Your Production Line Is Efficient. Your Paperwork Isn't.

Almost certainly. We regularly connect to legacy databases, flat-file exports, and older ERP platforms that no longer receive vendor support. If the system can produce a CSV, an API call, or even a printed report we can digitise, we can pull the data out and feed it into modern automations. There is no need to rip and replace something that still works on the shop floor. In many cases, a simple scheduled data export is enough to bridge the gap between a decades-old system and a brand-new automation layer. Our AI consultancy starts with a full audit of your existing technology so we know exactly what we are working with before proposing solutions.

Every rollout is designed to run in parallel with your existing processes. New automations shadow your current workflows first — reading data without writing — so we can validate accuracy before anything goes live. Cutovers happen during planned changeovers or maintenance windows, and we provide on-call support through the first full shift rotation to catch anything unexpected. For manufacturers running continuous operations, this phased approach is non-negotiable. We have implemented scheduling, quality, and dispatch automations for factories that never stop, and the key is always the same: parallel running, gradual switchover, and training that fits around your shift patterns rather than expecting everyone to attend a classroom session during working hours.

Yes, and this is one of the highest-value automations we deliver for manufacturers. We digitise your inspection checklists so operators complete them on a tablet or phone instead of a clipboard. Results feed into a central quality dashboard in real time, and the system auto-generates the documentation your auditor expects — including non-conformance reports, corrective-action registers, and trend analyses. Deadlines are tracked with escalation alerts so nothing goes overdue, and a full audit trail is maintained automatically. The result is that you are always inspection-ready, not spending three days scrambling before each audit. If your processes also fall under ISO 14001 or sector-specific standards, the same framework scales to cover those requirements. See our first automation project guide for practical advice on getting started.

It depends on the data you already collect. If your machines log run hours, temperatures, vibration readings, or error codes, we can build models that flag likely failures before they cause unplanned downtime. For simpler setups where that data does not exist, usage-based maintenance triggers — automated work orders generated after a set number of cycles or operating hours — deliver significant value without needing expensive new sensors. The honest answer is that full-scale predictive maintenance requires a threshold of historical data. We will tell you upfront whether your factory has enough to make it worthwhile, or whether starting with usage-based triggers is the smarter first step. Either way, you move from reactive "fix it when it breaks" to proactive scheduling, and that alone reduces downtime and emergency call-out costs considerably.

Absolutely. We connect your order management system to shipping platforms and customs portals so that commercial invoices, packing lists, certificates of origin, and customs declarations are generated automatically from the same data you already hold. This eliminates the re-keying errors that cause shipments to be held at the border and speeds up dispatch significantly. For manufacturers shipping to the EU post-Brexit, the documentation burden has increased substantially, and automating it removes one of the most time-consuming parts of the export process. We also build in validation rules so the system catches common errors — wrong tariff codes, missing country-of-origin declarations — before documents are submitted. Our SOP automation service can standardise your entire export workflow from order confirmation through to proof of delivery.