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What AI automation includes
Most operational work follows a pattern: something arrives, someone checks it, updates a system and tells the next person. Workflow automation handles the predictable parts; an AI agent goes further, reading an unstructured file, deciding the next step and calling the right tool, within set limits. Agentic AI automation decides the mix and builds it into your existing systems, part of our AI & Data family.
Included
- Process discovery and a measured baseline
- Rule-based workflow automation
- AI steps for reading, classifying and drafting
- Agents that call your tools within set permissions
- Human approval queues and exception handling
- Audit logs, monitoring and a rollback path
- Integration with email, storefront, ERP, CRM and files
Not included
- Fully autonomous decisions on money, contracts or people without review
- Replacing core systems such as your ERP or CRM
- General AI training for staff with no workflow in scope
- Research projects with no production target
- Guaranteed savings or headcount figures
When to use it, and when another route fits
AI automation earns its cost when volume is high, steps repeat and inputs are messy enough to break plain rules.
Good fit
- Hundreds of similar requests, orders or documents each week
- Inputs arrive as emails, PDFs or images, not clean forms
- A clear owner who can approve changes to the process
- Decisions that can be checked against a rule or a person
Another route fits better
- A handful of cases a month: better tools or a checklist may do
- Inputs are already structured: rule-based automation alone is cheaper
- No one owns the process end to end
- Decisions nobody can explain or audit
Our guides on AI agents versus workflow automation and AI readiness help you choose. For order and fulfilment work, the rule-based commerce operations automation solution is often the better first step; other routes are in the services directory.
Outcomes and buyer jobs
Operations teams hire AI automation to:
Data moves between inbox, storefront and back office automatically.
Routine cases flow through; only exceptions wait for a person.
Refunds, credit, pricing and anything customer-facing pass an approval step.
Every action is logged for easy audits and fixes.
Time, error rate and cost per case are compared with the baseline.
Capability modules and deliverables
Process map, volumes, exception types and a measured baseline
Rules versus AI decision per step, approval points and permissions
Rule-based flows for the predictable steps
Reading, classifying, extracting and drafting, with confidence thresholds
An agent that plans steps and calls approved tools within set limits
Review queues, escalation rules and a manual fallback
Audit logs, accuracy checks and a dashboard against the baseline
Reusable starting points
Netbase's productized module library includes a workflow automation toolkit, an AI chatbot, a CRM and sales engine, Smart ERP Light and an e-commerce accelerator. The build starts from a fitting module; custom work is yours.
Delivery process, team, quality and security
Automation projects run on the Netbase six-step delivery lifecycle:
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Discovery and strategic alignment
The process, its volumes and exceptions, and the baseline the automation is measured against.
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Team assembly and architecture planning
A team of 3 to 30 people, combining business analysts, project managers, solution architects, developers, QA and UI/UX.
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Agile execution with outcome-based milestones
Each milestone ends in a working automation to review.
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Modular and productized components
Proven modules are reused where they cut risk and time.
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Training, rollout and optimization
People learn the new flow as steps go live in stages.
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Ongoing support and co-building
Rules and models are tuned as inputs change.
Every automation starts in shadow mode: it proposes, a person decides, and accuracy is measured before any step runs alone. Delivery is Agile and remote-first, and agents reach systems only through scoped, logged APIs. Security practices include secure code review, TLS and AES encryption, role-based access control, MFA and vulnerability scanning. NDAs and DPAs are available on request. Our AI agent security, agentic AI architecture and RAG architecture guides go deeper into these controls; our evaluation harness guide covers testing an agent before it reaches production data, our first-90-days operating plan sequences discovery through the go/no-go decision, our MCP servers guide covers connecting an agent to your ERP or CRM safely, our observability guide covers what to trace, tier and stop, our A2A and MCP guide decides when a second agent needs a delegation protocol too, and our AI agent operating model guide names the owner and escalation ladder behind every approval gate above.
AI in this service
Where AI already runs in delivered work, and where it is offered as a growth capability. Beyond 4over4, Netbase has delivered RAG knowledge assistants and document AI for clients that are not named; their anonymised records are linked in the evidence below.
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In delivered work
Product recommendation engine
Delivered for 4over4 in the same project.
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Available capability
Machine learning, NLP, computer vision, generative AI and AI with IoT
AI capability areas Netbase offers; beyond the 4over4 features they are not yet tied to a published case.
Engagement models and commercial variables
Most Netbase projects are delivered on fixed-price contracts agreed after discovery. A first automation usually runs as a project-based engagement with milestones; a programme of several workflows suits a dedicated team or an AI transformation programme. Milestone-based, monthly team retainer and KPI-linked terms are also offered; we do not publish rate cards.
What moves effort and cost: the number of steps and systems, how messy the inputs are, how many exceptions exist, data protection needs and the autonomy you allow.
