AI transformation: what it actually costs.
“AI transformation” is the most expensive phrase in business software, mostly because nobody attaches a number to it. Here is the number — or rather, the ladder of numbers, because transformation is not one purchase.
$1,500 — a working customer-service assistant, your entry to AI. $3,500 — a full chat, voice, web or mobile build. $7,500 — integrated with your systems and SSO. $24K–$95K — a production agent owning one real workflow. $120K–$500K a year — multi-workflow programmes. To $1.2M a year — platform licences and AI workforces. Every number is on the pricing page, before you talk to anyone.
The mistake that makes it expensive
Most organisations approach AI as a strategy exercise: a committee, a landscape review, a roadmap, a vendor selection, and eighteen months later a pilot that never ships. That path costs six figures before anything touches a customer, and the research is unkind about where it ends — the large majority of proofs-of-concept never reach production.
The alternative is unglamorous and it works: buy one small working thing, put it in front of real users, measure it, and let the result decide the next purchase. That is why our ladder starts at $1,500 rather than at a discovery engagement.
What each rung actually buys
The first rung is not about ROI, it is about evidence. A $1,500 assistant answering your most repetitive customer questions tells you, within two weeks, whether your content is good enough, whether your team will adopt it, and whether your customers will use it. Those three answers are worth more than any strategy deck, and you cannot get them from a slide.
The middle rungs are about ownership of a workflow. At $24K–$95K you are not buying a tool, you are buying an agent that owns a process end to end with an accuracy bar agreed in advance. This is where measurable cost recovery starts.
The top rungs are about the operating model. At $120K and above you are sequencing many workflows, and the value compounds because the integrations, evaluations and trust you built for the first one carry into the next.
How to budget honestly
Take the workflow that costs you the most in salaried hours. Price it: people × hours × loaded rate × 52. That annual number is your ceiling. Anything you spend below it that removes a meaningful share of that work pays back. If the workflow does not have a number, do not automate it yet — you will not be able to prove it worked.
Start at $1,500 and climb only when the result justifies it. The whole ladder is published, so you can plan three years out without a single call. Every build ships in your cloud, under your accounts, with the repository in your name. See your price in three questions, grade us first with the AI Vendor Scorecard, or book a call with an Applied AI Scientist.