How many hours each week does your team spend copying data from one program to another, or trying to adapt to a management system designed for someone else?
Often, the right tool isn’t available on the market, and until recently, building it was an investment reserved for large companies.
Today, artificial intelligence speeds up code writing and brings projects that would otherwise have remained on the back burner to life.
Coding has become the fastest part of the job.
Value lies in deciding what to build, making it safe, and ensuring it lasts.
This is where we support you—from the initial development process to the software in use.
Many small and medium-sized businesses use a management system that has been forced to fit their needs, a collection of spreadsheets that keep track of processes, and tools that struggle to communicate with one another.
Every manual step takes time and leaves room for errors.
Artificial intelligence has significantly reduced the cost of building a custom application, and development times have been shortened.
There are three things left to address:
We know this because we do it for ourselves, too.
JABE, the internal platform we use to manage keyword research, CRM, projects, and finance, was built using AI: it took about 325 hours of work—some of which is still in progress—and it confirms that the most valuable time is spent on decision-making, rather than on code.
We work with companies that have a critical process but no tool that truly tracks it.
Every project follows the four phases of the FARO method: first, we decide what’s worth building; then we build it; then we measure it.
It involves building custom applications in which artificial intelligence writes and verifies part of the code, under the guidance of people who determine the architecture, security, and priorities.
It reduces development time and costs and makes tools—including methodologies, testing, and maintenance—that were previously reserved for large companies accessible to SMEs.
A tool designed around the way you work streamlines your workflow and frees up your time.
It is one of the AI services we use to support companies, from the initial analysis to employee training.
Standard software is a good choice when the process is common to the industry and the product covers it almost entirely.
Custom solutions are worthwhile when the process itself is a competitive advantage, when you need features that off-the-shelf products don’t offer, or when you’re paying for licenses for features you don’t use.
Often, the best choice is a combination of the two approaches.
The price is determined based on the project, following an analysis of the process. The factors that determine it are:
Starting with a prototype allows you to assess its value with an initial, modest investment.
The method remains the same; what changes are the questions we ask the entrepreneur, the tools we decide to use, and the timing of the decision. These are the four areas where we have the greatest depth of expertise.
Our work begins before the code: which processes warrant a dedicated tool, what’s worth buying off-the-shelf, and how to measure the results.
Then we build using AI, with testing, security, and maintenance defined from the very beginning. The decision-making and implementation remain in the same hands.
It depends on the project: the complexity of the process, the required integrations, and the format of the source data.
AI shortens development times; a clearly defined scope is what makes them predictable. Development times are estimated after the process is analyzed.
It is achieved through the following methods: code review, automated testing, access control, and data protection before each release.
AI writes quickly; the responsibility for what is ultimately used rests with the people leading the project.
Yes. Often, the first step is to add AI features or integrations to an existing tool: connecting the ERP system to the CRM, or pairing it with an assistant that provides insights based on company data.
Maintenance is part of the project from the very beginning: updates, fixes, and new features follow an agreed-upon schedule.
Training and documentation enable the company to understand and manage the tool.
When the management software provides integration interfaces, yes.
Possible additions are identified during the initial analysis, before any development takes place.
It depends on the complexity of the process, the integrations, the number of users and roles, the data to be migrated, the security requirements, and the maintenance plan. The price is determined after the analysis.
This is the approach we recommend: a well-defined process, a prototype, and a way to measure the results.
If the tool works, it expands; if a change in direction is needed, the initial investment remains modest.
During our first meeting, we’ll analyze the process together and determine whether a custom solution, a ready-made solution, or a combination of the two is best for you.
Factory Communication supports companies and SMEs throughout Italy with an ethical and measurable approach.
