02 · TECHNICAL CONSULTANCY · INDUSTRIAL AI
AI integration for
industrial operations.
Practical AI, connected to the equipment, documents and systems your operation already runs on.
Codewrights helps manufacturers and industrial operations choose a useful AI application, build it around their own equipment data, documents and records, and put it in front of the people doing the work. A person stays in the loop, and the evidence stays attached.
Based in the Chicago area, working with manufacturers and industrial operations across the United States.
WHERE IT FITS
From what the plant knows
to the next useful action.
AI sits between the information you already have and the places your team already works. It suggests, sorts and retrieves. People decide.
WHERE AI EARNS ITS PLACE
Useful on the plant floor.
Useful in the office behind it.
Diagnostics, request routing and team knowledge come from earlier software projects in industrial settings. The others follow from 20 years across automation, controls and plant data. None of them is a packaged product: each is shaped to your operation.
- 01
Diagnostics and troubleshooting
Reported symptoms, photos, machine context and technical documents come together into likely causes and next checks. Technicians and support staff start from evidence instead of a blank page.
- 02
Request intake and routing
Incoming emails and texts about orders, parts and service are recognized, the details are extracted, and a draft lands in the right workflow for staff review. The original message and customer context stay attached.
- 03
Plant and team knowledge
Hard-won know-how from team conversations, manuals and past tickets becomes answerable inside the chat tools people already use, with a link back to where each answer came from.
- 04
Manuals and documents people can ask
Equipment manuals, procedures and drawings become searchable by question, for the model and revision in front of you, with the page cited.
- 05
Equipment data in context
Available machine and control-system data is brought into reporting alongside service history, so alarms, downtime and repeat faults can be reviewed together. Built within the interfaces your controls partners support.
- 06
Choosing where AI is worth it
A grounded assessment of where AI would help, what data it needs, what it would cost to run and what should stay as it is. Advice can be the whole engagement.
WHY AN INDUSTRIAL BACKGROUND MATTERS
Models are the easy part. The operation is the work.
Our practice draws on 20 years of experience across industrial automation, intraplant logistics and software integrations.
Most AI projects stall between a promising demo and the way a plant actually runs. Codewrights starts from the operation: the equipment, the people, the paperwork and the systems in between.
About Codewrights and its founder ↗Knows the equipment side
Experience across industrial automation, controls and intraplant logistics means the conversation starts with how the machines and the people around them actually work.
Works with your controls partners
Codewrights works alongside your operations team, OEMs and automation integrators, within the interfaces and boundaries they agree to.
Built into the systems you keep
AI features land inside your ERP, CRM, service desk or team chat, through available interfaces and approved access, rather than in another standalone tool.
Measured against real cases
Each pilot is judged on real examples from your operation against a written definition of done, before it goes any wider.
The same engineer, start to finish
You work directly with the person who designs, builds and runs it. The understanding of your operation does not get lost in a handoff.
GROUND RULES
AI that a plant can trust.
These hold for every industrial AI engagement. Each plan adds its own.
- AI suggests. People decide. Nothing it produces changes a machine setting, a controller or a safety system.
- Every answer shows where it came from: the manual page, the ticket or the conversation.
- When the AI is unsure, it says so and hands the case to a person.
- Requests are drafted for review before anything reaches your ERP or a customer.
- Data stays within the access you approve. Model and hosting choices follow your data and IT policies.
- A pilot has a written definition of done, tested on real cases from your operation.
- Controls and plant networks are reached only through interfaces agreed with your operations team and controls partners.
- Running costs are estimated before the build and watched after launch.
HOW AN ENGAGEMENT RUNS
One useful problem, then the next.
An engagement can stop at advice: a clear recommendation on where AI would help and what it would take. Or it can carry through to a working tool that Codewrights keeps running.
Ways to work together ↗Walk the operation
Where time goes today: troubleshooting, chasing requests, looking things up, re-keying orders. Who does it, and what they reach for.
Pick one problem worth solving
The use with the clearest owner, the data to support it and a result people would notice. Not an AI strategy deck.
Check the data you already have
Manuals, service history, tickets, messages and equipment data: what exists, what is accessible and what it would take to use it responsibly.
Pilot against real cases
A working tool, tested on real examples from your operation against a written definition of done.
Connect it where people work
Into the ERP, service desk, team chat or dashboard your team already uses, with permissions and a person in the loop.
Keep it running
Monitoring, quality checks on real use, model and cost updates, and the next problem when the first one is working.
PLAIN ANSWERS
Industrial AI questions.
What does Codewrights do for manufacturers and industrial operations?
Codewrights is an AI integration and software consultancy for industrial operations. It helps manufacturers choose a useful AI application, such as troubleshooting support, request routing or searchable plant knowledge, then builds it into the systems the team already uses. Engagements range from advice alone to a delivered tool that Codewrights keeps running.
Do we need a data science team or a data platform first?
No. Most useful industrial AI starts with information you already have: manuals, service history, tickets, messages and whatever equipment data is accessible. Codewrights checks what exists and what it would take to use it before recommending anything new.
Will AI control our equipment?
No. In a Codewrights engagement, AI suggests, sorts and retrieves; people decide. Nothing it produces changes a machine setting, a controller or a safety system, and plant networks are reached only through interfaces agreed with your operations team and controls partners.
Can it work with our ERP, service desk or Microsoft Teams?
Usually, through the interfaces and access those systems provide. Codewrights establishes what each system supports, which system owns each record and what happens when a connection fails, before committing to a design. It does not assume a prebuilt connector exists.
Where does an industrial AI engagement start?
With a conversation about where your team loses the most time. The first step is usually a short review of the operation and the data behind it, ending in a clear recommendation on whether AI would help and what to try first.
START WITH THE OPERATION
Where does your team lose the most time?
Troubleshooting, chasing requests, hunting for the right document. Tell us where it hurts and what you already have. We’ll tell you whether AI would help, and what we would try first.
Talk through an AI ideainfo@codewrights.io