Most companies are aware that artificial intelligence offers real and measurable business advantages. The question is no longer whether it is worth implementing AI, but how to do it quickly, efficiently, and predictably. Traditional project-based developments often respond too slowly to real needs: they are characterised by lengthy preparations, prolonged specification processes, and development cycles that often no longer align with the current challenges of the business environment by the time they are completed. As a result, even if a company invests significant resources, the solutions implemented do not deliver the expected results. The Forward-Deployed Delivery model addresses these issues. In this approach, DetSystems experts participate directly as part of the company's teams rather than as external suppliers. Instead of trying to assess the situation from a distance, the expert is present in the daily processes, understands the roles, operational specifics, and the actual obstacles that slow down or burden the company. Proximity ensures that solutions are not theoretical proposals, but rather ones that precisely fit the local operations. This type of collaboration works best when the company expects quick results or wants to develop multiple areas simultaneously. In such cases, the classic phased approach is too rigid: assessment and development cannot be separated in time, as new information affects priorities on a daily basis. The essence of the Forward-Deployed model is that assessment, solution building, and knowledge transfer happen in parallel. On the first day of the process, it becomes clear where AI is worth applying, and often the development of prototypes begins on the same day, while the team learns to use AI tools through real examples. The central element of this approach is the AI Office, which provides a flexible collaboration framework. The AI Office is not a pre-packaged course or consultancy, but rather an intensive joint effort where the AI expert works embedded within the operations of the company. It can be a single focused day, a multi-day sprint, or continuous presence. The goal remains the same in every case: to quickly identify the points where AI can create real value, and then immediately begin building these solutions. Meanwhile, the team is not a passive observer, but an active participant who learns to use AI, understands the operational principles, and also how to further develop the already established systems in the future. The development processes of Forward-Deployed Delivery are extremely flexible. The expert does not work according to a pre-written document, but instead shapes the solutions based on continuous feedback. This enables the company to achieve functioning prototypes within days, and also ensures that development genuinely responds to real business processes. Due to rapid iteration, the company can progress at the pace at which needs arise, while the expert guides the solutions towards optimal technical and business directions at each step. One of the most important outcomes of collaboration is that the company not only acquires AI systems but also builds internal knowledge and independent application capabilities. The team understands how to communicate with AI tools, how to build an agent or an automation, and how to transition from a working prototype to a live system. This mindset enables the company to develop a sustainable, self-confident AI strategy in the long term, so it is not dependent on external suppliers. As a result of Forward-Deployed Delivery, the company achieves functioning AI solutions in a very short time while also significantly developing the capabilities of its internal team. Developments remain scalable, secure, and commercially justified. Operations become faster, more cost-effective, and error-free, and the company adopts a mindset that allows for the continuous integration of AI into future processes. Therefore, this model is particularly valuable for organizations that want to become AI mature rapidly or operate in industries where digital competition is intensifying. Forward-Deployed Delivery is not just a technological development, but also an operational transformation: it can reorganize corporate workflows in a short time while building a stable foundation for long-term AI growth. Thus, the company becomes not a follower of AI trends, but an active shaper that can leverage the possibilities of artificial intelligence tailored to its own operations.