AI Can Give You an Answer. But Can It Engineer an Automation System?
Topics:
August 2026
Artificial intelligence is changing the way businesses find information, solve problems and make decisions. Within manufacturing, AI can help engineers research components, analyse information, generate documentation and explore potential solutions faster than ever before.
At SP Automation & Robotics, we see AI as another useful tool available to modern engineers. But there is an important distinction between finding an answer and engineering a solution.
Ask an AI tool which industrial robot you need for an application, and it will probably give you an answer. It may even sound convincing.
The problem is that a convincing answer isn’t necessarily the correct one.
Designing a safe, reliable and productive industrial automation system requires far more than selecting a robot based on a few specifications. It requires experienced automation engineers who understand the process, the machinery, the environment and the countless variables that exist on a real factory floor.
AI can be an extremely useful engineering tool. But it works best when it supports engineering expertise rather than attempts to replace it.
Why Automation Engineering Isn’t Just About Finding the Right Equipment
One of the biggest misconceptions surrounding industrial automation is that choosing the correct equipment is the main engineering challenge.
Consider a relatively straightforward question:
“What robot do I need to automate this process?”
An AI-generated answer might start by considering payload, reach and cycle time. Those are important factors, but they are only part of the picture.
Putting this into real context, industrial automation, isn’t just about robots. SP’s systems combine complex control systems, servos, and vision systems, and with 80% of tooling on machines being bespoke, the bespoke concept is key to the success of the project. When our automation engineers assess an application, there are considerably more questions to answer.
What exactly is being handled? How is it presented to the robot? Does its weight or centre of gravity change? How quickly must it move? What happens if the product isn’t positioned perfectly? How much space is available? What machinery must the robot communicate with? What guarding or safety systems are required? What happens upstream and downstream of the automated process?
The initial discussions between a knowledgeable sales and applications engineer are only stage #1. The concept continues to develop through open communication between the customer and SP Automation & Robotics, with several of our engineers involved. This allows the concept to develop and be redefined based on extensive information gathering during the proposal stage.
Then there are the environmental conditions. Heat, dust, moisture, washdown requirements and hazardous environments can all influence equipment selection and automation system design. The robot itself may be perfectly capable of carrying the required payload, yet still be completely unsuitable for the application.
This is why, at SP Automation & Robotics, successful automation starts with understanding the process, not simply choosing a robot.
AI Doesn’t See Your Factory Floor
AI is exceptionally good at processing the information it has been given.
What it cannot automatically understand is everything happening within your actual production environment.
A manufacturer might describe a process as:
“An operator picks a component from a conveyor and loads it into a machine.”
On paper, that sounds relatively simple to automate.
However, when an automation engineer observes the process, the reality may be considerably more complex.
Components might arrive in inconsistent orientations. Operators may occasionally reposition them manually. The existing machine could have limited communication capability. There may be restricted space around the loading area. Several product variants might run through the same process. Cycle times may fluctuate. An upstream process may occasionally create a backlog.
These details matter. They can determine whether a project requires machine vision, additional sensors, changes to product presentation, conveyor modifications, PLC integration or a completely different automation concept.
This is one of the reasons automation feasibility studies and detailed engineering discussions form such an important part of SP’s approach during the early stages of an automation project.
The best automation solution isn’t necessarily the one that works theoretically. It is the one that works reliably in the real production environment.
What Can an Automation Engineer See That AI Can’t Yet?
There is another important part of automation engineering that is difficult to capture in a prompt, spreadsheet or technical specification: observation.
An experienced automation engineer doesn’t only look at what a machine is going to be designed to do. They also look at what is actually happening around it.
During a site visit, an SP Automation & Robotics engineer may notice an operator steadying a component before loading it, even though that action isn’t documented anywhere.
They might see that products occasionally arrive slightly misaligned, that an operator instinctively clears a minor blockage before it becomes a stoppage, or that one product variant behaves differently from the others.
They may hear an unusual change in the sound of a mechanism, notice vibration during part of a cycle, identify restricted access that could make maintenance difficult or recognise that the available space shown on a drawing doesn’t reflect how people actually move around the equipment.
