{"id":4830,"date":"2025-10-14T12:32:51","date_gmt":"2025-10-14T10:32:51","guid":{"rendered":"https:\/\/www.elementlogic.net\/au\/?post_type=insight&p=4830"},"modified":"2025-10-15T08:59:44","modified_gmt":"2025-10-15T06:59:44","slug":"the-state-of-ai-in-automation-what-works-today","status":"publish","type":"insight","link":"https:\/\/www.elementlogic.net\/au\/insights\/the-state-of-ai-in-automation-what-works-today\/","title":{"rendered":"The State of AI in Automation – What Works Today"},"content":{"rendered":"
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The State of AI in Automation – What Works Today<\/h1>\n\n
Insights<\/a><\/span> \/ The State of AI in Automation – What Works Today<\/span><\/span><\/div>\n<\/div>\n\t\t<\/div>\n\n

There is a lot of noise in the automation market about artificial intelligence. But when you cut through the hype, the truth is that most AI today is not delivering on its promise – at least not outside of tightly embedded applications.<\/p>\n\n

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Where AI is working well is inside hardware. Take our Boston-based partner RightHand Robotics<\/a>: the way they apply learning algorithms to their camera vision and robotic picking allows for more accurate picking which gets better for every pick made. Or Omnimod<\/a>, with its machine-learning camera-system that optimizes carton routing for better sequencing and flow of goods. These are focused, AI-embedded equipment – and they work. <\/p>\n\n\n\n

 
But the disruptive opportunity lies elsewhere: AI that operates across systems. Software that sees the bigger picture, connects the dots between AI-embedded equipment, teams, and data flows – and turns trends and events into action. <\/p>\n\n\n\n

Orchestration that Connects the Dots<\/strong> <\/h2>\n\n\n\n

At Element Logic, we do not just invest in building features – we build orchestration. <\/p>\n\n\n\n

Our hardware-agnostic software suite is purposefully designed to integrate with a wide range of best-in-class technologies, from AutoStore to AMRs to conveyors and packing systems. This flexibility enables us to act as the \u201ccentral nervous system\u201d of warehouse operations – connecting inputs, orchestrating outputs, and creating an end-to-end flow of intelligence. <\/p>\n\n\n\n

It is not just about collecting data \u2013 it is what you do with it. As Christian Rognes, our Group Chief Product Officer, puts it:<\/p>\n\n\n\n\t\t

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AI should not just give you dashboards. It should suggest and sometimes execute solutions – and learn from them. That is the power of orchestration. Instead of static reporting, you get dynamic decision-making: automation that sees, understands, and adapts in real time.<\/p>\nChristian Rognes, CPO at Element Logic<\/cite>\n\t\t\t<\/div>\n\t\t<\/blockquote>\n\n\n

\u201cAI should not just give you dashboards. It should suggest and sometimes execute solutions – and learn from them. That is the power of orchestration. Instead of static reporting, you get dynamic decision-making: automation that sees, understands, and adapts in real time.\u201d <\/p>\n\n\n\n

AI That Acts, Not Just Observes<\/strong> <\/h2>\n\n\n\n

Let us ground this with a simple, real-world use case. In our eManager<\/a> platform, a human picker receives an item at a port, picks it, places it into a carton, and confirms the pick on a screen. But camera systems are already advanced enough to recognize actions like picking or placing items without manual confirmation. <\/p>\n\n\n\n

As this technology matures, orchestration platforms will be able to interpret these signals directly and trigger the next step automatically. This reduces friction, cuts errors, and enables smoother collaboration between people and systems. At Element Logic, we are building the orchestration layer that can turn system observations into intelligent action – because AI should not just see, it should act. <\/p>\n\n\n\n

Putting People at the Core of Tech<\/strong> <\/h2>\n\n\n\n

Element Logic is not just a robotics partner or automation system integrator \u2013 we are becoming a technology company.<\/p>\n\n\n\n

That means we are not just adding features; we are designing outcomes. We follow a proven Product Operating Model, as you\u2019ll find in the best technology organizations in Silicon Valley or elsewhere, which emphasizes:<\/p>\n\n\n\n