The deployment mechanisms of each organization tend to vary based on the industry, target users, and positioning of the product. Depending on the product being delivered, deployment can take place remotely or may involve the physical shipping or transition of the item(s). Because deployment often involves a high level of risk, organizations typically have well-defined and established deployment mechanisms, with detailed processes in place to ensure compliance with applicable standards and quality assurance factors. These might include sign-offs by specific management representatives, user approval mechanisms, and guidelines regarding the minimum functionality required for a release.
An AI-enabled digital Kanban tool ensures that all deliverables for releases are completed on time by managing dependencies and bottlenecks. It assists the Product Owner and Kanban Manager in approving work done through user stories, task groups, and tasks. Additionally, it enhances quality assurance by generating AI-powered test cases and running automated tests. The tool also integrates with DevOps and deployment platforms, facilitating a seamless and efficient release process.