Robot Outlook
Search For AI About Videos Ask What is Physical AI AI employees

Artwork preflight

Stop turning every failed artwork check into a manual email thread.

Your preflight system should decide what is wrong. The AI employee can explain the finding in plain language, ask for the corrected file or approval, remember the job state and escalate anything ambiguous.

The job

Preflight finds the issue. The expensive part is often the loop after it.

The AI sits around the deterministic check rather than pretending to be the check. That keeps production truth in PitStop, Switch, your MIS/RIP or another bounded rules engine while automating the repetitive customer conversation.

01

Read the result

Consume the deterministic preflight finding and the job context.

02

Explain it

Translate the issue into customer-facing language tied to your artwork requirements.

03

Request the next action

Ask for a corrected file, explicit approval or the missing information the job needs.

04

Recheck or escalate

Run the approved check again when possible, or hand ambiguity to prepress.

Do not take our word for it

Try it yourself before you decide.

Send us your business details and the workflow you want handled. We’ll shape the demo around your real services and customer questions so you can put it through its paces.

01

Give it a normal customer

Test the everyday enquiry you want taken off your plate.

02

Give it the awkward one

Ask the strange question that usually needs a bit more thought.

03

Push past the script

See whether it admits uncertainty and hands the conversation to a person.

04

Then decide

If the workflow is useful, we can put it to work. If it is not, you have learned that before deploying it.

Human control by design

What the AI should not do.

The AI does not invent a pass/fail result.

The AI does not silently make destructive artwork changes.

The AI does not override PitStop, Switch, MIS, RIP or other authoritative production checks.

Ambiguous artwork, commercial exceptions and unsupported cases go to a person.

Evidence

The truth layer stays deterministic

This is an adapter-first workflow. Existing preflight and production systems remain authoritative; the AI employee handles explanation, coordination and state around their findings. We are collecting print-shop deployment evidence separately and will not fabricate benchmark claims before that corpus exists.

Build your demo

We’ll build it around your real workflow.

Send us your website or workflow guide and tell us where the repetitive work gets stuck. If you’re a print shop, an artwork guide, upload flow or product page is ideal. We’ll use the real rules to shape a demo you can test yourself.

No generic chatbot pitch. The point is to give you something built around your real rules that you can test with normal cases, broken cases and situations it should hand back to a person.