None of these observations necessarily appear in the original project specification.
Yet they can completely change how an industrial automation system should be designed.
AI can only analyse the information you give it.
A good automation engineer can spot the information you didn’t know you needed to give.
Engineers Understand the Exceptions
Manufacturing processes rarely operate under perfect conditions 100% of the time.
Components vary. Materials behave differently. Parts become worn. Products arrive in the wrong orientation. Operators make small adjustments. Production requirements change.
AI can analyse the information it has been given. An automated system can respond to conditions it has been designed, programmed or trained to recognise.
The engineering challenge is often identifying the conditions nobody thought to specify in the first place.
Experienced automation engineers naturally ask:
- What happens when this doesn’t go to plan?
- What happens if two components arrive together?
- What if a part is missing?
- What if the product is slightly outside its expected position?
- What happens if a sensor fails?
- How does an operator safely intervene?
- What happens after a power failure or emergency stop?
- How quickly can production recover from a fault?
These aren’t insignificant details. They can determine whether an automated system performs reliably in production or regularly requires human intervention.
For SP’s engineers, designing the normal production cycle is only part of the challenge. Understanding abnormal conditions and how the system should respond to them is equally important.
Engineers Can Question the Problem, Not Just Solve It
There is also a significant difference between answering a question and recognising that the wrong question is being asked.
A manufacturer might approach SP Automation & Robotics wanting to automate a particular manual task. Our engineers may determine that automating that individual task isn’t actually the best solution.
Changing how a component is presented, altering an upstream process, combining two operations or redesigning a small part of the production sequence could potentially produce a simpler, more reliable and more cost-effective result.
That’s where engineering judgement becomes particularly valuable. The objective isn’t to automate something simply because it can be automated.
It’s to understand why the process works as it does, where the real constraint lies and what solution will deliver the greatest benefit to the manufacturer.
The Problem With Confidently Wrong AI Answers
Another challenge with using generative AI for technical information is that incorrect information can still be presented confidently.
Specifications may be outdated. Product capabilities may be misunderstood. Important engineering considerations may be omitted. Information relating to different products or manufacturers could potentially be combined incorrectly.
For general research, an error might simply be inconvenient. In industrial automation engineering, incorrect assumptions can have much greater consequences:
- An unsuitable component can affect cycle time.
- An incorrect payload calculation can affect robot selection.
- An overlooked communication requirement can create integration problems.
- An incorrect assumption about existing machinery can result in additional engineering work.
- Mistakes involving machinery safety can have far more serious consequences.
This doesn’t mean manufacturers or engineers shouldn’t use AI. It means technical information should be treated as information for evaluation rather than as engineering decisions to accept without verification.
For SP’s engineers, verification is fundamental to the engineering process, regardless of where the initial information comes from.
Industrial Automation Is About the Whole System
A robot is rarely an automation system on its own.
At SP Automation & Robotics, the bespoke automation systems we design and build can integrate robots, PLCs, sensors, machine vision, conveyors, safety systems, guarding, end-of-arm tooling, electrical controls, and interfaces with existing machinery.
Changing one part of the system can influence another.
For example, increasing the required production rate might mean the robot needs to move faster. That could affect robot sizing, tooling design, product handling, safety calculations and the way components are presented.
This is where experienced industrial automation engineers add considerable value.
They don’t simply ask whether an individual component can perform a task.
They consider whether the complete automation system can perform that task safely, repeatedly and at the required production rate.
Engineering Experience Helps Identify the Questions You Haven’t Asked
You don’t need to approach SP Automation & Robotics with a complete technical specification.
In fact, many of the businesses we speak to initially come to us with a production problem rather than an automation solution.
They might want to increase throughput, reduce repetitive manual handling, improve consistency, address a labour-intensive process, increase production capacity or simply understand whether a particular process can be automated.
Part of our role as an industrial automation company is identifying the questions that need to be answered before the right solution can be developed.
