A cleaning company grows on recurring clients and bleeds on the gaps: the quote request nobody answered, the deep clean that never turned biweekly, the office manager who spotted the overflowing bins before you did. We build AI into ZenMaid, Jobber or Swept, your phones and your inbox, so every house and every building gets handled the same careful way.
Free video call. Nothing gets quoted unless it can return 300% in the first year.
Homeowners asking for a price usually message three companies on the same night. The one that replies with a number and an open slot gets the job. If your office answers in the morning, the house is often already booked elsewhere, and so is the recurring schedule behind it.
Move-out cleans, post-construction jobs and pre-holiday deep cleans bring in new households every month. Without a well-timed offer to switch to biweekly or monthly service, most of those customers disappear after one visit, and you pay to acquire them all over again next season.
On commercial accounts, the facilities manager who finds an unstocked restroom or a skipped conference room starts keeping score. When cleaners do not report problems and supervisors never close the loop, the account goes out for rebid at renewal, usually on price, and the margin goes with it.
A cleaner calls out at 6 AM and the office spends two hours reshuffling teams, texting clients and figuring out who has which key. Every scramble costs labor, risks a skipped home and leaves clients wondering why a different crew showed up without warning.
In Swept's survey of nearly 500 janitorial business owners, 81% said a client had told them about an on-site issue the cleaner should have reported first.
Swept, janitorial business owner surveyThese are round example numbers, and on the free call we use your real bookings, rates and recurring conversion.
AI answers a quote request in seconds, asks the questions your pricing really depends on, such as bedrooms, bathrooms, square footage, pets and current condition, then sends a price from your rate card and an open slot from ZenMaid or Jobber. A request that arrives at 10 PM is booked before a competitor's office even opens.
After a move-out or deep clean, AI checks in, asks how the visit went and offers the recurring rate within a week, while the house still feels fresh. On the commercial side it follows up on walkthrough proposals with the facilities contact until you get a clear yes or no, instead of letting the bid sit unanswered.
People read reviews closely before letting a crew into their home. AI sends a short review request after visits your team lead marks as good, routes any unhappy reply to the office before it turns public, and keeps fresh Google reviews arriving every week, which matters most in the spring and holiday rushes.
Most client messages are routine: can you come Thursday instead, can you add the inside of the fridge, did the team leave the spare key. AI answers from your schedule and policies, books add-ons at the right price and only passes along what needs a person, which frees your office from the constant text thread.
Cleaning payroll gets messy with drive time, split shifts and per-job pay. AI reconciles completed jobs, clock-ins and add-ons against the schedule, flags mismatches, drafts invoices for commercial accounts and prepares payroll exports for review. Your office manager checks the exceptions instead of rebuilding the week line by line every Friday.
Cleaners snap photos and tick a checklist, and AI turns that into a short branded report for each building, listing supplies restocked, issues found and anything that needs the client's attention. Facilities managers hear about the broken soap dispenser from you first, which is exactly what keeps an account from going back out to bid.
A recurring client is worth dozens of one-time jobs, so our systems are built to move people onto a schedule and keep them there. Every play is measured against retained accounts as well as new leads, because in cleaning the profit sits with the clients who stay for years.
A homeowner wants a price tonight. A property manager wants a walkthrough, a scope and a proposal. We build separate flows for each inside the same tools, so the residential side moves fast and the commercial side looks as organized as the national franchises bidding against you.
Cleaning crews turn over often, so systems cannot depend on one person remembering how things work. We put checklists, client notes and standards where any new hire can find them, and keep the AI focused on what your office does every day rather than features nobody touches.
Residential demand climbs with spring cleaning in March and April, then again with summer move-outs as leases end and families relocate before school starts. The weeks before Thanksgiving and the December holidays bring a rush of deep cleans, while January and February slow down as households tighten budgets. Commercial work stays steadier, with bumps around office moves and year-end budgets. Speed to Lead and Online Booking take the peaks, and Quote Follow-Up works the quiet months, turning last season's one-time customers into recurring ones.
On the residential side it is usually ZenMaid, Jobber, Housecall Pro or BookingKoala, commercial accounts often run on Swept or Janitorial Manager, and the books and payroll sit in QuickBooks or Gusto, and we build inside those.
Every system lives in your own accounts. We never host or store your customer data.
A fast price wins the first clean, and follow-up turns it into a recurring schedule. Together they cover the two moments where cleaning companies lose the most revenue, and both run off your rate card and calendar, so they share setup and launch together as one Operating Build.
Planned together, priced together, fixed in writing.
Twenty minutes. We trace how a lead and the work move through your business and show you where the money leaks. No slides. No pitch.
It prices from your rate card, using the details you already ask for: bedrooms, bathrooms, square footage, pets, condition and frequency. For anything outside your normal ranges, such as heavy clutter or post-construction dust, it collects photos and flags the request so a person can set the price.
Yes. ZenMaid and Jobber are both common in residential cleaning, and we build around whichever you use, reading open slots and customer details and writing bookings back where the platform allows. If your setup has limits, we work through email, text and calendar connections instead, all inside your own accounts.
It helps with the parts that slip: following up after walkthroughs, assembling proposals from your standard scopes and sending site reports that prove the work is getting done. It will not price a 40,000-square-foot office on its own. Your estimator still sets the number and signs off on the scope.
AI can notify the affected clients with a message you approve, offer a new time or a substitute team and collect the replies, so your office is not texting forty people by hand at dawn. Deciding who covers which home stays with your scheduler, and the AI handles the follow-through.
It removes the repetitive part of the job: answering the same questions, retyping schedules into payroll and chasing reviews. Owners usually put that time into selling commercial work or pushing back the next office hire. The goal is a team that serves more clients without adding headcount.
Our builds start at $5,000, and you get a written scope with a fixed price and timeline. A single residential quoting system sits near the low end, while a combined residential and commercial setup costs more. The price guide lists the ranges, and the free call shows where your return is largest.
