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Platform vs. isolated custom applications

Custom Today. Legacy Tomorrow?

AI has made software easier to build. It has not eliminated the cost of owning, maintaining, securing, documenting and evolving software over time.

Discuss Your Architecture
The lifecycle question

The real question isn't only who owns the source code.

Who owns the knowledge required to understand, support and evolve the application?

People change

The original developer, consultant or internal champion may not always be available.

Technology changes

Operating systems, frameworks, databases, authentication, APIs and ERP environments continue moving.

Requirements change

Manufacturing processes, customer needs, machines, routing logic and operational priorities do not stay static.

Evidence

Technical debt and project complexity are real business costs.

20–40%

Technology-estate value

McKinsey reports CIO estimates that technical debt can equal roughly 20–40% of the value of the technology estate before depreciation.

McKinsey source →

10–20%

Additional project burden

McKinsey also reports companies may pay an additional 10–20% on top of project costs to address technical debt.

McKinsey source →

13%

Projects failing outright

PMI's 2025 global study found 13% of projects failed outright and 37% only partially delivered expected results under its modern definition of project success.

PMI source →

These figures are broad enterprise/project evidence, not claims that the same rates apply specifically to manufacturing custom applications.

Where custom development belongs

Build what makes you different.

Unique manufacturing IP, workflows and competitive capabilities may justify custom development.

But every manufacturer should question whether it also needs to independently rebuild connectivity, operational data, job context, application services, integration plumbing and manufacturing history.

The PI approach

Put differentiation on a supported foundation.

Production Intelligence provides reusable manufacturing infrastructure so custom extensions can focus on requirements that are truly unique.

Build the differentiator. Reuse the platform.

Large software programs illustrate the risk

Complex projects do not automatically deliver their expected value.

McKinsey and Oxford's analysis of large software projects reported average overruns of 66% on budget and 33% on schedule for the software subset. These were large projects, not PI-sized deployments, but the finding reinforces the value of smaller, incremental adoption.

Review the Research
Start small. Prove value. Expand when justified.

Solve today's problem without creating tomorrow's software island.

Use custom work where your company is truly unique and keep the underlying manufacturing architecture supportable and extensible.

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