Your own AI application or an off-the-shelf service: how to choose
An off-the-shelf service is almost always cheaper and faster — as long as your process matches the one it was built for. Here are the signs that the match has run out.
An off-the-shelf service is someone else’s decisions about how the process should run, fixed in an interface. You pay for the fact that they have already been made and tested on many companies.
As long as the third point does not get in the way, the off-the-shelf service is the right choice — and nobody should talk you out of it.
One sign is a reason to be patient. Three or more mean you are already paying for your own application — just with your employees’ time.
A process built around the way your team works, access to your own data without exports, and the ability to change the logic without waiting for someone else’s update.
Development, maintenance and responsibility for its evolution. An application does not end at launch: it gains users, and users have questions.
When the process brings in money or saves substantial time — and when you are ready to run it as a product, not a one-off task.
Between “putting up with off-the-shelf” and “writing our own” there is a third path: keep the off-the-shelf service as the core, and build a small application on top for exactly the part of the process the service does not cover.
Yes, and it is a common scenario. What matters is having export access to your own data from the start — otherwise the move becomes a separate project.
A first working version for one process usually takes weeks. It becomes long when people try to fit everything in at once.
The person who knows the process and can make decisions about it. Without them, development gets stuck in sign-offs.
It needs maintenance: model updates, changes in the process, user questions. That should be budgeted from the start.
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