ABOUT THIS EPISODE
Sitting down at FermionX with Managing Director Will Patrick, we explore how a third-generation MD took a family electronics manufacturer from tribal knowledge to a data-first operation that customers can see, trust, and scale with.
We start with the lineage—granddad’s silkscreen craft evolving to PCBs, then assembly—and why honoring that service and customer focussed ethic made the transformation stick. Then we lift the hood on the digital rebuild: a modern MES for full traceability, powerful dashboards for top-level clarity, and smarter quality tooling including Koh Young's KSMART and Luminovo. The goal wasn’t technology for its own sake; it was a single source of truth where every action leaves a data point and every decision gets faster, cleaner, and easier to audit.
From there, we talk growth. By redesigning processes and floor layout, Will has created headroom to push from around £10M to £25M without stacking overhead. We break down how visibility wins contracts in the EMS world, why customers value shared dashboards and live traceability, and how a long-term, 20–30 year plan changes which investments make sense today. We also get practical about AI: exception-driven MRP alerts, machine feedback loops, and agentic systems that surface the one issue that will derail tomorrow—after, and only after, the data foundation is solid.
If you care about scaling a contract manufacturer without losing your soul—or your margins—you’ll find concrete steps here: where to start with MES, how to drive cultural adoption, which metrics to watch, and how to stitch tools together so operators move faster, not slower. Subscribe for more conversations at the intersection of manufacturing, data, and leadership, and tell us what you'd automate first.
EMS@C-Level is hosted by global inspection leaders Koh Young (https://www.kohyoung.com) and Global Electronics Association (https://www.electronics.org)
You can see video versions of all of the EMS@C-Level pods on our YouTube playlist.
SHOW NOTES 🔗
TRANSCRIPT 🔗
00:00:08.480 --> 00:00:09.839
Hello, I'm Philip Stoughton.
00:00:09.839 --> 00:00:14.960
I'm at Fermionics in the UK, and I'm with Will Patrick, who's the managing director.
00:00:14.960 --> 00:00:15.439
Hiya.
00:00:15.439 --> 00:00:16.480
Great to see you, Will.
00:00:16.480 --> 00:00:25.839
Uh really fascinated by the business because I think this is a story that's happening in other places, but it's kind of unique the way it's happened here.
00:00:25.839 --> 00:00:27.760
You're actually the third generation.
00:00:27.760 --> 00:00:31.519
Your grandfather started the business decades ago.
00:00:31.519 --> 00:00:35.200
You taken over recently from your father.
00:00:35.200 --> 00:00:40.880
Talk me through a bit of the history and tell me what the new broom is sweeping through.
00:00:41.119 --> 00:00:48.799
Yeah, I mean it started from my my granddad, but my nan as well, um, 53 years ago now, which is crazy.
00:00:48.799 --> 00:00:53.359
They my granddad was a silkscreen artist, then moved into PCBs.
00:00:53.359 --> 00:00:59.920
Then my dad took it on maybe 20 years ago, moved from PCBs into assembly, and now here we are.
00:00:59.920 --> 00:01:02.880
So about two years into being managing director now.
00:01:02.880 --> 00:01:05.359
So into that sort of journey of the third generation.
00:01:05.359 --> 00:01:05.680
Yeah.
00:01:05.680 --> 00:01:06.959
And yeah, it's exciting.
00:01:06.959 --> 00:01:07.680
A lot's happened.
00:01:07.920 --> 00:01:09.840
Yeah, I mean it's fascinating, isn't it?
00:01:09.840 --> 00:01:30.159
Because as as you have those generations and clearly pivotal changes, revolutions each time, your revolution seems to be a bit of a digital revolution, and you've really changed the way the business operates, and you've really built something that is capable of scaling much more quickly and is a bit perhaps more agile for your customers.
00:01:30.159 --> 00:01:31.760
What was the strategy behind that?
00:01:31.760 --> 00:01:38.239
Did you know you were going to do that when you came in, or did you just see as soon as you came in, those were the changes that you needed to make?
00:01:38.560 --> 00:01:40.159
I saw the gaps, I think.
00:01:40.159 --> 00:01:41.519
I knew what we did really well.
00:01:41.519 --> 00:01:43.920
I knew we serviced our customers really well.
00:01:43.920 --> 00:01:48.000
But I also looked at our revenue for the about 10 years before that, and it was completely flat.
00:01:48.000 --> 00:01:50.239
And I tried to understand why that was.
00:01:50.239 --> 00:01:52.480
I have no interest in keeping it flat.
00:01:52.480 --> 00:01:55.040
I want to grow, so I need to know how we did that.
00:01:55.040 --> 00:02:01.280
Um, and quite quickly I walked in and thought, you know, I think I said earlier, I haven't got years of experience behind me.
00:02:01.280 --> 00:02:04.560
I don't know every single part number like a lot of the staff did off the bat.
00:02:04.560 --> 00:02:10.639
I needed a way to say, let's cut through all the mess as such, look at the top level.
