Artificial intelligence
Where artificial intelligence creates leverage and where it doesn’t.
We care about one thing: where AI produces a measurable advantage. We use it when it takes over human work that adds no value, and we are just as explicit about the cases where it is better left alone.
Three cases where we use it
- 01
Reading and sorting documents
Orders, contracts, email, delivery notes: the system pulls out what matters and routes it, instead of having a person read and retype it.
The person stays on the exceptions: the lines the system does not recognise, not the ones it does.
- 02
Answering on company data
An assistant that knows procedures, price lists and client history, so the same question no longer has to go through the one person who knows.
In the system delivered in July it answers on the company’s leads, jobs and price list.
- 03
Noticing it earlier
Flagging anomalies, delays and stalled work while it can still be recovered, instead of finding out at month end.
A warning is only worth something if it reaches someone who can still act on it.
A document arrives, and nobody reads it twice
The most common case, end to end. Four steps, and only one needs a person.
- 01The order arrivesA PDF attachment, as always
- 02The system reads itLine items, quantities, terms, due date
- 03It routes itJob opened, warehouse notified
- 04A person decidesOn the exceptions only, not on everything
How it reaches production, and what happens when it does not answer
The model is a step in the flow like any other. This is the part that matters to whoever has to live with it every day.
Models in the pipeline
We know which version produced which result, and what happens when the model does not answer.
versioning · fallback · evaluation
Orchestration
If a step fails, the flow resumes from exactly where it stopped, and downstream the data stays correct.
retry · idempotency · dead letter
Integration with what is already there
The AI reads from and writes to the systems the company already uses: it is not an island with its own interface.
REST · GraphQL · webhook
Data and access
Profiled access, complete audit logs, data encrypted at rest and in transit. Development and data stay in Italy.
GDPR · SSO · audit log
We pick the stack by use case, not by fashion: how what we build holds up →
The part nobody writes down
Where we don’t use it
If a workflow is unclear, AI will not fix it: it runs the same mistake faster. Redesign first, automate afterwards.
- On a process nobody can describe in two sentences.
- Where a well-written rule does the same job, predictably.
- When the error costs more than the person who avoids it today.
Ask us whether it makes sense for you
The first conversation is free, and if the answer is no we will tell you.