Integration is an essential consideration for all workflow-related tasks. For successful AI in variable data publishing (VDP), data must interact with systems like MIS/ERP and digital front ends.
Ayelet Szabo-Melamed, VP marketing, XMPie, sees integration happening, and points out that in many organizations that’s where some of the highest-value opportunities will emerge. “The challenge is integration. Organizations typically operate across a wide range of systems, and success depends on having platforms that are open enough to connect these technologies together rather than locking users into a single vendor ecosystem.”
Naimish Patel, VP of sales, OnPrintShop, agrees, and believes this type of integration is arguably where AI delivers the most immediate, measurable return on investment (ROI) for print businesses. “The gains are not always visible to the client, but they are felt directly in operational margins.”
The case for integration is generally straightforward, according to Patel. “Print businesses run on data. Job specs, substrate availability, press schedules, finishing times, shipping windows. When that data lives in disconnected systems, humans spend enormous time bridging the gaps. AI integration creates a connected nervous system where the MIS knows what the web storefront has committed, the ERP reflects the actual material costs, and the production schedule is dynamically optimized based on all three.”
What is newer is AI’s ability to improve the quality of decisions within those systems, not just the speed of data flow. Patel shares that predictive scheduling tools can anticipate bottlenecks before they happen. AI-assisted estimating can factor in job complexity and historical run waste to produce more accurate quotes faster. Anomaly detection flags order configurations that are statistically likely to require reprints or rework.
Piet DePauw, head of marketing, Enfocus, points out that this is already happening. “It is not a future roadmap item for most progressive print operations. The question for most providers is not whether to connect their systems with AI but how quickly and at what investment level. Cloud-based MIS platforms make this easier by building AI connectors into their standard offerings rather than treating it as a bespoke integration project.”
While DePauw admits that integration is one of the most important areas for AI in print, he reiterates the need for it to be handled carefully.
“MIS, ERP, web to print platforms, and digital front ends already contain much of the information needed to automate production—customer data, job specifications, pricing, due dates, stock choices, finishing requirements, and press availability. AI can help interpret and enrich that information, but the value comes when it is connected to a workflow that can act on it,” explains DePauw.
He stresses that a black-box model comes with risks. “Even identical inputs fed into the same model can produce different results. That unpredictability is at odds with the print workflow, which depends on repeatability,” admits DePauw.
Aug2026, DPS Magazine