00:02:10.639 --> 00:02:14.479
Can I get this whole thing run on figures and dashboards and top level?
00:02:14.479 --> 00:02:16.080
So loads of things changed that.
00:02:16.080 --> 00:02:25.199
I mean, we got a new MES system, which was huge, much well, fully traceable, whereas the other one wasn't, which means everyone needs to add their data.
00:02:25.199 --> 00:02:26.639
That's a massive cultural change.
00:02:26.639 --> 00:02:28.159
We're about two years into it now.
00:02:28.159 --> 00:02:32.159
I'd say we're probably about 85% of the way through there culturally.
00:02:32.159 --> 00:02:33.680
People now understand it.
00:02:33.680 --> 00:02:38.879
Then I got delved quite a lot into Power BI, so I now get all the top-level dashboards based on that.
00:02:38.879 --> 00:02:41.599
If it doesn't work, we fix it at the core.
00:02:41.599 --> 00:02:45.280
I can show customers a lot of their data from our system now.
00:02:45.280 --> 00:02:49.840
If they find errors, you create a much more collaboration where they're, and that's not right.
00:02:49.840 --> 00:02:51.360
And then we say, Oh no, it's not, you know.
00:02:51.360 --> 00:02:52.879
Well, we need to fix that our thing.
00:02:52.879 --> 00:02:55.439
So yeah, that pushed a lot of it.
00:02:55.439 --> 00:02:59.120
Outside of that, I think we just needed a lot better quality controls.
00:02:59.120 --> 00:03:05.680
So a lot of the investment we've done on machines and our infrastructure and factory helped that.
00:03:05.680 --> 00:03:15.840
Fixing it really at the root, and it's a long-term strategy, obviously, because uh I hopefully have quite a long career left in me, so it's worth doing that now rather than and that's probably the best way to say it.
00:03:15.840 --> 00:03:18.400
My dad had a sort of two, three-year plan.
00:03:18.400 --> 00:03:20.879
I'm looking at a 20, 30 year plan.
00:03:20.879 --> 00:03:21.919
They're just different, really.
00:03:21.919 --> 00:03:26.400
And the step change is a lot of investment initially to give us the infrastructure to grow.
00:03:26.639 --> 00:03:30.400
Yeah, and I think you know, the proof of the pudding is always in the Ethan and these things.
00:03:30.400 --> 00:03:36.240
And and you said 10 years of static revenue, you've seen last two years of quite substantial growth.
00:03:36.400 --> 00:03:37.520
Yeah, yeah, yeah, yeah.
00:03:37.520 --> 00:03:42.719
I think a lot of that is we can give visibility to customers, they like that.
00:03:42.719 --> 00:03:52.960
We've obviously invested, you know, hundreds of thousands in our facilities, we look a lot better, and we've cleared a lot of space by being or implementing operational improvements.
00:03:52.960 --> 00:03:58.879
So now they're looking at a factory four where they can see a third of it's empty, ready for them to pull more work.
00:03:58.879 --> 00:04:04.159
Before, like I said, we were reasonably profitable for the size, for the revenue we had.
00:04:04.159 --> 00:04:08.719
So we needed to sort of strip that all back, start again, uh, put a bit more overheads in.
00:04:08.719 --> 00:04:10.240
But yeah, we've got an infrastructure.
00:04:10.240 --> 00:04:17.360
And I think also when you have customers around with a contract manufacturer, you're not you're not selling a product they might buy once and never come back.
00:04:17.360 --> 00:04:18.879
You're having to sell a partnership.
00:04:18.879 --> 00:04:34.800
So I think, hopefully, hearing a story of you know how I'm invested in this for the next 30 years is quite enticing to a business that they know there's stability there as well, and they know it's gonna continue, and I'm gonna continue to put a lot of effort into their product.
00:04:35.040 --> 00:04:36.399
Yeah, I think that's really interesting.
00:04:36.399 --> 00:04:42.639
And what and what you're bringing is you're bringing that future-proofing, but you're also drawing on what's happened in the past.
00:04:42.639 --> 00:04:48.319
And you you said you know you've got a core ethic of customer service that was really strong.
00:04:48.319 --> 00:04:56.240
So actually maintaining that and layering that up with tools that allow you to do that even better is is hugely advantageous.
00:04:56.240 --> 00:04:58.560
What are your kind of ambitions for the business?
00:04:58.560 --> 00:05:00.079
Where do you where do you see it going?
00:05:00.079 --> 00:05:02.240
Do you see like a nice steady growth?
00:05:02.560 --> 00:05:03.439
Yeah, I think so.
00:05:03.439 --> 00:05:07.759
I think um probably created an infrastructure now.
00:05:07.759 --> 00:05:13.839
We're around 10 million, created an infrastructure that's probably gonna 25 without having to increase that many overheads.
00:05:13.839 --> 00:05:19.040
Each time I think we need more overheads in admin or people.
00:05:19.040 --> 00:05:21.360
I think we've got a good team around us now.
