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    DeploymentsMarch 10, 20269 min read

    How much does AI implementation cost, and what determines the price?

    The honest answer is: it depends, but we can be specific about what it depends on. We break down automation implementation costs into their basic factors and show how to calculate the return.

    Three factors that really affect the price

    The cost of implementation mostly depends on three things:

    The scope of the process, automating a single document workflow costs a fraction of what a system connecting five departments would. That is why we start with a single process.
    The state of your data and systems, if a company's data is organized within accessible systems, implementation moves quickly; if knowledge lives in emails and in people's heads, you need to add a cleanup stage.
    Security requirements, a private model on your own infrastructure is an investment in hardware that pays for itself through control over your data and no per-query fees.

    Why don't we publish a "from-to" price list?

    Ranges without analysis are dishonest in both directions: either inflated "just in case", or lowballed to attract you, only to grow along the way. Instead, we quote after a free consultation, based on a specific process.

    A good quote contains three numbers: the implementation cost, the maintenance cost, and the estimated monthly savings. Only putting these three numbers side by side tells you whether the investment makes sense, and that is the comparison you should demand from every vendor.

    How do you calculate when an implementation pays off?

    The simplest measure: how many hours of work per month the automation saves, and how much those hours cost. Implementations that start with a single, well-chosen process usually pay for themselves within the first year, often sooner.

    It's worth adding things that are harder to measure to the calculation: fewer errors (every error in an invoice or a quote has its own cost), faster customer service (less lost sales), less dependence on individual people. These have no line item in a price list, but they do have value on the balance sheet.

    Real-life example

    A real-life calculation: a sales team prepares 40 quotes a month, each taking an hour. After automation, 10 minutes to check and send. Savings: over 33 hours a month, almost a full week of a salesperson's time. On top of that, quotes go out the same day, so the company loses the race to competitors less often.

    The costs vendors are reluctant to mention

    An honest picture also requires the other side: automation comes with maintenance costs. Systems need updates, integrations need attention after changes in the connected tools, and assistants need retraining on new cases.

    That is why in every quote we always separate the implementation cost from the monthly maintenance cost. A company that knows both numbers upfront does not run into surprises six months in.

    One way to lower the entry cost

    Start with a workshop. The team learns to build simple automations on its own, leaving specialists to handle what requires integrations and work on sensitive data. Part of the "implementation" work then gets done by the company itself, consciously and more cheaply, before you ever pay a vendor to automate the first process.

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