Technology as an implementation choice
We pick the simplest tool for the job: rules where rules work, a model where reading or judgement is needed, an agent only where steps genuinely vary. We work with models from OpenAI, Anthropic (Claude), Google (Gemini) and Meta (Llama), among other models, chosen per workflow. The components for models, orchestration, data and monitoring, and the trade-offs between them, are on our data and AI stack page. An enterprise AI agent platform is on our roadmap as a strategic vision offer; until then, agents are built per workflow.
Industry applications
Printing and packaging. Artwork arrives in every format, orders need checking against print rules and customers ask the same status questions all day. File checks, order triage and status replies are natural first candidates.
Commerce and back-office operations. Order exceptions, supplier emails, invoice matching and CRM updates follow the same read-check-update pattern. Our guide to AI automation for business operations walks through where to start, and our order-to-cash AI agents guide names the human-approval line for invoicing and cash application.
Printing and packaging: online ordering, AI artwork checks and production handoff
Netbase helps print and packaging businesses move ordering, artwork approval and production handoff online, with AI where files go wrong, so customers configure, design, proof and pay in one flow and the press floor receives clean jobs. Six published print-commerce case studies and 50+ custom web-to-print platforms, across apparel, packaging, signage, promotional merchandise and B2B portals, back this page.
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Evidence: delivered AI and automation foundations
The capability areas above are delivered on request; the AI work tied to a named Work item is the 4over4 project, and anonymised AI projects for unnamed clients, a RAG knowledge assistant, a document AI platform and a WhatsApp AI chatbot with CRM integration, are recorded without client names or results.
Delivered AI: 4over4 (online printing, United States). Netbase built a recommendation engine from browsing and purchase history and, as automation rather than AI, converted Adobe Illustrator (.ai) files to SVG so customers could finalize designs without manual file fixes. As reported by 4over4, design-file production time fell 40% and fulfilment time 50%, with 200+ new templates in three months, reflecting the whole project, not the recommendation engine alone. Read the 4over4 case.
Automation foundation: Printcart (Netbase Business Division). Printcart, the web-to-print platform Netbase builds and runs, turns online orders into print-ready files and routed fulfillment without manual hand-offs: rule-based automation, not AI, that shows the order, file and status plumbing an agent needs before it can act. See the Printcart record.
Buyer FAQ
Only where you decide. Every automation starts in shadow mode, and risky actions keep a permanent approval step.
We measure time per case, error rate and cost per case before the build, then compare the same numbers after rollout.
Low-confidence cases go to a person, every action is logged, and each automation has a manual fallback and a rollback path.
Yes. Integration with email, storefront, ERP, CRM and file storage is planned in discovery.
You own the IP created for you. Netbase productized modules are licensed, not transferred.
Data handling is agreed in discovery and written into the DPA; we design the automation to process only the data it needs.
Yes. Every Netbase engagement, including AI automation and agents that keep people in charge work, is delivered remotely from our head office in Hanoi, and clients in any country can engage us. Netbase has worked with clients in 80 countries. Onsite work is available on request.
Yes. Clients in any industry can engage Netbase for AI automation and agents that keep people in charge work, and it is delivered remotely. Netbase has worked with clients in 80 countries. Tell us your industry and we will say plainly whether we have delivered similar work.
You pay the company, not an individual. Contracts and invoices for AI automation and agents that keep people in charge work are issued by Netbase JSC, and payment is made by bank transfer to Netbase JSC's company account or by PayPal Business.
Talk to the CEO, Huy Nguyen (David). Message him on WhatsApp or by email with what you need for AI automation and agents that keep people in charge work; every other channel is on the contact page. WhatsApp +84 937 869 689 · sales@netbasejsc.com
Related solutions
AI-assisted ecommerce operations automation: from paid order to delivered parcel
Ecommerce operations automation removes the manual order, production and fulfilment steps behind a storefront: routing, file preparation, status updates and back-office sync, with AI flagging risky orders and triaging exceptions. It suits merchants and online printers whose order volume has outgrown their staff. In delivered work, 4over4 cut design-file production time 40% and Geo-Tek cut order processing time 30%.
Learn More
Service owner and next step
This service is owned by David, Netbase's Chairman, founder and CEO, and maintained by the Netbase Editorial Team. Pick one workflow that eats your team's week and send us a sample: book a solution review, or view relevant work first. Weighing this against a strategy firm or a platform vendor? See choosing an AI consulting partner.
Work with Netbase remotely
Every Netbase engagement, including AI automation and agents that keep people in charge work, is delivered remotely, so clients in any country and any industry can work with us. Netbase has worked with clients in 80 countries. Contracts and invoices are issued by Netbase JSC, and payments go to the company: bank transfer to Netbase JSC's company account or PayPal Business. Your first contact is the CEO, Huy Nguyen (David), by WhatsApp or email.
Discuss a project
Netbase JSC helps organizations design, build, modernize, and operate digital products and AI-enabled business systems.project@netbasejsc.com
+84 937 869 689
91 Nguyen Chi Thanh, Dong Da, Hanoi, Vietnam
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