Service · Add AI and workflow automation Services
AI-assisted print workflow features add specific, reviewed AI steps inside a web-to-print workflow, such as flagging likely artwork problems or drafting a specification from a brief. Web2Print Solutions builds these so a human reviews the result, with accuracy measured on the client's own data before acceptance. Pricing authority, artwork approval and production release stay with a person.
Service at a glance
The Customer Support Personnel was very helpful, efficient and professional, going over and above to help, even reaching back to ask if the solutions provided worked and if I needed any more assistance. Her name is Perla Nguyen. I commend her highly and appreciate her efforts at resolving all my problems with the plug-in. Very satisfied customer. 5 Stars
Philippines
An AI-assisted step is a specific point in a web-to-print workflow where a model produces a suggestion, a flag or a draft, and a person reviews it before it has any effect on price, artwork or production. It is not a claim that a workflow runs itself. The limits of AI in print workflow are set out separately. We can build AI-assisted steps into print workflows where a human reviews the result, with accuracy measured on the client's own data before acceptance. That sentence is the boundary of the whole service: every feature on this page is built to that condition, and none is built to remove it.
Among the web-to-print engineering services, this is the one that adds judgement-assisting steps to an existing or new platform rather than owning the platform itself. It is usually commissioned alongside a new implementation or a print product configurator, because an AI-assisted step needs a workflow, a reviewer and a data set to sit inside, such as the print job workflow in the platform.
A model checks an uploaded file against known problem patterns, such as low-resolution raster content, missing bleed, an unexpected colour mode or a font not embedded, and flags it for a person before it reaches prepress.
A model reads an emailed or uploaded brief and drafts a structured specification, quantities, sizes, stock and finishing, for a person to check and correct against the actual order.
A model groups related failed or flagged orders by likely cause, so a support or operations person reviews a shortlist instead of a raw queue.
A model drafts a first pass of product descriptions or option labels from a specification, for a person to edit and approve before publication.
The exclusion list is longer than the offer list on purpose. Each item below is something an AI-assisted print feature could plausibly do and that this service will not build without a named override, because it would remove the review step the whole offer depends on.
AI tools assist our own engineering work. A named human engineer reviews and remains accountable for everything we deliver, and no generated output ships unreviewed. That commitment describes how Web2Print Solutions builds these features, and it is also the design constraint the features themselves are built to enforce for the client's own team: an AI-assisted step is only accepted once it demonstrably narrows a person's work without quietly taking a decision away from them.
This matters most where a mistake is expensive to reverse. A flagged low-resolution image that a person waves through is a normal workflow event; an auto-corrected file that goes straight to a production press without anyone looking at it is a different kind of risk. The scope of each feature is set by where that line falls for the client's own process, not by what a model happens to be capable of producing.
Each AI-assisted step is tested against the client's own artwork, briefs or order history before acceptance, with the agreed accuracy figure recorded for that data set specifically.
Every flag, draft or triage grouping the feature produces is shown to a named reviewer role before it has any downstream effect, and that review step cannot be silently bypassed.
When the model has low confidence or the input does not match a known pattern, the feature returns that state explicitly rather than a plausible-looking guess.
Name the exact workflow point, the reviewer role and the decision the step should not be allowed to make
Build the feature against the client's own artwork, briefs or order history
Run the agreed test set and record the accuracy figure the client accepts
Release with the review step in place, monitored like any other production change
The default engagement is fixed-scope with written acceptance criteria and priced change control. Managed operations is a separate, opt-in agreement, and ongoing monitoring of an AI-assisted step in production is scoped there or as an explicit extension to this engagement, not assumed as part of the build.
The default engagement is fixed-scope with written acceptance criteria and priced change control.
One operational boundary, written down and agreed before any build starts.
Acceptance criteria are written first and tested against your own products, files or orders.
A change after sign-off is described, quoted and agreed before it is built.
There is no list price: you receive a written quote once the brief or discovery has fixed the scope.
Managed operations after launch is a separate, opt-in agreement. How we run a web-to-print engagement
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The Hanoi team of Netbase JSC scopes, builds and hands over this service. The figures below are records of the wider Netbase group.
Netbase group figures
Nguyen Quang Huy
CEO
Leads Netbase JSC and its web-to-print engineering team.
Vo Tuan Vu
Platform Developer
Builds and runs the platform layer behind client stores.
Nguyen Ngoc Huy
Fullstack Developer
Works across storefront and back end, from designer to order handoff.
Vu Duy The
Fullstack Developer
Builds storefront features and the integrations behind them.
What the Netbase group has delivered since 2012, and what clients say about working with the team.
Netbase group figures · since 2012 · operated by Netbase JSC · as of September 2026 · source: company project records
A Canadian online print shop selling business cards, marketing materials, stationery, cards and signage, with an online designer on WooCommerce.
An Australia-wide custom apparel printer selling T-shirts, hoodies, workwear and merch with an instant-quote storefront and online designer.
A Māori-owned New Zealand store selling custom merch and DTF and UV DTF transfers, printed to order with overnight NZ-wide shipping.
“The technical support has been amazing, … always are ready to solve any problem, despite time zone, my company are Located in USA (11 hrs difference) and they response pretty fast. Thanks Guys”
“We've been using … over the last few years and had nothing but rave reviews from customers who use it. We've also received excellent and timely support from the team at Netbase. Thanks guys”
“I would like to thank … for his speedy reply and assistance in installation. Great service provided!”
Quoted word for word from client reviews; “…” marks a removed product or person name.
Send a project brief naming the one workflow step you want assisted, who currently reviews that step, and a sample of real briefs, artwork or order history the feature can be measured against. Web2Print Solutions has not published a delivered example of this feature under its own name; the proof offered here is the acceptance test run on your own data, not a prior case. Related work on the pricing and production side is scoped under print pricing engine, print-ready PDF and prepress automation and print production workflow automation.
No. Pricing authority stays inside the pricing engine and its own review rules. An AI-assisted step may surface information relevant to a price decision; it does not make the decision.
No. It flags likely problems earlier so prepress spends less time on obvious issues; prepress still reviews and accepts the file.
The feature is built to say so, rather than guess. A low-confidence result returns to the named reviewer as a flagged case, not as a silent pass.
No. Any accuracy figure is measured on the client's own data during acceptance and recorded for that engagement; it is not asserted generically in advance.
Yes. Web2Print Solutions delivers remote-first from Hanoi, Vietnam, and Netbase JSC has delivered web-to-print projects for clients in 80+ countries.
Send a project brief at /project-brief, email project@netbasejsc.com or message us on WhatsApp at +84 937 869 689. A senior engineer reads every brief and replies in writing.
Each service is scoped around one operational boundary and can follow this one.
Add AI and workflow automation
Web orders become job tickets, routed to the right queue, with status sent back to the buyer and every exception held for a named person.
Add AI and workflow automation
An agent that turns print enquiries into complete specifications and answers order-status questions, while prices and commitments stay with your systems and staff.
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A plain verdict on an inherited or stalled print platform, then a tested migration with parity checks, cutover and rollback.
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Tell us about one product you want to sell online. A senior engineer reads every brief and replies in writing.
I have been using the services of this team, and I must say they are truly excellent. Their commitment to meeting my needs promptly is commendable, and their patience in resolving issues sets them apart. One of the standout qualities of this team is their willingness to patiently explain things, even if I am unfamiliar with certain concepts. We had initial doubts about integrating AI into our processes, and they took the time to address our concerns, providing valuable insights and ideas on how to seamlessly incorporate it. …
Spain
