck of the entire firm. With the Qualifier and a conflict-check rule we built in, we’ve doubled qualified consults without adding headcount.Henry Okafor, Managing Partner — Okafor & Reid LLP Oakland, CA · Subscriber since Jan 2026
† Live in 48 hours — or your first month is free.
One agent. The lowest-risk way to see what an AI hire actually does.
Three agents, working together. The complete front desk.
Five agents working in concert. Where real automation begins.
Custom agents, dedicated engineering, SLA & on-call support.
* All plans month-to-month. Cancel anytime, no penalty. Annual prepayment available with a 15% discount; we do not require it. Volume discounts on Scale at 3+ locations — ask the desk.
†Conversion lift measured against pre-deployment baseline over 30 days. Methodology available on request.
‡“20 hours saved” assumes one full-time staffer baseline at 40 hrs/week.
§Median time-to-answer figures sourced from operator-supplied call logs; sample size n = 3,412 weighted calls across three operators, March 2026.