AI operations for print companies
We build AI-assisted exception workflows around the website upload, order inbox and prepress checks you already use. Your rules decide what passes; the AI explains issues, gathers corrections and escalates when a person is needed.
The wedge
Bad artwork should create a machine-handled exception, not another email thread for your prepress team.
[ 01 / The workflow ]
A customer submits artwork. Something is wrong. Finding the problem is only the start; the expensive part is the repeated coordination that follows.
Today
With Agent Effects
[ 02 / How it works ]
The important design choice is where the AI is allowed to make decisions, and where it is not.
01 / Existing customer journey
Website upload, ecommerce order, email, or another artwork entry point. Agent Effects receives the file together with the product and job context that determines which rules apply.
02 / Deterministic truth
Dimensions, resolution, bleed, transparency, named spot colours, overprint and other defined requirements are checked deterministically. An LLM does not improvise a production decision.
03 / Exception resolution
It explains the structured findings, requests a corrected file, answers questions from approved rules, follows up when needed and automatically rechecks replacement artwork.
04 / Existing prepress
When the configured checks pass, the file is released back into the workflow you already trust. Anything ambiguous or unusual is escalated to a human instead of guessed.
[ CUSTOMER ORDER / UPLOAD ]
Product + options + artwork
│
▼
[ DETERMINISTIC PREFLIGHT ]
Defined rules produce structured findings
│
┌────┴────┐
▼ ▼
PASS FAIL
│ │
│ ▼
│ [ AGENT EFFECTS ]
│ Explain → collect → follow up → recheck
│ │
└────┬────┘
▼
[ YOUR EXISTING PREPRESS / PRODUCTION WORKFLOW ]
[ 03 / Guardrails ]
Agent Effects can
Agent Effects cannot
[ 04 / Integration ]
The goal is not another portal or all-in-one print MIS. Agent Effects should disappear into the workflow you already have.
Customer side
Your customer still chooses the product, selects the options and uploads artwork where they already do today.
Agent Effects
Product, SKU, dimensions, finishing options, turnaround and other job data select the correct rule profile and keep the conversation tied to the right order.
Production side
Once the configured checks pass, the job goes back to your existing prepress, RIP, MIS or production workflow. Agent Effects does not replace the final production authority.
Existing upload / inbox → deterministic check → Agent Effects exception handling → existing prepress workflow.
[ 05 / Personalised demos ]
Every first demo is scoped around one real artwork workflow, often starting from a print company’s published requirements and order journey. It is a clearly labelled prototype, not a claim of live integration.
We review how artwork arrives, identify a specific rule-driven exception, and demonstrate how the customer would receive an explanation, supply a corrected file and return to the existing process. A sample failing file and corrected file make the test concrete.
Already received a personal example from us? Reply to that message with the case you want us to test.
No obligation. One realistic exception, using sample artwork. Live integrations are scoped separately.
Illustrative prototype · synthetic artwork, not a live customer job
Two deterministic failures are explained to the customer. Corrected artwork is collected, checked again, then released back to the existing workflow.
[ 06 / Why Agent Effects ]
Agent Effects is a hands-on implementation business, not a print-software marketplace. We start with a director-level discussion of one interruption in your current process, then build a small, testable workflow around your actual rules.
You can challenge the demonstration with awkward cases before discussing a paid pilot. What remains manual, which systems need access and how exceptions return to your team should be explicit from the beginning.
Your rules own the decision. Automation handles the repetition.
[ 07 / FAQ ]
No. Defined technical requirements are evaluated deterministically. Agent Effects uses those structured findings to handle the conversation and workflow around an exception. Your existing authoritative prepress or production process remains in place.
That is specifically what we're trying to avoid. The preferred implementation sits behind the artwork entry point you already use, so customers keep using your existing product, upload or order flow.
The system escalates rather than inventing an answer. The handoff can include the order context, artwork findings and conversation so your team can resolve the unusual case without reconstructing everything from scratch.
Yes. The same principle applies, but the attachment first needs to be resolved to the correct order or job context. Where that cannot be determined safely, the system asks or escalates rather than guessing.
No. Agent Effects is designed to work around your existing deterministic tools and production process. The first target is the repetitive exception-resolution work that surrounds preflight failures.
Email the product or artwork-requirements link, how customers send the file today, and one frustrating recurring exception. We can scope a realistic prototype using synthetic failing and passing artwork. It is not connected to your live orders unless a separate integration is agreed.
One real workflow. Your existing rules.
Send a link to your product or artwork requirements and describe one repeated issue. We’ll identify the smallest useful demonstration before proposing any live implementation.