Stop Losing Time, Margin, Capacity to File Errors

Most print businesses don’t have a production problem. They have a file quality problem.

Jobs arrive with missing bleeds, low-res images, wrong colour modes, incorrect trims, or missing fonts. Your team finds the issues too late, chases corrections, reschedules production, and absorbs the cost.

Meanwhile:

Skilled prepress staff are harder to hire
Labour costs keep rising
Equipment investment is expensive
Customers still expect faster turnaround

This playbook shows how leading printers eliminated the endless correction
cycle by validating files before they ever reach production.

Automate your preflight

Control Media team at their print production facility in Etten-Leur Netherlands

How automated preflight doubled a printer's order volumes

Control Media’s prepress team was catching file errors manually. Wrong colour modes, missing bleeds incorrect files. Jobs that should have flowed straight to press were sitting in queues waiting on corrections.

After implementing automated preflight through Infigo and Enfocus Switch, file validation happens before any job reaches production. Errors get flagged and resolved at the point of order, not discovered on the floor.

The result: order volumes nearly doubled year-over-year. Small-run digital jobs jumped from 1-2 per week to 16. And overnight production runs now happen without anyone needing to be in the building.

2x order volume growth | 8x increase in small-run digital orders | 3,000 order lines in their peak month

Read their full story

Prefer to watch automated preflight in action?

Jeremy Hall has 37 years in print. In this 30-minute session, he demonstrates exactly how automated preflight catches and fixes file errors at upload. Well before they reach your production floor.

Watch the replay

Already an Infigo customer?

Our January technical workshop with the development team covered hands-on configuration of automated preflight, validation rule optimization, and troubleshooting. Missed it? Rewatch the session to see how to implement quality automation for your specific workflow.

Watch the Recording

George Vragalev and Pablo Cubillas Alarcon

Stop Guessing Where Every Job Is

Once orders are flowing automatically, the next challenge is visibility. Who can see what’s happening to a job right now? What does your CSR team see? What does production see? And how do jobs get to the right place at the right time without manual intervention?

Our next guide covers the full order journey from checkout through to production, giving every team the real-time view they need to stop chasing updates and start managing by exception.

Join the waitlist and we’ll send it straight to your inbox when it’s released.