00:05:21.360 --> 00:05:26.480
I'm gonna lean quite heavily probably on AI and data, where we can do a lot of the admin jobs for us.
00:05:26.480 --> 00:05:27.199
And that's my goal.
00:05:27.199 --> 00:05:33.680
Sometimes you're gonna have to, but um, get to that 25 million mark in the same physical infrastructure we have now.
00:05:33.680 --> 00:05:38.959
We might be able to run shifts, or there's probably ways we can run surface amount, uh increase capacity.
00:05:38.959 --> 00:05:44.160
Um, and a lot of the admin work can be done in ways where you don't need a lot more people.
00:05:44.160 --> 00:05:44.560
Yeah.
00:05:44.560 --> 00:05:46.800
Um that's kind of my goal.
00:05:46.800 --> 00:05:49.519
I think we could quite easily achieve that.
00:05:49.759 --> 00:06:01.920
Yeah, and you've replaced kind of tribal knowledge, which you had before, you know, people just doing it that way because they'd always done it that way, and they knew almost a feeling of how the minds were tuned and everything with stuff that's really data-driven.
00:06:01.920 --> 00:06:02.800
So that's huge.
00:06:02.800 --> 00:06:11.199
You invested in MES, you've invested in the Koyang inspection system, which has given you the K Smart data, you've got the Luminovo system.
00:06:11.199 --> 00:06:19.120
Does that reflect a strategy of like pooling as much data in into one resource as possible so you can actually drill down in that area?
00:06:19.439 --> 00:06:19.680
Yeah.
00:06:19.680 --> 00:06:26.639
Well, uh every action someone takes in this factory, sh there has to be a data point for it.
00:06:26.639 --> 00:06:30.079
Um we're scanning on and off every single jobs where we weren't before.
00:06:30.079 --> 00:06:33.519
Everything now goes through our main manufacturing system.
00:06:33.519 --> 00:06:36.319
Luminovo, like I said, great bit of kit.
00:06:36.319 --> 00:06:42.319
I need to get that with a better link API so it almost becomes one system in itself.
00:06:42.319 --> 00:06:51.680
Um but yeah, and the main thing is you want to get a data point for every action that doesn't make it any slower for the employee or operator as well.
00:06:51.680 --> 00:06:57.439
So there's things like in stores, we probably want to set up scanners so the whole thing just works a lot cleaner.
00:06:57.439 --> 00:07:05.839
Um but we set the infrastructure now, we can see where there's gaps, and we can I've kind of stripped it all back, and now we need to build it all back up again based on that data.
00:07:06.079 --> 00:07:11.600
Yeah, and you're basing it on new new data-driven foundations or a data-driven um backbone.
00:07:11.600 --> 00:07:24.480
You talk about AI, and I think we're seeing AI being used in areas like maybe the Koyoung um feeding back to the printer and make helping make adjustments there and the stuff you're doing with Luminovo.
00:07:24.480 --> 00:07:37.040
But I think as a leader, what you want is to be able to have an overarching system, some kind of agentic system where you can actually interrogate all those to make business decisions.
00:07:37.040 --> 00:07:41.120
That's an interesting future, but we're away from it.
00:07:41.439 --> 00:07:42.000
Yeah, yeah.
00:07:42.000 --> 00:07:44.560
I think um let's see where it goes.
00:07:44.560 --> 00:07:52.480
I think being a young MD, if it doesn't work, maybe the first time round or second time round, it's not a problem.
00:07:52.480 --> 00:07:54.959
I think it's we need to learn how it works.
00:07:54.959 --> 00:08:02.240
But I think things like an MRP or exception reporting, I just imagine where it's just lots of data points and lots of pluses and minuses.
00:08:02.240 --> 00:08:07.360
If you can get something like AI to just scan through that and say this is the one I think might be the problem.
00:08:07.360 --> 00:08:08.399
Who knows, yeah?
00:08:08.399 --> 00:08:12.959
Like I said, I've focused on data first and then maybe AI at that point.
00:08:12.959 --> 00:08:14.560
But we're kind of stable where we are now.
00:08:14.560 --> 00:08:21.680
If we got a hell of a lot more sales in and we needed a hell of a lot more overhead, maybe I'd start to sort of implement it at that point.
00:08:21.680 --> 00:08:23.360
But pretty happy where we are now.
00:08:23.600 --> 00:08:34.960
Yeah, you start with data, you layer on insight on top of that, and then you look at where you can deliver value for you, but also deliver value for your customers, which is uh yeah, it's a huge part of it.
00:08:34.960 --> 00:08:36.559
Will, thanks so much for your time.
00:08:36.559 --> 00:08:38.000
Thanks for sharing around the factory.
00:08:38.000 --> 00:08:39.120
It looks very impressive now.
00:08:39.120 --> 00:08:39.759
You're welcome.
00:08:39.759 --> 00:08:41.200
Um, look forward to our next chat.
00:08:41.759 --> 00:08:42.000
Cheers.
00:08:42.000 --> 00:08:42.960
Thanks.