Manufacturing / AI consulting
Real work.
A clearer path.
A useful result.
For manufacturers ready to understand where AI can help, make an existing solution reliable, or get a defined workflow into use.
Discuss your workflowScope, fee and timing agreed before work begins.
01 / Where we start
What is holding
the work back?
The right starting point depends on the obstacle. We look at the workflow before choosing the technology.
Choose and diagnose
Find the application
worth pursuing.
Identify a recurring task, its owner, the current cost and a measurable result. Review inputs, system access and constraints. Leave with an implementation scope or a clear reason to stop.
Build and improve
Move from a prototype
to everyday use.
Connect the workflow to the right systems and people. Test quality and failure handling, review model and operating costs, and establish a practical handover.
02 / Practical scope
One workflow.
Clear acceptance.
Quality investigations. Engineering knowledge. Supplier coordination. Production exceptions.
These are starting points, not promises of a predetermined solution. We agree the workflow, deliverables, access, responsibilities and acceptance criteria before delivery.
Work can begin with a paid diagnostic or a defined implementation. Pricing follows the scope. Microsoft 365, Teams, SharePoint, Power Platform and Azure are part of Mike’s implementation background; the starting point is the system your team actually uses.
Discuss a possible engagement03 / Heard from Mike?
We are asking
about your experience.
Mike is learning what prevents manufacturers from getting useful results from AI, while developing Plixo’s consulting work. Choosing the right application, reliable implementation, people and costs are possibilities to investigate.
No AI priority, a capable internal team or a solution that already works well are useful answers too. A reply helps us understand the work; it does not commit you to a project.