KGetsIt

Example builds

What a build actually looks like.

Two builds for each industry we work with, step by step. The labels matter: plenty of useful automation is not AI at all, so where a step needs judgment or language we use AI, and where plain software does the job, that is what we build. Anything that goes out the door passes a person first.

AI · reads, judges, or writes auto · plain software, no AI needed you · a person decides

Home services & trades

The problems we solve here →

A quote from the field

  1. auto

    A tech's photos and job notes come in from the site.

  2. AI

    A written estimate is drafted from them, using your price book.

  3. you

    You look it over and approve from your phone.

  4. auto

    It goes out the same day and lands on a follow-up schedule.

  5. AI

    Each follow-up is drafted around what the customer actually said.

  6. auto

    The sequence stops on a booking or a no, and the invoice goes out when the job closes.

Quotes leave the same day and stop going cold while the crew is on a roof.

A renewal that would have lapsed

  1. auto

    Maintenance plans and seasonal work are tracked with their dates.

  2. auto

    The ones coming due surface a few weeks ahead.

  3. AI

    A renewal note is drafted in your voice, with their service history in mind.

  4. you

    You approve the batch over coffee.

  5. auto

    Bookings land on the schedule; quiet ones resurface once more before the season.

Renewals stop lapsing because nobody had time to chase them.

Medical & dental practices

The problems we solve here →

A patient goes overdue

  1. auto

    The recall list comes out of your practice system, inside the practice.

  2. AI

    Outreach is drafted for each patient, matched to their history.

  3. you

    Staff review and approve before anything is sent.

  4. auto

    Reminders go out and responses land back on the schedule.

  5. auto

    No-replies quietly resurface later instead of falling off.

A fuller schedule from patients you already have, and patient data never leaves the building.

A claim comes back denied

  1. auto

    The denial lands from the clearinghouse with its reason code.

  2. AI

    An appeal is assembled from the record: notes, codes, the payer rule it meets.

  3. you

    Your biller reviews it and files.

  4. auto

    The deadline is tracked until the payer answers.

Denied money gets appealed instead of written off because appeals took time nobody had.

Season documents, handled

  1. auto

    Client documents land in one intake spot, whatever the format.

  2. AI

    The numbers come off receipts and statements into the right fields.

  3. auto

    Everything reconciles against the books, and mismatches get flagged.

  4. you

    A person signs off on anything that touches the books.

Hours back per return during the crunch, and nothing posts without sign-off.

The client inbox in March

  1. auto

    Requests land in the shared inbox all day.

  2. AI

    Each one is sorted: routine question or judgment call.

  3. AI

    The routine ones get replies drafted from the file.

  4. you

    A partner clears the drafted queue once a day.

  5. auto

    Judgment calls route to the right person with the context attached.

Clients get answers the same day, and the team spends its time on judgment.

A supplier invoice, checked

  1. auto

    Supplier invoices get captured the day they arrive.

  2. AI

    Line items are read off each one, whatever the format.

  3. auto

    Every price is checked against what you paid last month.

  4. auto

    Anything that crept goes on a short weekly list.

  5. you

    You take that list into the supplier call.

Price creep gets caught the week it starts, not at month-end.

A review lands at lunch

  1. auto

    The review comes in from Google or Yelp.

  2. AI

    A response is drafted in your voice, specific to what they said.

  3. you

    The manager approves it between services.

  4. auto

    It posts, and the week’s reviews roll into one short pattern summary.

Every review gets a real answer within a day, and the patterns stop hiding.

Auto repair shops

The problems we solve here →

Declined work, followed up

  1. auto

    Declined work gets logged off the estimate when the car leaves.

  2. auto

    It resurfaces when the work is actually coming due.

  3. AI

    A reminder is drafted in your voice, specific to the car and the job.

  4. you

    The service writer approves it between customers.

  5. auto

    Booked jobs land on the schedule; the rest resurface later.

The biggest pile of pre-sold revenue in the building stops sitting idle.

The estimate keeps pace with the bay

  1. auto

    The tech's notes and photos come in from the bay.

  2. AI

    An estimate is drafted from them, priced from your book.

  3. you

    The service writer checks it and sends for approval.

  4. auto

    The customer approves by text, and the work order updates.

  5. auto

    The invoice goes out the day the car leaves.

Paperwork keeps pace with the shop floor instead of trailing it by days.

Property managers

The problems we solve here →

A 6am maintenance request

  1. auto

    The request lands, from email, text, or the portal.

  2. AI

    It gets read: what broke, which unit, how urgent it really is.

  3. auto

    Routine jobs go to the right vendor with the details attached.

  4. you

    Anything urgent or expensive gets a human decision first.

  5. auto

    The tenant hears back either way, and the whole trail is logged.

The maintenance inbox stops eating the day, and nothing urgent waits.

Owner reports, out on the first

  1. auto

    The month's numbers come out of the systems you already run.

  2. AI

    The report is drafted, with the odd numbers explained instead of buried.

  3. you

    The manager reads it once and sends.

  4. auto

    Every owner gets theirs the same date every month.

Reports go out on time every month, and the days they used to eat go to the portfolio.

Real estate agents

The problems we solve here →

A 9pm listing inquiry

  1. auto

    The inquiry lands from the portal while you are at dinner.

  2. AI

    A real answer is drafted: their questions, the property, a next step.

  3. you

    You approve it from your phone.

  4. auto

    Showing times get offered against your actual calendar.

  5. auto

    The lead stays on follow-up until it books or says no.

Leads hear back in minutes, before the other agent calls back.

Past clients, kept warm

  1. auto

    Home anniversaries and the moments worth a note are tracked.

  2. AI

    A genuinely personal note is drafted, their details, not a template.

  3. you

    You edit or approve each one.

  4. auto

    It goes out, and the next natural touch gets scheduled.

A warm past-client base that refers, without a Sunday spent on cards.

Yours would look different.

These are shapes, not products. A build starts from how your business already works, and the free call is where that starts.