Skip to content

Blog · Published · Updated

Custom packaging artwork print release software

Short answer

Software for releasing packaging artwork ties the approved artwork to a specific print release: the product, the pack size, the language version and the order. With several variants, a note saying „design ready” leaves too much work in the inbox. First check whether comments and approvals in PDF are enough.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Packaging and AI: statistics 2026

1.6 mo.

payback of €3,000 at 300 print releases a month: €2,618 of work today, €787 with checking and the model. Scenario.

Figures checked: 22 October 2026

Releasing artwork to print
  1. 01Approvalartwork approved against a version
  2. 02Variantproduct, pack size and language
  3. 03File setfiles assigned to the variant
  4. 04Releasea specific print order
  5. 05Historywhich release went to the printer

The same look, a different pack size

Imagine a manufacturer preparing packaging for two sizes of the same product. The client approved the new artwork for the larger box. The smaller one is still being corrected. The buyer receives a message that the new design is ready and starts preparing an order covering both sizes.

In the proposed workflow, the buyer sees the file set for each product separately. They can order print for the approved larger pack, and for the smaller one see who is handling the correction and what is still awaited. The person responsible for releasing materials names the files that go to the printer with this order. Later work on the next edition does not change the content of a set already handed over.

What the company counts as a set also matters. It may include the box and an insert, or several files for different sides of the pack. When an order covers only part of the materials, the employee should be able to choose the agreed scope without marking the whole product family as ready. The person who prepares orders for the printer today explains these dependencies best.

The team stays responsible for the content and the assessment of the materials. The software helps decide what can be handed over, to whom and for which product. It replaces neither specialist design checks nor the assessment of labelling requirements.

Comments on a PDF may already be enough

Adobe Acrobat lets you add comments to a PDF and reply to them, also on a marked part of the document. The options to edit and delete comments depend on the role. It is a specific feature to use if the biggest difficulty is a scattered discussion about the artwork.

Before ordering software, check the system you use to manage artwork, products or orders. It may already store packaging sets and let you share them. The administrator or the vendor should show the work on the product family from the example, with one variant ready and the other waiting for a correction.

If the current tool handles comments well, you can keep it and commission only the link between the approved set, the product and the order. A custom workflow is worth considering when these links follow a fixed layout specific to the company and people regularly reconstruct it from file names and messages. When you compare offers, also include the client's and the printer's part: how they get access, the plans available and help for occasional users.

Moving over without mixing up running orders

Above all, move the materials already handed to the printer and the open corrections into the new workflow. For each running order, the team should be able to find the agreed set. Older projects can stay in a searchable archive if current work does not need them.

Decide who maintains the connection to the product catalogue and the orders, and who helps when a recipient cannot open the materials. An export should keep the links between files, the product and the print release. Access to data, code and documentation matters if another team later takes over the support.

Talk to Syntalith about your packaging artwork workflow. One set sent to the printer lets us decide which part of the work is worth linking to your current tools and what a custom application would cover. A custom application or automation at Syntalith costs from €3,000 net (pricing).

What it costs

Scenario: 300 print releases a month
Today
300 print releases × 15 min = 75 h (€2,618)
With the system, a person checks the result in 30% of the time
€785
Model, 1 call per case, Claude Sonnet 5.5
€2
Cost of one case
€8.72 today, €2.62 with the system
Saving
€1,831 a month

Payback of €3,000

1.6 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 2,000 input tokens and 200 output tokens per call at Anthropic's rates, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

What we measure in the trial
  • The time from receiving a case to the result, before and after the change
  • Cases the application passed to a person
  • Corrections by the person checking
  • The cost of the model and maintenance at the target volume

Where to start

In the free review we choose one process and count the volume and the team's working time, and within 2 working days you receive a written summary with a price. We build the automation as part of AI automations, from €3,000 net.

Worked example · Scenario

How we count the payback: print releases

We run the same count for your plant in the free review.

€5,235

a month for quoting 150 enquiries by hand

Payback: 0.7 mo.

1 hour to quote an enquiry with a drawing and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: reading the enquiry in our quoting system (about €0.0008) plus pricing the lines (Claude Sonnet 5.5, about 4,000 + 1,500 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume 1 in 40 enquiries quoted the same day ends in an order that a slow reply loses today, with a margin of €688. In the review we count it on your sales process.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

When an off-the-shelf tool does not fit, we build your own.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • Why use software for releasing artwork to print?

    So that the person ordering print sees the file set assigned to the product, pack size, language and order, without searching for it in email.

  • Are PDF comments enough?

    With a few variants, yes: comments and approvals in PDF carry the artwork agreement. Software makes sense when there are many variants and a print release combines several files.

  • How much does it cost?

    At Syntalith, AI apps, automations and agents start from €3,000 net. At 300 print releases a month and 15 minutes each, the payback is 1.6 months.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.