IT Consulting

The adoption of artificial intelligence in businesses often begins with a question: which model should we use? Although large language models offer advanced capabilities, not every task requires the same level of complexity. Small Language Models (SLMs) provide an alternative for certain processes where cost, speed, and control over information are particularly important. What are

When a SaaS company starts to grow, onboarding new customers shouldn’t mean multiplying infrastructure, maintenance tasks, or operating costs. However, the architecture on which the product was initially built can become a limitation. Multi-tenant architecture allows different customers to share technological resources while keeping their data and configurations separate. What is multi-tenant architecture? Multi-tenant architecture

Supplier onboarding may seem like a simple administrative task. However, in many companies it becomes a slow, fragmented process filled with small manual checks. Procurement requests documentation, administration reviews tax details, finance validates payment terms, legal checks contracts or certificates, and operations waits for the supplier to become active before work can begin. When this

In many companies, a significant amount of work is delayed because approvals are pending. A purchase is waiting for validation. A sales discount requires authorization. A budget is put on hold. An internal request gets lost in a chain of emails. A manager is unavailable, and no one knows who should approve in their place.

Many companies detect problems only after they have already had an impact: an order is delayed, a cost spikes, a metric drops, a customer complains, or a process stops working properly. In many cases, the warning signs were already there. The problem is that they were hidden among thousands of data points, emails, transactions, tickets,

A company may have a functioning platform, active customers, and a sales team ready to grow. But that does not always mean its technology is prepared to support the next stage. Sometimes, software performs well while volumes remain limited, but starts showing problems as the number of users, data, integrations, or business requirements increases. Technology

In many companies, stock management does not fail because information is unavailable. It fails because that information arrives too late, is spread across several systems, or depends on manual reviews. Sales works with one forecast. The warehouse operates with a different reality. Purchasing receives warnings when the problem is already urgent. And management only sees

Many companies know they have manual processes, repetitive tasks, and poorly connected tools. They also know that part of this work could be automated. The problem is often deciding where to start. Automating without a clear vision can lead to isolated solutions, difficult-to-maintain workflows, and new dependencies. An automation map helps organize opportunities and prioritize

Over the past few years, many companies have started using artificial intelligence to generate text, summarize documents, or answer questions. However, a large part of business information does not exist only as clean, structured text. There are also scanned invoices, photographs, forms, screenshots, blueprints, delivery notes, contracts, receipts, product images, and documents in different formats.

As a company digitizes its processes, more and more systems need to communicate with one another. The CRM needs to connect with the ERP, the e-commerce platform with the inventory system, sales tools with marketing platforms, and automations with different data sources. In this context, APIs are no longer just a technical matter. They become