KGetsIt

AI for small business · Massachusetts & the US

An AI employee that does the office work.

You didn't start your business to become a technology expert, and you shouldn't have to become one to get real work out of AI. We tell you which of it is worth acting on, say so plainly when it isn't, and build the part that earns its keep so it runs on its own, every day. You deal with the engineer who builds it.

free · 30 minutes · Google Meet · no commitment to an assessment

Inbox 4 new
Monday · 7:04 AM
  • Invoices 6:12 AM

    3 overdue invoice reminders, drafted and waiting for your OK

    Oldest is 41 days. Each reminder matches the tone you approved last month.

  • Quotes 6:14 AM

    Follow-up for last week’s estimate, ready to send

    No reply in 6 days. One nudge, no pressure, your call.

  • Purchasing 6:31 AM

    Supplier price change caught: paper goods up 9%

    Two alternatives inside at the old price. Nothing ordered yet.

  • Schedule 6:47 AM

    This week: two conflicts found and fixed

    Thursday double-booking resolved. Friday moved as you asked.

The paperwork did itself overnight. You just hit approve.

illustrative example

access was never the problem

58%

of small businesses already use AI. Almost everyone has a chatbot by now.

US Chamber, 2025

5%

of company AI projects make it past a pilot into real daily use.

MIT, 2025

as likely to get it running for real with outside help than alone.

MIT, 2025

works with what you already use: ChatGPTClaudeGeminiMicrosoft 365Google WorkspaceQuickBooks and models that run on hardware you own

how it works

From first call to finished work.

No mystery about what happens next. You see every stage before you commit to any of it.

01

Talk to an engineer

Free, 30 minutes

Explain the work eating your time, the tools involved, and what you have already tried. This is the person who would build it, not a salesperson.

02

Get a go or no-go

By the next business morning

You hear whether there is a real AI opportunity, whether an existing product is the better answer, or whether it is not worth doing at all.

03

Approve a fixed-price assessment

$1,500 to $3,000

Only if it makes sense. Nothing starts until the scope, price, inputs, timeline, and deliverables are set in writing.

04

Get the roadmap, decide

It is yours to keep

A ranked plan with real numbers. Build it with us or take it elsewhere. If we build it, the assessment fee comes off the build.

what a build actually looks like

AI only where it earns its place.

Plenty of useful automation is not AI at all, just ordinary software doing a boring job reliably. Where a step needs judgment or language, we use AI. Where it does not, we do not. And anything that goes out the door passes a person first.

What a build produces

Not dashboards. Finished paperwork, waiting for your OK.

Estimate #2013

Built overnight from yesterday’s site visit notes

Draft · your approval
200 amp panel, outdoor rated 1 $1,340.00
Breakers and conductorsprice moves, rechecked today lot $412.00
Grounding rods and clamps 1 $78.00
Labor, swap and reconnect 6 hr $780.00
Permit and inspectionprice moves, rechecked today 1 $110.00
Total$2,720.00

Nothing goes to the customer until you approve it.

illustrative example

Rent arrears, this morning

4 open
Unit 2C 9 days $1,275 reminder drafted
Unit 8D 4 days $1,600 reminder drafted
Unit 12F 27 days $2,400 flagged for your call
Unit 3A 6 days $980 reminder drafted
Also queued: 1 lease renewal ready for signature.

Reminders wait for your OK. The hard conversation stays yours.

illustrative example

Neither of these comes off a shelf; both get shaped to how you already work. There is one for every industry we serve: see what lands on your desk →

the honest question

Why not just use ChatGPT yourself?

You already can. Here is what changes when you go from asking AI to actually running it.

You probably already use it for emails or a first draft, and it helps. Nobody is going to talk you out of that. It just does not change how the business runs, and that is where people get stuck.

What trips them up is turning a good answer into something that runs on its own. MIT looked at company AI projects last year and found only about 5% ever reach daily use. The rest stall as pilots. Someone builds a clever prompt, it works in the demo, then real data breaks it, or it was never wired into the tools where the work happens, or it quietly stops getting maintained.

Getting an answer out of AI is easy now. Getting it to do a job every morning, and keep doing it when something goes sideways, is mostly ordinary software and operations work. Businesses that bring someone in for that succeed about twice as often as the ones going it alone. It is not a secret model. It is the unglamorous skill of making software hold up in a real company, and the time to do it while you are busy running the place.

That is the work we take on. Talk to an engineer →

what we commit to

Rules you can hold us to.

These are in writing in every engagement. If one gets broken, you have this page to point at.

  • An engineer reviews every request. AI may collect and route it; a person owns the reply.
  • When a plain automation does the job, that is what we build. AI goes in only where it earns its place.
  • You hear back by the next business morning.
  • No paid work starts without a written scope and a fixed price.
  • We tell you when an off-the-shelf product is the better answer, even though it means no build for us.
  • You keep the roadmap, the code, the accounts, and the work product.
  • The assessment fee comes off the build when we do the build.
  • Your contact information is never sold or shared.

answers

Common questions

What does KGetsIt do?
We help small businesses get real work out of AI. It usually starts with a fixed-price assessment, and goes from there: an automation on the big cloud models, private AI on hardware you own, a rescue for an AI-built app that keeps falling over, or training for your team. For technical teams we also do contract model work like fine-tuning and inference optimization.
Why not just use ChatGPT ourselves?
You can, and you probably do. The hard part is turning a good answer into something that runs on its own without breaking. MIT found only about 5% of company AI projects ever reach daily use, and the ones that bring in outside help get there roughly twice as often as the ones going it alone. That gap is the whole reason we exist.
Do you work outside Massachusetts?
Yes. We're in Massachusetts and work with businesses around the country, mostly remotely. The exception is the private on-prem setup, where we come set up hardware in your office.
How much does it cost to get started?
Most of the time it starts with the assessment, which runs $1,500 to $3,000 depending on the size of the business. If you go ahead and build, that comes off the price.

Have a question about your own setup? Talk to an engineer →

See where AI is
actually worth it.

Start with a free 30-minute call with an engineer. You leave it knowing the next step: an assessment, an off-the-shelf tool, or nothing at all.

Rather talk it through now? Call the AI intake line: (508) 952-6287

  1. Tell it what your business does and what work is eating time.
  2. It records the details and routes them. It does not sell or quote anything.
  3. The engineer reviews the conversation and follows up by the next business morning.

It can also book the free 30-minute engineer call for you right on the phone.