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Why now
AI got cheap. Your competitors noticed.
Its cost fell 280-fold in two years. Two in three US small businesses say they use it. Here is the evidence, what waiting costs you, and the honest risks.
- Every figure linked to its source
- Your own numbers in 3 minutes
- "Not yet" is still an answer
1 · The price
What cost dollars now costs cents.
The price of trying AI is no longer what holds a business back. Deciding where to start is.
The cost of running an AI system at the level of GPT-3.5 (Stanford AI Index, 2025).
2 · Your competitors
Two in three small businesses say they already use AI.
Your customers compare you with whoever answered first.
3 · The gap
The businesses using it are pulling ahead.
Larger firms kept adding AI while the smallest stood still. That is a link, not proof of cause, but it shows which way the market is moving.
4 · The window
Most have tried it. Few have put it to work.
Saying you use AI and paying it to do real work are different things. Starting now still puts you early.
Two studies that measure different things: what owners say (US Chamber of Commerce, October 2026) and what they pay for (JPMorgan Chase Institute, April 2026). The gap between the two is the point.
5 · The cost of waiting
Every month you wait has a price in dollars.
Late replies and repetitive admin cost the same next month as this one. Waiting adds them up.
Example: 10 inquiries a week answered late, 1 in 5 would have become a customer worth $300, and 8 hours a week of admin at $25 an hour. Your numbers will differ: work out yours.
6 · Later is not easier
Starting later means results later.
Your company brain takes time
Every AI job starts from how your business works, written down. It gets better with each job.
Each job needs a month of numbers
We measure one job for a month before the next. Start in six months, and your first results come in seven.
Your team learns by approving
A few weeks of approving drafts is how staff learn to trust and steer it. That part cannot be rushed.
The honest part
Most AI projects fail. So we start small.
Rushing in is as costly as waiting. These are the guardrails we use instead.
- One job at a time, measured for a month in your own numbers
- A person approves anything that touches a customer or money
- A fixed price, in writing, before we start
- Stop after any step and keep what you paid for
- The $750 audit is credited in full to a build within 60 days
Questions
Still deciding?
Should we wait until AI gets better?
It will keep getting better, and what you build now gets better with it. The AI models underneath can be swapped for newer ones, while your company brain and workflows stay yours. Waiting only delays the month of numbers that tells you whether it pays.
Is it too early for a business our size?
For some businesses it is, and we'll say so. The three-minute check answers "not yet" when missed inquiries and admin cost you less than about $500 a month.
What if we start and it doesn't work?
You'll know within a month, in your own numbers. Each step is priced on its own: stop after any step and keep what you paid for. The $750 audit is credited in full to a build that starts within 60 days.
Our competitors are not using AI. Why should we?
Some of them are, and you may not see it: a reply that arrives in a minute looks like a fast receptionist. 66% of US small businesses say they use AI (US Chamber of Commerce, October 2026). If yours really aren't, answering first is easier to win now than later.
The right amount of AI
Find out what waiting costs your business.
A free 30-minute call. We'll put a dollar figure on your biggest leak, or tell you it can wait.
Fixed pricing · 100% client-owned systems · Pay at wholesale API cost