{"id":121700,"date":"2026-06-02T10:01:08","date_gmt":"2026-06-02T08:01:08","guid":{"rendered":"https:\/\/simplifier.io\/?p=121700"},"modified":"2026-07-14T09:43:43","modified_gmt":"2026-07-14T07:43:43","slug":"webinar-ai-needs-orchestration-with-atvantage","status":"publish","type":"post","link":"https:\/\/simplifier.io\/en\/events\/webinar-ai-needs-orchestration-with-atvantage\/","title":{"rendered":"Webinar “AI needs orchestration” with ATVANTAGE"},"content":{"rendered":"
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Why Agentic AI requires a new automation architecture<\/h3>\n

Companies are currently investing heavily in artificial intelligence. New AI tools are emerging almost daily, the first AI agents are taking over operational tasks and many organizations are experimenting with intelligent automation solutions. But while the possibilities are growing, a new problem is emerging: automation itself is becoming increasingly complex. Where individual processes used to be automated, applications, data sources, workflows, employees and AI agents now have to work together seamlessly. Without overarching control, there is a risk of new silos, a lack of transparency and a loss of governance. <\/p>\n

The crucial question is therefore no longer:<\/p>\n

How do we use AI? <\/strong>… but … How do we intelligently orchestrate AI, processes, systems and people?<\/strong><\/p>\n

The next evolutionary step in automation<\/h3>\n

Many companies already have a variety of automation and integration solutions. RPA platforms, BPM systems, low-code applications, integration tools and AI services often exist side by side. The emergence of Agentic AI is further exacerbating this situation. <\/p>\n

Unlike traditional automation, AI agents do not work exclusively on the basis of rules. They analyze information, make decisions, use different systems and independently control multi-stage processes. This makes it possible to automate processes that were previously too complex or too dynamic(atvantage.com<\/a>). At the same time, however, the need for control, transparency and traceability is increasing, because the more autonomous systems interact with each other, the more important the question becomes: who actually keeps track of everything? <\/p>\n

Why orchestration is becoming a decisive success factor<\/h3>\n

This is precisely where the concept of orchestration becomes increasingly important. While many companies today optimize individual technologies, the ability to combine different components into a controllable overall system is increasingly coming to the fore. In this context, industry analysts and technology providers are increasingly talking about so-called Business Orchestration and Automation Technologies (BOAT). The idea behind this is to no longer view automation, integration, processes and AI in isolation, but to coordinate and control them centrally(Gartner<\/a>). <\/p>\n

Orchestration ensures that:<\/p>\n