Manufacturing problems do not always arrive with convenient labels.
A shop may know that operators are still carrying CNC programs on USB drives, the wrong revision occasionally reaches a machine, or production data is difficult to turn into useful information. What may be less obvious is which technology, process change, or combination of systems could address the problem.
That is why Managed Solutions created MFGGlue.ai.
MFGGlue.ai is an experimental, AI-organized guide to Managed Solutions’ manufacturing knowledge. It helps manufacturers begin with the problem they are experiencing and then connects that problem to practical approaches, relevant technology categories, and the original Managed Solutions resources behind the answer.
Why We Created MFGGlue.ai
Manufacturing technology is often explained by product category: DNC, MDC, MDM, NC program management, edge devices, machine monitoring, and other specialized terms.
However, that is not necessarily how problems appear on the shop floor.
The problem may sound more like:
- “Our operators still use USB drives to move CNC programs.”
- “We do not know what our machines are doing.”
- “We are not always confident that the correct program revision is running.”
- “Our older machines cannot connect to modern systems.”
- “We have programs, drawings, and setup information stored in too many places.”
- “We need better verification before NC code reaches the machine.”
MFGGlue.ai translates those recognizable symptoms into a clearer path forward. Instead of requiring visitors to know which product they need, it helps them understand the problem first.
How to Use MFGGlue.ai
1. Start With the Problem Explorer
Begin by selecting one of the common manufacturing challenges listed in the Problem Explorer.
If your concern is not listed, you can describe the issue in your own words or search the larger knowledge library.
MFGGlue.ai will interpret the problem and present a practical direction, including:
- Why the issue matters
- A possible approach
- Technologies that may fit
- A useful first checkpoint
- Links to related Managed Solutions material
For example, selecting “Stop moving CNC programs with USB drives” leads to a broader discussion about creating a controlled, reliable, and traceable path between the program source and the machine. The objective is not simply to remove USB drives. It is to improve how approved programs are requested, delivered, tracked, and reviewed.

Choose a common challenge or describe the problem in your own words to find a practical starting point.
2. Explore the Layers Behind the Problem
Manufacturing challenges rarely remain inside one system. A problem involving CNC program delivery, for example, may also involve machine connectivity, document control, operator workflows, security, and business systems.
MFGGlue.ai organizes these connections into six layers:
- Machines and equipment
- Connectivity and edge technology
- DNC and communication
- Machine data and context
- Programs and production knowledge
- Business systems and decisions
This layered view helps show how equipment, information, people, and processes work together. It also reinforces an important point: not every operation needs every layer, and the answer is rarely one isolated product.

MFGGlue.ai helps reveal the connections between equipment, information, workflows, and business decisions.
3. Learn What the Different Tools Actually Do
MFGGlue.ai also explains several CIMCO solutions in plain language and connects each one to the type of question it is designed to answer.
These include:
- DNC-Max: How can approved CNC programs move reliably between a centralized system and the machines?
- MDC-Max: What are the machines doing now, what happened over time, and where is production capacity being lost?
- Manufacturing Data Management: How can production files, revisions, approvals, and workflows be controlled?
- NC-Base: How can CNC programs be stored in a searchable and auditable database?
- CIMCO Edit: How can programmers edit, compare, backplot, simulate, and verify NC code before it becomes a machine-side problem?
Each explanation links back to the original technical information so visitors can explore the subject in greater detail.
Explore the Knowledge Library
MFGGlue.ai includes a searchable library containing more than 150 source-backed answers organized around practical manufacturing questions.
Rather than sorting information only by product or publication date, the library helps visitors search according to the problem they are trying to solve. It brings together relevant articles, product information, technical resources, and other Managed Solutions content in one place.
The guiding principle is simple:
Connect the answer. Show the source.
MFGGlue.ai may help organize and interpret the information, but the original material on ManagedSolutions.com remains the authoritative source.
Start Small and Prove the Connection
Not every manufacturing challenge requires a large digital transformation project.
A more practical starting point is often to identify one recognizable operational constraint, define what improvement would look like, and test a focused solution on a representative part of the operation.
MFGGlue.ai outlines a four-step starting path:
- Name the operational constraint.
- Define what better looks like.
- Test the approach on a representative slice.
- Validate the result with the people doing the work.
The objective is to create a working baseline, produce useful evidence, and make the next decision clearer before expanding the scope.
An Experiment That Will Continue to Grow
MFGGlue.ai is an evolving Managed Solutions experiment. As we create and publish new articles, technical resources, and product information on ManagedSolutions.com, that knowledge will also be incorporated into MFGGlue.ai, allowing the resource to continue growing and improving over time. Its purpose is not to replace a conversation with someone who understands your operation. It is designed to make that conversation easier and more productive by helping you identify the problem, understand the possible connections, and explore relevant information before choosing a solution.
Have a Manufacturing Problem?
Have a manufacturing challenge that doesn’t fit neatly into a product category?
Explore MFGGlue.ai or contact Managed Solutions to start a practical conversation about what is getting in the way.
+1 (925) 736-9114
managedsolutions.com