That may involve reviewing cycle times, observing operators, assessing product variations, examining existing machinery, discussing future production requirements and identifying potential integration challenges.
Sometimes the most valuable engineering insight is discovering something that wasn’t included in the original project brief.
This is also why involving an automation specialist early in a project can be valuable. Decisions made before the automation concept has been fully explored can sometimes create unnecessary complexity later.
Where Can AI Help Automation Engineers?
None of this means AI doesn’t have a place in modern engineering; quite the opposite. Used appropriately, AI can be an incredibly valuable productivity tool.
It can help engineers search large amounts of information, summarise documentation, explore ideas, assist with calculations, structure technical documents and accelerate certain research tasks.
As AI technology continues to develop, its role within manufacturing and industrial automation is likely to grow.
At SP, we’re interested in how new technology can support the engineering process and help our teams work more effectively.
But using AI as an engineering tool is very different from assuming AI can replace the engineering knowledge required to design and build complex automation systems.
An experienced engineer can question an AI-generated answer and can recognise when something doesn’t look right. They can verify information against manufacturer documentation, engineering calculations, relevant standards and real-world experience.
Perhaps most importantly, they can understand the consequences of a decision within the wider automation system.
Automation Technology Is Intelligent, But It Still Has to Be Engineered
Modern automation systems are already capable of doing things that would have seemed remarkable not very long ago.
Machine vision can identify products and inspect components. Sensors can continuously monitor processes. Robots can adapt their movements based on information received from other equipment. Production data can be analysed to identify trends and improve performance.
But these technologies don’t simply arrive at a factory and understand the production process.
Someone has to determine what information matters.
Someone has to decide what the system should do with that information.
Someone has to understand what happens when the information is incomplete, unexpected or wrong.
And someone has to engineer the mechanical, electrical, control and safety elements into one reliable production system.
That’s the role of skilled automation engineering.
AI Should Support Engineering Expertise, Not Replace It
Industrial automation has always evolved alongside technology.
Robots have become faster and more capable. Machine vision has improved dramatically. Sensors provide more information. Digital simulation allows engineers to test concepts before equipment reaches the factory floor.
AI is another powerful tool within that evolution.
At SP Automation & Robotics, embracing new technology doesn’t mean removing engineering expertise from the equation. It means giving skilled engineers better tools with which to solve complex manufacturing challenges.
Good automation system design still depends on understanding the application. The objective isn’t simply to produce an answer. It is to design an automation solution that works reliably, integrates with the surrounding process, meets production requirements and can operate safely in the real world. That requires engineering judgement.
AI can help engineers reach answers faster. Knowing whether those answers are right still requires expertise.
Looking at an Automation Project?
If you’re considering automating a manufacturing process, you don’t need to know exactly which robot, PLC, vision system or equipment you require before speaking to us.
Start with the process and the problem you want to solve.
At SP Automation & Robotics, our engineers design and build bespoke industrial automation and robotic systems around the requirements of each application.
From initial feasibility and concept development through detailed design, manufacture, programming, installation and commissioning, engineering expertise sits at the centre of every project.
Whether you’re exploring automation for the first time or looking to improve an existing production process, our team can help determine what is technically achievable and, importantly, what makes sense for your operation.
Talk to SP Automation & Robotics about your next automation project.
Follow us on LinkedIn, Twitter & Facebook to stay updated.
Read more about our automation here…
- Benefits of Automation
- The Benefits of Machine Vision Technology
- How Much Does it Cost to Design a Special Purpose Machine
- Designing Automation Systems for Pharma
- Robots & Cobots – What is the Difference?
- Robotic Automation
- What is a URS? Why is it Important?
- Cost of Industrial Automation
Contact Us
Frequently Asked Questions
How long does it take to design a special purpose machine?
What is included in the design phase of a bespoke automation machine?
Why does designing a special purpose machine take time?
Can the design phase be shortened?
What factors influence design time?
More information
Here you can find the most important news, blogs and videos from SP Automation & Robotics.. We will highlight developments, insightful industry trends, company announcements, technology expos, conferences, and events.