IT Consulting

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

Expense management may appear to be a straightforward administrative process. However, in companies with professionals distributed across different projects, clients or locations, it can easily become a constant source of delays, errors and manual work. Receipts sent by email, photographs stored in shared folders, incomplete information and approvals involving several people are part of everyday

A technology solution may work correctly while a company has only a limited number of users, customers or processes. The problem arises when the business grows and its systems begin to fail, slow down or require increasing amounts of manual work. Technological scalability makes it possible to anticipate this scenario without overinvesting from the outset.

A demonstration can make an artificial intelligence solution appear convincing. However, answering a few questions correctly does not guarantee that it will perform reliably in a real-world process. Generative AI evaluation makes it possible to determine whether a solution meets the quality, cost and security requirements of the business. Why is evaluating AI different? In

As a company expands its digital products, its technology teams must manage an increasing number of environments, tools, permissions and processes. Platform engineering aims to reduce this complexity by creating a shared foundation that makes software development and delivery easier. What is Platform Engineering? Platform engineering is an approach based on creating an internal technology