We propose SUPPLE (Sequence-Update Pattern-Based Processing with Logical Expansions), a new dialog management framework that takes the core concept of a dialog sequence as its main starting point. SUPPLE naturally enables the integration of the flexible and re-usable conversation patterns from the Natural Conversation Framework (NCF). Whereas NCF primarily provides a design framework, we developed a dialog engine and authoring framework that builds on the notion of a pattern for specifying sequence structure. In our approach we combine patterns with the key concepts of update strategies and agenda adopted from the Information State Update (ISU) approach. The main contributions of our work are the introduction of concepts and mechanisms for automatically managing dialog sequences. The framework is implemented as a cognitive agent, and we show through a cooking assistant case study how the agent keeps track of a recipe instruction agenda while allowing for user- as well as agent-initiated sequence expansions. conversational agents to co-regulate the conversation and thus allows for more flexibility.