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Manufacturers struggle with outdated systems and short staff, but external IT can break through

Sept. 8, 2025
Walk through a plant and you may see steady operations. But behind the scenes, the technology holding it all together is fragile. In many midsize firms, IT was never designed for the role it plays today.

What you’ll learn:

  • The gap between manufacturing goals and the capacity to achieve them is only getting wider.
  • Boards want fast progress on AI.
  • Customers expect shorter lead times and perfect quality.
  • Regulators demand tougher standards for security and compliance.

Manufacturers in 2025 are under mounting pressure. Digital systems run nearly every part of the business, from ERP and production scheduling to quality control and customer orders. Yet many mid-market companies are still depending on outdated “legacy” technology and small IT teams to keep everything running.

See also: How talent with technology can ensure manufacturing’s future

The gap between manufacturing goals and the capacity to achieve them is only getting wider—boards want fast progress on AI, customers expect shorter lead times and perfect quality, while regulators demand tougher standards for security and compliance.

Add to that unprecedented security concerns: Manufacturing is the most targeted industry for ransomware, and a single incident can bring operations to a halt as the average breach now costs $4.47 million.

For IT staff, often just one or two people supporting an entire enterprise, the workload has become relentless. Leaders know they must modernize, but the challenge is figuring out how to do it without stretching their already limited resources past the breaking point.

Cracks beneath the surface of stability

Walk through a plant and you may see steady operations—lines are running, orders are shipping and customers are satisfied. On the surface, things look fine.

But behind the scenes, the technology holding it all together is fragile. In many midsize firms, IT was never designed for the role it plays today. A team that once managed desktops and networks is suddenly responsible for ERP systems, cybersecurity, cloud platforms and compliance.

They are expected to push innovation even though most of their time is spent putting out fires. But that stress is only part of the story. The real danger is what happens when that fragile environment cracks or even collapses.

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One of the clearest signs of these cracks is the reliance on spreadsheets. In almost every plant, Excel has become the Band-Aid for tasks as critical as scheduling, reporting, and inventory control. It feels fast, familiar, and easy to use when systems fall short.

But what starts as a practical fix quickly becomes a barrier when data gets siloed and updates rely on manual effort. Different teams work from different versions of the truth, and reconciling those differences eats up hours of valuable time. Mistakes creep in and spread until they show up in production schedules or financials.

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The Excel bandage creates a ceiling. Without clean and connected data, automation tools cannot run properly. Predictive maintenance models cannot trust the inputs. Dashboards give an incomplete or misleading picture. Leaders talk about digital transformation, but the foundation for that transformation never solidifies.

Why AI ambitions keep falling short

That ceiling is felt most with AI. In boardrooms, enthusiasm for AI is running high. A Columbus Global survey found that 82% of manufacturing IT leaders are prioritizing AI initiatives in 2025. Leaders see it as the key to efficiency and resilience.

On the ground, though, the story is different. AI pilots often start with optimism but fail to scale. The reasons are familiar: unreliable data, systems that do not talk to each other, and security concerns that never get resolved. When internal IT teams are already stretched thin, adding complex new projects only deepens the strain.

See also: If AI isn’t the problem, what is? Maybe trust from frontline teams

The disconnect shows up at the top as well. Deloitte research found that only 16% of board members are confident in their company’s pace of AI adoption. That lack of confidence reflects how unprepared many organizations are to execute on their ambitions.

There is another risk too: the AI vanity trap. Companies sometimes chase flashy tools to prove they are “doing AI” without solving the underlying problems. These projects rarely create value. Worse, they fuel skepticism among employees who already doubt that change will benefit them.

External IT as the breakthrough

Disrupting this cycle often takes expert assistance. That’s why external IT expertise is becoming indispensable for manufacturers.

The best partners bring both capacity and experience. They know how to modernize infrastructure without disrupting production. They can unify fragmented systems and establish a single source of truth for data. And they create AI strategies that are realistic, beginning small and building toward measurable ROI.

They also bring structure to the human side of transformation. For employees on the shop floor or in the office, new technology can be confusing or even threatening. External experts provide training, build trust and help adoption stick. Just as importantly, they deliver governance that keeps strategy, people and technology moving in sync.

See also: AI sparks demand for specialized, high-performance plant infrastructure

Partnerships like these deliver quick wins such as cleaner data, smoother integrations, and stronger security. At the same time, they set the foundation for long-term transformation. This mix of immediate progress and sustainable change is what helps manufacturers shift from firefighting to forward planning.

Recognizing the moment to act

Leaders often ask how to know when outside support is no longer optional. The signs are usually easy to see:

  • ERP upgrades keep getting delayed.
  • IT backlogs grow while production waits.
  • Systems refuse to integrate, leaving managers with blind spots.
  • Boards call for AI adoption but no roadmap exists.
  • Security reviews keep surfacing the same gaps in access management or incident response.

These are not signs of failure, but signs that the business has outgrown its current capacity. Recognizing them is a signal that the company is ready to take the next step.

Building strength for the future

For manufacturers who have turned to external IT, the benefits are clear:

  • Integrations that once seemed impossible are up and running smoothly.
  • Cybersecurity programs fortify defenses against a tide of new threats.
  • Employees receive training that builds confidence
  • Leaders have the insight they need to make sharp, fast decisions.

The ripple effects extend across the business. Uptime improves, efficiency grows and investments in digital tools finally deliver the returns leaders expect. IT stops being a bottleneck and becomes a partner in strategy.

For organizations facing the wall of outdated systems and overextended staff, external IT is the lever that allows them to break through.

About the Author

Michael Simms

Michael Simms is VP of data and AI at Columbus and is a seasoned technical manager who has been developing data and artificial intelligence solutions for nearly three decades. He has been at the leading edge of AI, data, ERP and other emerging technologies. He plays a principal role in architecting and implementing projects from creation through go-live.