Artificial intelligence is becoming part of everyday digital work, but many teams still struggle to understand what it really means in practice. This presentation starts with the basics. We look at how large language models work, what AI assistants and agents actually do, and how chatbots, retrieval augmented generation, and AI-powered search differ from one another.
From there, we move into Drupal. We explore how AI can support editorial teams, improve content discovery, enhance internal workflows, and power smarter user experiences. The focus is not only on features, but on architecture and responsibility. Topics such as prompt engineering, cost optimization, data security, and governance are treated as core parts of the discussion, not afterthoughts.
The goal of this session is to provide clarity. By the end, participants should have a grounded understanding of how AI fits into a Drupal ecosystem, what problems it can realistically solve, and how to implement it in a way that is sustainable and aligned with organizational goals.