In a recent interview with ELO Digital Office, Dr. Alexander Swienty, Head of Channel Manage­ment at Insiders Tech­no­lo­gies, discusses the evolution from tra­di­tional AI systems to Agentic AI. The con­ver­sa­tion focuses on how orga­niza­tions can suc­cessfully integrate AI agents into their existing business processes and IT land­scapes.

Unlike tra­di­tional AI, an AI agent is not limited to a single, clearly defined task. Instead, it assumes a role with its own respon­si­bi­li­ties. For example, an agent can process an entire mixed inbox by clas­si­fying documents, routing them to the appro­priate workflows, extra­c­ting relevant metadata, and vali­da­ting the quality of the results.

One thing becomes clear: Agentic AI is not a plug-and-play tech­no­logy. Orga­niza­tions need a thorough under­stan­ding of their processes, data, and system inter­faces to prepare for its suc­cessful deploy­ment.

“It’s not about covering up poor processes with AI.“

Clean data, clearly defined respon­si­bi­li­ties, and trans­pa­rent decision-making are essential pre­re­qui­sites. The greater the autonomy of an AI agent, the more important gover­nance, trans­pa­rency, and human oversight become.

Alexander Swienty therefore compares onboar­ding an AI agent to onboar­ding a new employee. Just like a new team member, an AI agent needs clearly defined respon­si­bi­li­ties, access to the right infor­ma­tion, appro­priate tools, and an under­stan­ding of the orga­niza­ti­on’s processes.

The full interview explores where AI agents are already creating mea­surable effi­ci­ency gains, how col­la­bo­ra­tion between people and AI will evolve, and the capa­bi­li­ties orga­niza­tions should start building today.