{"id":3373,"date":"2025-08-20T01:00:59","date_gmt":"2025-08-20T04:00:59","guid":{"rendered":"https:\/\/nextage.com.br\/blog\/?p=3373"},"modified":"2026-03-11T10:40:23","modified_gmt":"2026-03-11T13:40:23","slug":"it-project-validation","status":"publish","type":"post","link":"https:\/\/nextage.com.br\/blog\/en\/it-project-validation\/","title":{"rendered":"IT Project Validation in Agile Methodologies: The key to Success"},"content":{"rendered":"

Agile methodologies<\/a> have changed the way software is developed. They brought speed, short cycles, continuous delivery, and a culture of rapid adaptation. For IT directors, this model is almost mandatory today. According to <\/span>VersionOne<\/span><\/a>, 95% of organizations have already adopted agile practices at some level.<\/span><\/p>\n

The challenge is that validation, when done in a traditional way, can take up too much time. Manual testing, lengthy reviews, and extensive approvals end up delaying cycles that should be short. In an agile environment, every sprint needs to move fast, and when validation can\u2019t keep up with that pace, the benefits of agility are lost. This is where artificial intelligence makes a difference, accelerating validation without sacrificing quality.<\/span><\/p>\n

And here\u2019s the key question: in an agile cycle, where does validation begin, and where does it end?<\/span><\/p>\n

\"Professional<\/p>\n

How Does Project Validation Work in the Agile Cycle?<\/span><\/h2>\n

Validating deliveries isn\u2019t just about running tests to make sure the system doesn\u2019t break. It\u2019s about ensuring that what has been developed actually meets the real needs of the user or the business area.<\/span><\/p>\n

That means validation goes beyond code. It involves confirming value, usability, and alignment with the project\u2019s objectives. In practice, it starts very early, right in the backlog refinement, when user stories are defined. If a story doesn\u2019t make sense, you already have a validation problem.<\/span><\/p>\n

And when does it end? It doesn\u2019t stop at technical approval. Validation is only complete when the delivery reaches the user and generates a positive impact. In other words, it\u2019s a continuous process that permeates the entire agile cycle.<\/span><\/p>\n

The Role of Agile Methodologies in Validation<\/span><\/h2>\n

Frameworks like Scrum and Kanban already include checkpoints. The sprint review, for example, is a clear opportunity for validation: the team demonstrates what was built, and the client assesses whether it meets expectations.<\/span><\/p>\n

The problem is that, when validation happens in a traditional way, it tends to be slow and unable to keep up with agile cadence. Manual tests and long approval stages delay cycles that are supposed to be fast. On top of that, business teams often take part in validation without having enough technical knowledge to evaluate thoroughly, which leads to mistakes or superficial approvals. The result is a process that consumes time and still leaves quality gaps.<\/span><\/p>\n

This is where AI naturally connects with agile: automating tests, anticipating failures, and providing continuous feedback. Validation then becomes a seamless part of each sprint, ensuring fast and reliable deliveries.<\/span><\/p>\n

\"Woman<\/p>\n

The Challenge of Validation in Traditional IT Flows<\/span><\/h2>\n

For IT directors and managers, validating deliveries is a recurring pain point. Some common obstacles include:<\/span><\/p>\n