Manufacturing businesses across the Midlands are under real pressure to do something with AI - competitors are experimenting, boards are asking questions, and software vendors are circling.
We have been asked for advice about what manufacturing businesses should be asking before committing to a budget or signing a contract, so we have put together some questions worth putting to any technology partner you are considering.
an AI risk assessment
Any responsible AI engagement starts here. A proper risk assessment looks at the data your business handles, the processes you are thinking about automating, the third-party tools involved, and the regulatory and contractual obligations you operate under. If a partner jumps straight to recommending tools without first asking what could go wrong, they may not be the right fit for where you are today.
addressing intellectual property protection
Manufacturing businesses carry significant IP: tooling designs, process parameters, formulations, customer specifications, pricing models. AI systems, particularly large language models, can inadvertently expose that data through training, logging, or third-party integrations.
We would advise that you look for a partner who can explain exactly how your data is handled, where it goes, and what contractual protections are in place before anything touches your systems.
Can you help us create an AI policy and governance framework?
This is the question that separates genuine advisors from tool vendors. A governance framework tells your team what AI they are allowed to use, what data they can put into it, who approves new tools, and what happens when something goes wrong. Without one, individual team members make their own judgements, and those judgements are rarely consistent.
EPX IT builds governance frameworks that reflect how manufacturing businesses actually operate, from the factory floor to the finance team.
measuring ROI from AI
AI is not difficult to spend money on. It is much harder to prove the return. A good partner will help you define measurable outcomes before the work starts: time saved per process, error rates reduced, headcount redeployed, lead times shortened. If the conversation stays abstract, we would advise that you push for specifics. Real ROI in manufacturing tends to show up in units, hours and cost per order - not in productivity percentages.
cybersecurity controls
AI amplifies both capability and risk. A poorly configured AI integration can become an attack surface, a data leakage vector, or a compliance liability. Before any AI system goes into production, your endpoint protection, identity controls, network segmentation, and data classification policies need to be in place and tested.
EPX IT conducts a cybersecurity readiness assessment as part of any AI engagement to make sure the foundations are solid before you build on them
AI training for employees and managers
AI tools fail when the people using them do not understand their limitations. That is particularly true on a shop floor, where trust in a new system has to be earned and where mistakes have physical consequences.
Effective training is not a one-hour webinar. It is role-specific, practical, and honest about what AI cannot do. Managers also need a different kind of training: how to govern AI use in their teams, how to spot misuse, and how to create accountability.
An AI partner
When you speak to a technology partner about AI, listen to what they lead with. If the first conversation is about governance, risk, your business objectives and how your data is classified, you are talking to someone who is thinking about your situation.
If they immediately start talking about AI tools rather than governance, risk, business objectives, and data protection, they are probably not the right partner for where you are today.
a clear roadmap
For a manufacturing company in Staffordshire with 50 to 200 employees, an initial AI and cybersecurity assessment project would deliver far more value than jumping straight into additional AI software purchases. That assessment should give you:
- A clear roadmap
- A governance model
- A risk register
- A prioritised list of AI use cases with measurable business benefits.
You come out of it knowing what to do, in what order, and why, rather than owning a collection of tools that nobody is quite sure how to use safely.
The cost of getting this right up front is modest compared to the cost of unwinding a poorly governed AI deployment six months later.
EPX IT is a Managed IT Services Provider based in Stafford, working with manufacturing businesses across Staffordshire and the West Midlands. To discuss an AI governance assessment for your business: book a call with our team.
