What it actually takes to add AI to software you already run

The work is mostly endpoints, data handling and ownership. Very little of it is the model.

Hitasoft engineering9 min read

Most of an AI integration is not modelling. It is deciding which endpoint gets called, what happens to the data on the way there, and who holds the thing afterwards.

The model is the easy part

Choosing between hosted and open weight takes an afternoon. Working out whether your data is allowed to leave the building takes longer, and it decides the first answer rather than the other way round.

The middleware is where the time goes. It has to speak your system's API, handle the cases the model gets wrong, and keep a record somebody can read six months later.

If nobody can say where the keys end up, you are buying a dependency rather than an integration.

Wondering what this would take against your own systems?

The review is a fixed price, and you keep the costed plan and the risks whether you go ahead or not.

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Hitasoft engineering

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Hitasoft has built software since 2008, for companies that mostly do not have an IT department. These pieces are written by the people who do the integrations rather than by anybody in marketing.

Next step

Let AI do the repetitive
half of the job.

Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.

Eighteen years of excellence