From prototype to production product.

Solution
Scale
Effort
1.5 FTEon average
Together for
2 yearssince 2024
Status
Active

01 · The client

A company bringing AI into the enterprise, with a product that answers questions by drawing on a client's internal documents. A small team, deep domain expertise, and development outsourced.

Type
AI software company
Region
Italy
People
Under 20
Stage
Growing

02 · The trigger

They had a prototype that proved the idea: it ingested documents, answered questions, and won people over in a meeting.

Then came the moment to sell it to someone who would use it every day, and the gap between the two became the problem.

03 · The technical problem

A prototype like this works because whoever demos it knows which questions to ask and which documents to load. In production, badly formatted documents arrive, questions come in unexpected shapes, and volumes are unknown in advance. The document-processing pipeline has to become reliable and traceable: when an answer is wrong, you need to be able to trace back what produced it.

04 · What we did

We kept what worked in the prototype and rebuilt everything around it: document handling, user access, infrastructure. The load-bearing decision was separating the experimental side from the part serving customers — so the product's evolution wouldn't put existing users at risk. And infrastructure that scales itself, because nobody knew how many users would show up.

05 · The partnership

  1. 2024

    From prototype to product

    Documents, access and infrastructure rebuilt.

  2. 2024

    Experiments kept apart

    Evolving the product never touches the people using it.

  3. 2025

    In the hands of end users

    Infrastructure that sizes itself.

  4. Today

    Ongoing partnership

Before

UsersPrototype · one environmentInterfaceDocument processingLanguage modelevery experiment reaches customers at once

After

UsersServes customersUser accessTraced documentsLanguage modelExperimentsisolated trialsinfrastructure that sizes itself
  • Only what is ready moves into the live product
The part that experiments, kept apart from the part that serves customers: the product can evolve without putting its current users at risk.

06 · Where things stand now

The product is in end users' hands and keeps growing. The relationship is active, and it came through a referral from another client.