Legacy OT First
Plant floor systems are often older than the people running them and were never designed for modern data extraction. Execution has to work with what is actually there, not what a clean-slate architecture would prefer.
Manufacturing operations today carry a technology agenda that goes well beyond the factory floor. Supply chain visibility, sustainability reporting, cybersecurity for operational technology, and AI systems that depend on clean data from equipment that was never designed to produce it. All of it running on infrastructure built over decades, often across multiple sites and countries.
Plant floor systems are often older than the people running them and were never designed for modern data extraction. Execution has to work with what is actually there, not what a clean-slate architecture would prefer.
A manufacturing line generates revenue every hour it runs. Deployments have to be designed around production schedules, with a clear path back if anything needs to be reversed, not the other way round.
Predictive maintenance and AI quality systems are only as good as the data feeding them. Getting clean, reliable data out of decades-old equipment is often the real work, before any AI model becomes relevant at all.
This pattern is drawn from how manufacturing technology programmes unfold across the industry, not from a named Prompt Next engagement.
A manufacturer began a programme to connect plant-floor equipment to a new data platform, intended to enable predictive maintenance across multiple sites. Partway through, it became clear that a meaningful share of the equipment, some of it decades old, did not expose data in any standard way the new platform could consume.
This is a common discovery in manufacturing modernisation, not a sign the programme was scoped badly. The execution challenge is building the translation layer between equipment that predates modern connectivity and a platform that assumes it, without disrupting production to do so.
We coordinate every party involved in your manufacturing programme, from the first planning conversation to final handover. Working with your existing operational technology, keeping the line running, and making sure the data your AI and analytics systems depend on is actually there when they need it.
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