AI is now being used in many Drupal projects, but most of the time we only think about content generation, chatbots, or calling an AI API.
In this session, I want to explain how Agentic AI can go one step further. An AI agent can understand a task, take decisions, perform multiple actions, and work with existing Drupal data and APIs.
I will share a few practical examples such as user follow-ups, lead qualification, marketplace matching, support tasks, and other repetitive business processes. I will also explain how Drupal can remain the main system for users, permissions, data, and business rules, while the AI agent helps to automate the workflow.
The main focus of this session is not only on the technology, but also on where Agentic AI can actually provide business value by reducing manual work, improving response time, and helping users complete tasks faster.
I will also briefly cover important points such as security, permissions, audit logs, and where human approval is still required.