Production dashboards
Pull output, OEE, scrap and downtime into one clear view that updates itself.
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SOFTWARE & INTEGRATION
Not every problem
needs AI.
Sometimes the answer is better software: a tablet app instead of a clipboard, a link between the line and the ERP, or a dashboard people actually use. I build these on their own, or around a machine-learning system so its results reach the people who need them.
01 / IN PRACTICE
Four examples,
problem to result.
Each example is a demonstration, laid out the way a real project runs: the problem, the starting point, the approach, the result and the potential value.
01 / SHOP-FLOOR TOOLS
Could the clipboard become a tablet?
- PROBLEM
- Downtime, scrap and checks are written on paper or in spreadsheets, retyped later and rarely trusted.
- STARTING POINT
- How the team records things today, and the systems the figures need to reach.
- APPROACH
- A simple tablet and browser app built around the existing process, with the right people able to see and change the right things.
- RESULT
- One live view of works orders, downtime and checks.
POTENTIAL VALUEFigures people trust — and the data any future AI project will need.
Shop-floor toolsDEMONSTRATION · ILLUSTRATIVE DATA
QUEUED3RUNNING4DONE
| #1042 | Bracket BR-220 × 500Press 4 | |
| #1043 | Spacer SP-14 × 200Lathe 3 | |
| #1044 | Housing HS-9 × 800Moulder 2 | |
| #1045 | Cover CV-3 × 1,200Press 2 |
ONE LIVE VIEW OF THE SHOP FLOOR replaces 3 spreadsheets
02 / CONNECTING YOUR SYSTEMS
Could the line and the office share one set of figures?
- PROBLEM
- Machine counts, orders and maintenance records live in separate systems, so people copy data between them.
- STARTING POINT
- PLC or historian tags, and access to the ERP and maintenance system.
- APPROACH
- A small data hub that moves readings and events between systems automatically, with a log of everything it does.
- RESULT
- Counts, downtime and orders kept in step across systems.
POTENTIAL VALUEType it once, and it is everywhere it needs to be.
Connecting your systemsDEMONSTRATION · ILLUSTRATIVE DATA
Line PLCsData hubERPMaintenanceDashboard
- Line 2 count 4,812 → works order WO-5823
- Filler stop, 6 min → downtime logged
- Line 2 OEE on dashboard: 78.4%
NOTHING TYPED TWICE 3 systems in sync
03 / WORKFLOW AUTOMATION
Could the paperwork produce itself?
- PROBLEM
- Certificates of conformity, batch records and calibration reminders take hours a week and are easy to forget.
- STARTING POINT
- Inspection results, order details and your document templates.
- APPROACH
- Automated workflows triggered by events such as a passed final inspection.
- RESULT
- Certificates created and sent, records filed and reminders raised without anyone having to remember.
POTENTIAL VALUEHours back each week, with people still in charge of the decisions.
Workflow automationDEMONSTRATION · ILLUSTRATIVE DATA
- TRIGGERFinal inspection passed · batch 2291
- Certificate of conformity created
- Cert emailed with the delivery note
- Batch record filed against the order
- Gauge calibration dates checked
RUNS ON ITS OWN, EVERY TIME ~20 hours saved / month
04 / WEBSITES FOR ENGINEERING FIRMS
Does your website show buyers what you can do?
- PROBLEM
- A dated site that doesn’t explain your capabilities or make it easy to send an enquiry.
- STARTING POINT
- Your capabilities, equipment, accreditations and photos.
- APPROACH
- A fast, clear, accessible site with an enquiry form that accepts drawings.
- RESULT
- A site buyers can understand quickly on any device.
POTENTIAL VALUEBetter enquiries from the right customers.
Websites for engineering firmsDEMONSTRATION · ILLUSTRATIVE DATA
98Performance
100Accessibility
100Best practice
100SEO
FAST ON EVERY SCREEN SIZE 0.9 s load
02 / AND MORE
Other things
I can build.
Customer portals
Give customers order status, certificates and drawings in one place, without the phone calls.
Spares ordering
Let customers find and order spare parts for the equipment you supply.
Rugged tablet apps
Tools that work on shop-floor tablets and phones, installable without an app store.
Hosting & support
Reliable hosting on site or in the UK, with updates, backups and monitoring.
Room for AI later
Software built so machine-learning features can be added when there is a good reason to.
03 / BEFORE WE BUILD
What a good project
needs to succeed.
A clear first version
Start with the parts that matter most. A smaller first release gets used sooner and shapes what comes next.
Access to your systems
Connections to the machines and systems the software needs to read from or write to.
The people who will use it
Time with operators, engineers and planners, so the tool fits how they actually work.
A plan for looking after it
Agree hosting, updates and support up front, so running costs and responsibilities are clear.
04 / HOW WE'D START
Idea → evidence
→ investment.
You never commit to a large project on a hunch. Each step answers whether the next one is worth taking — and “no” is a useful answer too.
- 01
Free conversation
30 minutes about a process, machine or business problem. No technical sales pitch.
- 02
AI Opportunity Review
A short paid review of the problem, your data and systems, ending in a roadmap and a recommendation.
- 03
Proof of concept
One problem tested on your real data, with a clear Go, Modify or Stop at the end.
- 04
Build & improve
Only if it works: a practical system, deployed, monitored and refined.
05 / SOFTWARE & INTEGRATION
Something that
needs building?
Tell me what is slowing your team down. In a free 30-minute conversation we can talk through the options — including whether AI is needed at all.
Independent · North Yorkshire · working across the UK