Sitevision enables agentic AI – from answers to action

AI has quickly become a natural part of many digital workflows. We use it to write content, summarize information, improve search, and support everyday tasks. But this is only the beginning.

The next step is not just about better answers. It’s about AI that can do more than respond – AI that can retrieve information, use tools, and take the next step in the workflow.

Through tool calling, which enables agentic AI, AI can not only generate responses but also retrieve data, trigger logic, and interact directly with both Sitevision and external systems. This marks a shift from assisting in isolated tasks to actually driving processes.

From standalone AI features to orchestrated intelligence

At Sitevision Tech Summit, this was demonstrated in practice through a chatbot that, when it couldn’t provide an answer or received feedback, automatically sent a message to an internal channel. The result is that feedback is captured instantly, cases can be handled faster, and improvements can happen continuously.

When AI operates in the same environment as content, business data, and systems, something changes. It no longer just supports individual tasks – it becomes part of how work actually gets done. We are moving from AI as support to AI that can drive processes and create real outcomes. This is where the role of the platform becomes clear.

That’s why we continue to evolve Sitevision as a Digital Experience Platform, where AI is not an add-on but an integrated part of the whole.

Agentic AI shaped around your workflow

Tool calling is the technical concept that enables agentic AI.

When AI becomes part of the workflow, the way work is done also changes. It doesn’t just support – it drives the process forward. As we now open up for this in Sitevision, AI can shape experiences based on how we actually work. This can, for example, mean that AI can:

• retrieve and interpret content directly from Sitevision for better context
• use Sitevision APIs to read, update, and act on content
• retrieve and use data from external business systems
• trigger events within the platform or in other systems
• connect conversations to direct actions

This is where the real impact happens. When AI is applied to data, the way we work with insights changes – from understanding to taking action.