As with any technological project, development timelines for AI agents vary strongly depending on industry requirements and demanded functionality. However, at Data Science UA, we usually aim to present first tangible results within a few weeks. During primary estimations, our experts also take project complexity, data availability, and integration needs into account, to provide the client with a comprehensive and transparent assessment.
AI agent development stages usually include strategic consulting, dataset preparation, model training, testing, fine-tuning, and final model deployment. Although, with the use of agile methodologies, we offer companies rapid prototypes early and create the room for iterative improvements throughout the project.
In some cases, phased rollouts are also an available option, which allows businesses to test features gradually and adopt the solution at an optimal pace. The primary goal for this collaboration model is to align AI agents with client’s internal readiness level, infrastructure, and strategies.