Questions and answers
How much does it cost to bring AI into a business, and what decides the price?
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The short answer
There is no single price, because a few concrete things decide the cost: the task, the systems it has to connect to, how often it runs, where the AI runs and how much support you want afterwards. A good proposal separates the one-time build from the monthly running cost, so you can see both.
Two kinds of cost: building and running
Building is a one-time cost: understanding the process, connecting the systems, testing on your examples and training the team.
Running is ongoing: the AI service or the computer it runs on, any software subscriptions, and support. Some setups cost a little per use; others cost a fixed amount whether they are used or not. Which one is cheaper depends on how much the system is used.
What makes a project cost more or less
- How many systems it connects to, and whether those systems allow it easily.
- How clear the rules are. A task with clear rules is cheaper to build and test than one full of exceptions.
- How much it is used each day or month.
- Whether the data must stay on your own computers, which changes where the AI runs.
- How much checking a person does before anything goes out.
- The support you want after launch, including on-site days.
How to keep the cost sensible
Start with one process that matters, check whether it helps, then expand. Use the smallest model and setup that gives the result you need: larger is not always better, and it is always more expensive to run.
Ask for the running cost at your expected usage, not only the build price. A cheap build with an expensive monthly bill is not cheap.
What a clear proposal includes
The work and what you receive, the price and the dates, what is needed from you, the expected running costs listed separately, and what support covers after launch. If any of these is missing, ask.
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