The coding is done. The logic works. And yet the real effort is just beginning. Building, testing, validating, deploying. This is where engineering becomes complex, and this is also where today’s AI tools usually step aside. They help generate code, but they don’t carry it forward.
Automation Studio Agentic Bridge, powered by B&R, changes that.
Instead of stopping at suggestions, AI becomes an active part of the workflow. It understands project structures, generates and adapts automation logic, and continues with build, test and deployment preparation in a connected process. This turns isolated support into continuous execution. AI operates in loops of reasoning, acting and validating results in real project environments, ensuring that what is created is immediately tested and refined. The impact is tangible. Engineering cycles become shorter, results more predictable, and productivity increases across entire projects rather than individual steps. At the same time, knowledge is embedded in workflows, reducing dependency on individual experts and enabling teams to scale more effectively.
Your Project. Your tools. Your AI.
What makes B&R’s approach fundamentally different is how it is built. Instead of locking customers into a single AI assistant or a closed ecosystem, B&R follows an open, model-agnostic approach. Companies can use the AI agents and models they already trust and combine them with full automation context provided through the platform. This also makes it possible to switch to a different agent at any point in time. As a result, customers can continuously stay at the forefront of innovation, easily adopting the latest AI developments as models evolve, without being tied to a fixed solution.
Built for industrial reality.
This openness is not just a technical detail. It is what enables Automation Studio Agentic Bridge to work in real industrial environments. Existing projects in Automation Studio do not need migration, established workflows remain intact, and companies stay flexible as AI technology evolves. At the same time, agents operate with deep understanding of B&R automation structures. The result is a shift from isolated efficiency gains to measurable impact across the entire engineering lifecycle. Development cycles become shorter, outcomes more predictable and engineering productivity scales beyond individual expertise.
Never code alone.
For engineers, this changes the role of AI fundamentally. It is no longer just a tool that supports coding, but a co-worker that executes defined steps in the workflow. Engineers stay in control but spend less time on repetitive execution and more on solving real problems.
Automation Studio Agentic Bridge marks a transition in how automation software is created. It moves from AI that supports individual tasks to AI that actively drives execution across the entire process.
AI no longer just writes code. It brings it to life.