Artificial intelligence for business
NexCo Technologies · Rome, Italy · For institutions, SMEs, startups and large companies
The problem comes before the model.
Useful information may be spread across procedures, documents and applications. People need to find it, understand what is current and turn it into action. An AI system can help with some of these steps, but its usefulness depends on source quality and the setting in which it is used.
NexCo Technologies supports businesses and institutions in analysing the use case, preparing information and developing a prototype. We define what the system needs to do, when it should refer to a person and which tests can evaluate it. A plausible answer is not enough: it must be possible to check it.
From need to project.
- Assistants using your organisation’s sources
- Conversational interfaces to consult selected pages and documents. Accessible sources, information updates and handling unanswered questions are designed alongside the user experience.
- Information classification and analysis
- Prototypes to organise documents, extract useful details or assist reading. We prepare representative examples and compare outputs with expected results, highlighting cases that need human verification.
- AI within a process
- Connections between the AI system and work tools, with bounded access and actions. We assess where confirmation is needed, which operations to log and how to keep errors and responsibilities visible.
How we work on your project.
Define the use case and sources
We choose an activity, the people involved and the material that can be used. We check availability, currency and access permissions before selecting the tools.
Build a prototype
We prepare a set of test questions or documents and develop the core workflow. We compare answers, sources and behaviour in incomplete or ambiguous cases.
Assess usefulness and limitations
We examine quality, errors, response times and usage costs in the defined setting. The evidence informs how to refine the prototype and whether to proceed towards operational use.
Projects and research.
What we are developing and the questions we start from.
Useful questions.
Do our documents need to be sent to external services?
That depends on the architecture and providers chosen. Before development, we assess which data can be used, who can access them and where they are processed. Service conditions and the organisation’s needs guide the solution.
Can the assistant answer only from selected sources?
We can design a workflow that retrieves information from a defined set of sources and displays references. This narrows the search scope but does not eliminate errors: testing, controls and clear behaviour when a reliable answer is unavailable are needed.
How do we know whether AI is useful for our case?
Through tests based on the actual activity and criteria agreed in advance. We can observe answer quality, errors, corrections needed, time and costs. Results guide the decision without assuming that AI is the best solution from the outset.