The short answer
Most business AI implementations in 2026 fall into three bands: a focused pilot typically runs from roughly $5,000 to $25,000, a production-grade single workflow from about $25,000 to $100,000, and a multi-department platform well beyond that. The wide ranges are honest — price depends far more on scope, data readiness and integration depth than on the AI models themselves.
Beware anyone who quotes a precise number before understanding your data and processes. A credible estimate follows a discovery conversation, not a price list.
What actually drives the cost
Four factors move the price most. Data readiness: clean, accessible data is cheap to use; scattered or messy data needs work first. Integration depth: connecting to a modern API is simple, but legacy systems add effort. Accuracy requirements: a marketing draft tolerates mistakes a financial or medical workflow cannot. And ongoing scope: usage, monitoring and maintenance are real recurring costs, not afterthoughts.
Notably, the AI model API fees are often the smallest line item. The engineering around the model — retrieval, guardrails, integrations and testing — is where most of the value and most of the cost sit.
Why pilot first
A scoped pilot on one painful workflow is the cheapest way to de-risk a large investment. It surfaces data problems early, proves real ROI with your numbers, and gives the team a working reference before you commit to a platform. Spending a fraction up front to avoid a six-figure mistake is simply good budgeting.
Thinking about ROI
Judge cost against the value it unlocks, not in isolation. Tie every project to a measurable outcome — hours saved, response times cut, conversion lifted or errors reduced — and set those baselines before you start. A well-chosen first workflow often pays back within months, which is what justifies the next one.
Spending wisely
The cheapest project is not the one with the lowest invoice — it is the one that works, scales and doesn't need rebuilding in a year. We price transparently, start small, and only recommend scaling once a pilot has earned it. That keeps your spend tied to proven results.
