AI Workshops for Manufacturing Businesses: Turn One Repeated Task Into a Workflow You Can Reuse

You write the same SOP draft, the same supplier chase-up and the same shift handover every week, and each one takes longer than it should. An AI workshop for a manufacturing business is hands-on training built around one repeated task from your own operation, an SOP draft, a supplier message or an operational handover, using your own source material to produce a draft you check before it is used. We build training around your business tasks, source material and the output you need. Our public Sunshine Coast workshop gives you four hours to work on one repeated business task. Bring one job that wastes your time and build the instructions for it.

Key takeaways

• Start with one repeated written job, an SOP draft, a supplier message or an operational handover. We teach business owners and teams how to use AI on the work their business repeats, and your task decides the training example.
• The Manufacturing Institute and PwC report that just 19% of manufacturers currently offer any AI-related training. 1
• Five inputs, Context, Task, Source, Rules and Output, turn one repeated job into instructions you can run again.
• Every draft is checked against the information your business supplied before it reaches a supplier, a customer or the floor.
• The public workshop is four hours in person, A$495 including GST per person, capped at 15 paid attendees, with the date to be announced and a waitlist open now.

Which repeated manufacturing tasks should an AI workshop be built around?

Build it around the written work your business repeats. We teach business owners and teams how to use AI on the work their business repeats, and your business task determines the training example.

Pick a specific piece of work: one SOP for one line, a reply to one supplier about one delayed part, or the handover note for one shift. Bring the information that job needs. If the task runs through several stages, take the drafting step first. You can write instructions for that step without connecting every system on your floor.

More than 50% of manufacturers already use AI in their operations, but gaps remain in how far the technology is taken. 2 Preparing the frontline workforce with the skills to work in an AI-enabled operation is a key barrier to faster adoption. 3 Manufacturing remains the slowest sector to adopt artificial intelligence, despite its lean origins and rising digital connectivity. 4 One repeated task is the size of problem a team can carry from a training room back to the floor.

What does AI mean in the manufacturing industry?

In manufacturing, AI covers a set of technologies applied across production, quality and supply. Artificial intelligence is becoming a larger part of modern manufacturing, from machine learning that improves predictive maintenance to tools that optimise production and quality in real time. 5 AI technology in the sector is deployed as part of the wider Industry 4.0 movement and already spans several types of solutions. 6

The list runs long. On-condition monitoring, predictive maintenance, AI-driven quality management and supply chain optimisation are used to reduce downtime and improve forecasting. 7 Digital twins build complex models that simulate the whole manufacturing process. 8 Sensors and the Industrial Internet of Things allow manufacturers to collect more production data than ever for real-time analysis. 9 Machine learning analytics gain power when the algorithms behind Industry 4.0 deployments are built with ML, a branch of AI concerned with self-improving processes. 10 11 Augmented reality and virtual reality support in-depth problem-solving by displaying data in immersive ways. 12 Applying AI in manufacturing means combining software, data, data collection systems and policies across predictive maintenance, quality and process optimisation, and supply chain optimisation. 13 The full picture takes in digital twins, the IoT and IIoT, ML, GenAI, AR and VR. 14

Our workshops sit in one part of that list. Generative AI is a major growth area and the fuel behind systems such as digital agent technology. 15 GenAI responds to natural-language prompts and helps employees complete actions such as searching large, complex databases and brainstorming ideas. 16 That is the layer you can put to work on an SOP draft this week, without a sensor deployment.

How do five inputs turn an SOP draft into a workflow you can reuse?

The five inputs give the assistant your business context, the task, your source material, your rules and the output format. We help you build and test a workflow you can use again.

The five inputs are Context, Task, Source, Rules and Output.

Write the five inputs before you paste in your source material. For an SOP draft, Context is your plant, product and the team who follows the procedure. Task is the drafting step you chose. Source is the existing procedure, the machine notes and the safety requirements your business has approved. Rules keep supplied figures unchanged and tell the assistant to flag anything the source does not cover. Output sets the structure the floor reads from. The five inputs describe the job, and they give you the basis for checking what comes back.

How do you check an AI-drafted supplier message or handover before it is used?

You check the output against the information your business supplied. We help your team agree on the source material, the instructions and the review process for a repeated task.

Compare names, dates, part numbers, quantities and claims with your source. Recalculate totals. Keep supplied prices unchanged and flag missing information rather than filling the gap. Check that the draft answers the request and stays inside your scope. The person responsible for the work approves the final version before it goes to a supplier, a customer or the floor.

In the session, participants test the workflow on a safe example and check the result against their source material. That test is where you find out which rule your instructions are missing.

What does the public Sunshine Coast AI workshop include?

Four hours in person, one repeated business task, and the written AI workflow you build. You work on your own laptop with hands-on help, and you keep the instructions and the example you tested during the session.

Bring the task that wastes your time and leave with an AI workflow that handles it. The date is to be announced and the exact venue is confirmed with it. Join the waitlist to hear first.

Can you get private AI training at your factory or workshop?

Yes. We bring private AI training to your workplace and scope it around your team's tasks, experience and location.

Private onsite AI training is available on the Sunshine Coast and in Brisbane, Gold Coast, Ipswich, Noosa, Moreton Bay, Logan, Redlands, Toowoomba and Gympie. On the Sunshine Coast, onsite training covers Maroochydore, Caloundra, Mooloolaba, Buderim, Birtinya, Nambour and Coolum. Sessions run at the team's workplace.

After your enquiry, we discuss your team's tasks, location and experience. We agree on the training scope and prepare a fixed quote. Team size, session length and travel determine the price. We scope private sessions for roughly 4 to 20 people, and larger teams can be split across sessions. Each person brings the laptop they will use afterwards, and we confirm tool and account requirements during scoping. If a private session does not suit, your people can travel to the Sunshine Coast for our public workshop, or read more about private AI training.

How is a hands-on workshop different from a free or online AI course?

A course explains AI. Our workshop builds one working instruction set on your task, with your source material, in the room.

Published courses cover the ground well. One introductory webinar on artificial intelligence for manufacturing runs as twelve videos and sets out the base learning on AI and its possible uses in manufacturing today. 17 18 It covers how artificial intelligence differs from traditional software, with machine learning using training data and iterations to improve predictions, and how deep learning through artificial neural networks drives manufacturing applications. 19 Its focus is how AI can improve a manufacturing company's competitiveness, as applications of AI expand through all industry sectors. 20 21 The Manufacturing Institute is developing AI skills training designed primarily for frontline manufacturing employees, to be offered at no cost and built on existing Google AI training placed in a manufacturing context. 22 23 That training gives production workers contextual applications for AI so they can adapt as companies deploy the technology, and builds practical AI skills across the current and future frontline workforce. 24 25 A separate course helps technical experts apply AI, and the MI delivers a pathway through the Federation for Advanced Manufacturing Education, its Advanced Manufacturing Technician apprenticeship-style program. 26 27

We work from the other end. We helped automate Radiant Roof Repairs' internal processes using AI. We used AI to automate SEO, enquiries and admin for Glen House Homoeopathy. In our own business, Searchmaxxed, we built AI workflows for creating blog posts, doing SEO and preparing custom proposals. You spend the four hours writing and testing your own instructions, and you take them home with the example you ran. See the industries we work across.

Frequently asked questions