Practical AI education built for industrial teams — five workshops covering every role, from operators using AI for the first time to leaders guiding their people through the change.
Using AI doesn't have to be confusing, but it does need to be intentional. Learning is the first step to implementation.
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Autex has been built around the idea that AI is meant to help everyone. We strive towards that goal in every workshop we prepare.
A workshop designed for supervisors, managers, and HR — the people responsible for bringing their teams through a transition, not just the technical users of the new tools. We teach managers how to lead people through AI adoption: a fundamentally different skill set that almost no one in this space is addressing.
Why people fear automation — and what they're actually afraid of, which is rarely what leaders assume. How to recognize early warning signs of disengagement and quiet resistance. The language that helps versus the language that triggers fear.
Outcome: Identify anxiety before it becomes active resistance, and know what not to say in the first team conversation.
How to talk to your team about what is changing and what isn't, without false promises. How to answer "will I lose my job?" with honesty. Building a culture where uncomfortable, iterative conversations are normal and safe.
Outcome: A communication framework supervisors can apply before, during, and after an implementation — not a one-time speech.
Where human expertise is genuinely irreplaceable — and how to name it clearly enough that workers can hear it and believe it. How to redesign roles so people own the decisions AI can't make. Building feedback loops where workers improve the AI, not just react to its outputs.
Outcome: Leaders and workers understand what the human adds — concretely, not as vague reassurance.
Psychological safety and the willingness to try and fail with new tools in a high-stakes environment. How supervisors model curiosity rather than fear. Measuring adoption by confidence and capability growth — not just compliance and usage metrics.
Outcome: Concrete behaviors supervisors can start practicing the next working day — not just frameworks to think about.
Put AI to work in your day-to-day operations. A hands-on introduction to using today's AI tools safely, effectively, and with purpose — on the plant floor and in the office. No technical background required.
What modern AI can and can't do, framed around real manufacturing and process scenarios.
Apply AI tools to routine tasks like documentation, troubleshooting, and data lookup.
Recognize limitations, protect sensitive data, and verify AI output before you act on it.
Go from idea to working solution. Learn to design and assemble AI-driven tools that solve real operational problems in industrial settings. Best for engineers and technical staff ready to build.
Identify where AI adds value and define a solution that's worth building.
Connect models, data, and existing systems into a working prototype.
Test, validate, and prepare a solution for real use in your environment.
Get more from the AI you already use. A focused course on measuring, refining, and improving the quality and reliability of AI outputs. Best for teams already using AI who want better, more consistent results.
Define metrics that tell you whether your AI is actually performing.
Improve results through better data, context, and instruction design.
Reduce errors and build confidence in AI-assisted decisions.
Grow AI from a single win to a company-wide capability. Learn to architect solutions that expand across teams, sites, and processes. Best for technical leaders planning AI adoption beyond a single project or site.
Design AI solutions that hold up as data, users, and use cases multiply.
Build repeatable patterns that fit into existing industrial systems.
Plan for monitoring, maintenance, and ongoing support across the organization.
Get answers to common questions about AI integration, consulting, and software solutions for industrial manufacturing.
AI streamlines production, reduces downtime, and enhances quality control by automating routine tasks and providing real-time insights for process optimization.
Metals, mining, chemicals, and food manufacturing see the greatest impact from AI, especially in process automation, predictive maintenance, and supply chain management.
Custom solutions ensure seamless integration with existing systems, address unique operational needs, and maximize the value of AI in your environment.
AI consulting guides your team through project planning, technology selection, and implementation, ensuring solutions align with business goals and industry standards.
Targeted training empowers engineers and operators to leverage AI tools effectively, improving productivity and supporting continuous improvement initiatives.
Yes. We recommend the best-fit approach for your needs, whether it involves AI or traditional methods, always prioritizing operational efficiency and clarity.
