Improve a business workflow by deciding the work before choosing the technology

OutsourcingVN is operated by Netbase JSC, which scopes and builds these changes, so read this guide knowing that we sell the work it describes. Netbase delivers remote-first from Hanoi in Agile increments with weekly reviews, using AI-assisted engineering under human review. The method below applies whichever supplier you choose.

What this guide covers

• Which workflow should you change first?
• Process change, integration, product change or AI: which route fits?
• What have Netbase's delivered workflow changes looked like?
• Worked example: what does a mapped workflow look like?
• How should the change be scoped and delivered?
• What goes wrong, and who acts?
• Which questions should you ask a supplier?
• Common questions
• How this guide is sourced
• Start with one repeated decision

Which workflow should you change first?

Choose a workflow that repeats often, has one person who can say what a correct result is, and produces exceptions you can already name. Write it from trigger to outcome: each handoff, system, decision, data class and person who can accept a change. If several teams claim the answer, settle ownership first, because no software resolves a disagreement about what correct means.

Most buyer problems fall into one of a handful of shapes. Start from the page closest to yours:

All eight workflow pages are listed together on the solutions overview.

Process change, integration, product change or AI: which route fits?

Most useful projects start with a process change and add an integration or an AI step only where the cases justify it. Netbase works with commercial and open-source AI models chosen per project (model-agnostic). The AI workflow automation guide goes deeper when the AI route is on the table.

What have Netbase's delivered workflow changes looked like?

Four delivered scopes show the routes in practice.

• An ordering flow that production can read. For ACT Printing, a custom apparel and print shop, Netbase built a guided mobile-first ordering flow with print-location zones, location-bound artwork upload and structured order data with a production summary per order for staff, over about 20 to 25 working days including client acceptance testing. There is no AI in this scope. See the apparel ordering flow record.
• AI flags, a person decides. On a bilingual classifieds platform for a founder who is not named, AI-powered content filtering detects and flags offensive content into an admin moderation dashboard, where an administrator makes the call. It was delivered in six milestones over four months with training and six months of support. See the classifieds moderation record.
• Conversation plus CRM synchronisation. For a client who is not named, Netbase built a WhatsApp Business AI chatbot with intent and conversation-flow handling, an LLM API and CRM synchronisation for lead capture, customer data and workflow automation, in milestones from design and prototype to knowledge transfer and 30 days of support over 4-8 weeks. See the WhatsApp chatbot record.
• Help desk and CRM workflow. Netbase deploys a help desk and B2B CRM with sales chats and client requests in one dashboard, ticket creation, assignment, prioritisation and tracking, workflow automation and a knowledge base.

Netbase has also delivered anonymised client AI projects including retrieval-based knowledge assistants, document AI and MLOps pipelines.

Worked example: what does a mapped workflow look like?

Take a hypothetical parts distributor whose support lead owns an inbox of order questions, address changes and complaints. After a week of sampling real messages, the map looks like this:

Follow one message: a customer asks to change the delivery address on an order that is already invoiced. Intake logs it and matches the order. Triage suggests "address change"; the agent confirms. The workflow places it in the change-request queue rather than editing the record, and the finance approver accepts it, which reissues the paperwork. The case closes with the approver's name and reason on the ticket. That trail is the acceptance evidence: the support lead can replay the same case after every release.

The human-in-the-loop guide covers where review points like the triage confirmation belong.

What goes wrong, and who acts?

Which questions should you ask a supplier?

How this guide is sourced

Every statement about Netbase on this page maps to a registered claim backed by attested company facts, listed under Sources, and appears only in the wording the register approves. The route comparison, failure modes and supplier questions come from how Netbase teams scope workflow projects; the distributor example is hypothetical. Nothing here comes from a benchmark or survey.

What the records show and what they do not, stated once: the ordering flow, classifieds and chatbot records document delivered scope, and none of them publishes an operating result, a saving or an accuracy figure. Your own baseline and pilot are the only evidence of an outcome for your workflow. The methodology explains how published records are reviewed.

Start with one repeated decision

Submit a project with the workflow, its owner, the systems it touches and the point where it fails today. OutsourcingVN is Netbase's own outsourcing-services platform, and the first conversation decides whether a process change, an integration, a product scope or an AI Workflow Blueprint assessment is the honest next step.

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