Beta: Applicant intake and screening run live for Certified Contracting. Outbound messaging is waiting on Meta app review and carrier SMS registration. Applicant intake and screening run live for Certified Contracting. Outbound messaging is waiting on Meta app review and carrier SMS registration.
What is an AI Recruiting Engine?
An AI recruiting engine takes applicants from recruiting ads, asks only the screening questions their application didn't answer, rates each requirement with the applicant's own words as evidence, and books qualified people into interviews. A person makes every hiring decision.
Commission-only sales roles get lots of applicants and few who show up. Recruiters lose afternoons to people who were never a fit, good candidates wait days for a callback and take another offer, and nobody can say which ad produced the reps who actually sold.
A lead-form application arrives by webhook, with a five-minute poller as backup, and becomes an applicant record with the answers already given.
Over SMS or Messenger, the assistant asks only for requirements the application didn't cover — no repeated questions.
Each requirement is marked Confirmed, Needs discussion or Unknown, and every rating is backed by a verbatim quote from the applicant.
When enough requirements are confirmed, the applicant is offered two interview slots. Bookings are committed with database locks so two people can't take one slot.
Requests for a real person, accommodation questions or policy questions go straight to a human, and the AI can be paused per applicant.
The trainer records interview feedback. Only the owner can approve a hire — the AI cannot mark anyone hired.
Approved reps start a daily ramp: check-in texts, pace against a goal, milestone tiers and a Monday digest for the manager.
Every hire has an application, a screening record, an interview outcome and a ramp history in one place.
We describe impact qualitatively until we have measured numbers. Verified figures appear on case studies only.
The recruiting engine was built for Certified Contracting’s door-to-door roofing sales role, replacing an earlier Make.com texter. It runs as a small web app on Netlify with a Postgres database, and it deliberately does not use a purchased CRM: applicants, conversations, bookings and ramp records live in one schema.
When the system went live, it imported real applications that had been sitting in the old process. The review that followed produced rules we now apply to every lead system: answer once per burst of messages, treat short replies as real answers, and never count a bounced or undelivered message as “contacted.” It also surfaced that the old texter had logged dozens of undelivered messages as sent — the kind of silent failure that only shows up when you look at delivery receipts.
Replacing a Make.com texter with a purpose-built screening and booking system for commission roofing sales reps — applicants screened with evidence, interviews booked without phone tag, hires approved by the owner.
What we built to recruit door-to-door roofing sales reps, why we replaced a no-code texter, and the lessons from importing real applicants into the new system.
A plain-language walk-through of AI lead qualification: asking only what's missing, rating each criterion with evidence, and handing the decision to a person.
Screening against job-related requirements with a human making the decision is the design. Employment rules vary by state and are changing quickly, so the requirements and wording should be reviewed by your employment counsel before launch.
Intake and screening are live, but sending messages to applicants depends on Meta approving the app's messaging permissions and on SMS carrier registration. Until both clear, a person sends the outreach.
An AI lead response system replies to every new inquiry within seconds, asks the qualifying questions you would ask, books a time with a person, and keeps following up until the lead answers or opts out — then hands a qualified, summarized lead to a human.
An outbound prospecting engine finds businesses that match your ideal customer every night, scores them with transparent rules, removes anyone who can't legally or sensibly be called, and gives each rep a prioritized queue with a one-screen brief — so the day starts with dialing, not list-building.
Sales call intelligence transcribes consented sales calls and reviews them against your own playbook — discovery questions asked, objections handled, next step set — so a manager gets a short list of coaching moments per rep instead of hours of recordings. It supports the manager; it does not replace coaching.
An AI receptionist answers the business phone line first, identifies itself as an assistant, handles routine questions, captures who is calling and why, and transfers the call — or books a callback — when a person is needed. Every call ends as a logged record with a summary.
Tell us where the time or money leaks. We reply the same business day, and if a calendar is shown after you submit, you can pick a time right away.
Xavier or the team will reach out, usually the same business day. We'll review your answers before the call so it isn't a sales pitch.
If a calendar appears below, pick a time now and skip the phone tag.
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