Brownbag | Smarter AI agents through context

AI agents only become truly powerful when they work with the right context. In this brownbag, you’ll discover what MCP (Model Context Protocol) and context engineering mean in practice, and why they are crucial for scalable and reliable AI applications in software delivery.

We’ll also showcase a new capability within SQAI Suite: the Virtual Analyst. This AI capability supports teams in analyzing requirements, documentation and existing artifacts, helping them generate insights, test scenarios and consistent analyses faster.

We combine the technical foundations of context-driven AI with concrete demos of how AI can already act as a digital analyst within QA and delivery processes today.

During this brownbag session we will:

• Learn what MCP and context engineering concretely mean for AI in software delivery
• See how the Virtual Analyst in SQAI Suite turns requirements and documentation into actionable test insights
• Gain insight into how to deploy AI agents more reliably and at scale through the right context structure