There's no honest sticker price for a custom AI system — here's what actually drives the cost, and how we put the ROI in writing first.
There's no honest sticker price, because the cost depends on what you're solving — the number of systems involved, how many tools have to be integrated, and the state of your data. That's why every engagement starts with a paid diagnostic that puts the scope, cost, and expected ROI in writing before any build begins. The guiding rule: we don't propose a system unless the math works, and most pay for themselves inside a year.
Every operation is different, so a flat price would either overcharge the simple job or under-scope the hard one. A number that means anything has to come after we understand the work — not from a pricing page.
The diagnostic gives you that real number, in writing, before you've committed to building anything.
Four things move the number more than anything else: how many use cases or systems you're solving at once, how many tools have to be integrated, how ready your data is, and whether you want us to operate and improve the system after launch.
A single workflow on clean, well-connected tools is a smaller build than several systems stitched across legacy software and scattered, manual data. The diagnostic prices what's actually in front of you.
Return shows up in three places: hours saved when back-office work is automated, revenue captured when calls get answered and leads get followed up, and roles reallocated from paperwork to work that actually grows the business.
In delivered engagements and live POCs that has looked like a lead-gen agent driving a 10× increase in top-of-funnel and 3× the meetings set, a staffing firm's sourcing agent tripling bid submissions, and payroll agents saving roughly 60 hours a month per 100 employees. Those are real field outcomes, not promises — the diagnostic estimates what's realistic for you, specifically.
The diagnostic is a paid engagement that takes about one to two weeks and ends with scope, timeline, and expected ROI in writing. There's no obligation to build afterward.
Either way, you leave knowing exactly what's costing you and what to fix first — a plan you own whether or not you build it with us.
| Driver | Lower cost | Higher cost |
|---|---|---|
| Scope | One workflow | Several connected systems |
| Integrations | Tools with clean APIs | Legacy or many tools |
| Data readiness | Clean, centralized | Scattered, manual |
| After launch | You run it | We operate & improve it |
Yes — it's a paid engagement, because it produces real work: a map of how your business runs and a written plan with scope, cost, and expected ROI. You own that plan whether or not you build with us.
Most pay for themselves inside a year, through hours saved, revenue captured, or roles reallocated to higher-value work. The diagnostic estimates the payback before you commit.
Some systems run on third-party services — telephony or model usage, for example — that carry their own usage cost, and you can optionally have us operate and tune the system after launch. We put all of it in writing up front, so there are no surprises.
Then we'll tell you. Sometimes the right answer is a better-configured off-the-shelf tool, and we'd rather say so than sell you something you don't need.
The fastest way to a real answer is a free call about your own operation — where AI pays off, and whether there's a fit. No pitch, no commitment.
Book a free discovery call