A mid-sized manufacturer came to Digital is Simple with a familiar problem, their ERP system held years of valuable operational data, but the business had no way to act on it intelligently. Reports were slow, decisions were reactive, and the ERP was too deeply embedded in operations to replace. Our team assessed the integration landscape, identified the right AI layer to sit alongside the existing system, and gave the client a clear path to making their legacy infrastructure genuinely intelligent.
Manufacturing
AI Integration Services
We mapped the client’s existing ERP setup data structures, output formats, module usage, and the manual processes teams had built around its limitations.
Rather than recommending a costly ERP replacement, we advised a targeted AI Integration services approach, connecting an AI layer directly to the existing system to surface predictions, anomalies, and operational insights without disrupting live workflows.
We outlined which data streams were reliable enough to feed AI models, where cleansing would be needed, and how the integration would be structured to avoid performance impacts on the live ERP.
We delivered a phased plan covering data pipeline design, model development, ERP connector setup, and rollout, giving the client a complete picture before any development began.
The ERP was live, critical, and not going anywhere. Every recommendation we made had to account for the reality that disruption to this system was not an option. We designed the AI layer as a read-alongside integration, not an invasive modification.
Years of manual data entry had left the ERP with inconsistencies that would undermine any AI model trained on it directly. A significant part of our consultancy was helping the client understand what data preparation would be needed before the integration could work reliably.
The operations team wanted faster decisions. The IT team wanted stability. We worked with both groups to define an integration scope that delivered visible value to the floor without putting the system at risk. Our recommendation drew on our broader AI Consulting Services to ensure the approach was sound at both the strategic and technical level.
