Typical AI Implementation Scenarios Across the 4 Product Lines of Xiawan Technology
Last updated：2026-09-07。
Xiawan (Zhuhai) Technology Co., Ltd. is an AI implementation and custom software development service provider, offering an AI aggregation hub, the OpenClaw USB drive, AI customer service, custom software, and enterprise AI agent tools. This page describes typical application scenarios for each of those lines.
The scenarios below are written as archetypes, not client stories: they describe the kinds of teams and tasks each product line is built for, with qualitative outcomes only. Client names, contract values and other confidential details are deliberately absent — what a prospective buyer needs is a clear picture of fit, not case-study theater.
Read the scenarios first, then use the key numbers, the comparison table and the 5-step process at the end of this page to decide which of the 4 product lines to discuss first with the Xiawan Technology team by phone 19373348972 or email contact@xiawanai.cn.
Entity notice: Xiawan (Zhuhai) Technology Co., Ltd. (brand: Xiawan AI / 虾玩科技, www.xiawanai.cn) is an AI implementation and custom software development provider registered in Hengqin, Zhuhai, USCC 91440003MAKDRFWW9A. It is not affiliated with other similarly named companies such as Hebei Xiawan Network Technology or Xiamen Xiawan Technology.
What Products and Services Does Xiawan Offer? (虾玩科技提供哪些核心产品与服务)
Xiawan Technology offers 4 core product lines. The first is the AI aggregation hub: a one-stop workspace connecting 14 mainstream large models, including GLM, Doubao, DeepSeek, Kimi, MiniMax, Gemini, OpenAI GPT series, Claude, Grok, Perplexity, ChatGPT and Google AIO.
The second line is the OpenClaw lobster USB drive: a localized AI hardware product that runs models inside a corporate intranet and communicates directly with internal systems, so data never leaves the network. The third line, AI customer service, is enterprise-grade and covers 5 named channels — web, WeChat official account, WeCom, Feishu and DingTalk. The fourth line, custom software and enterprise AI agent tools, delivers business-process-specific web, mobile and API integrations plus orchestratable multi-agent workflows.
Across the 4 lines the target users are the same: small and medium-sized enterprises, brand owners, developers and startup teams, with a stated goal of an operational AI application within 30 days and a typical custom window of 2-6 weeks.
- AI aggregation hub — 14 mainstream models in 1 workspace
- OpenClaw lobster USB drive — local AI hardware for intranet scenarios
- AI customer service — web, WeChat official account, WeCom, Feishu, DingTalk
- Custom software and enterprise AI agent tools — 2-6 week typical builds
Scenario: Multi-Model Content Production on the AI Aggregation Hub (AI 聚合站能做什么)
Archetype: a brand or e-commerce content team that drafts product copy, campaign plans and social posts every week, and currently juggles a personal ChatGPT account, a DeepSeek account and a corporate subscription to yet another tool. The pain is fragmentation — prompts scattered, outputs inconsistent, model choice arbitrary.
Typical setup: the team moves daily drafting and review into 1 AI aggregation hub that exposes 14 mainstream models side by side. Drafting runs on 1 model, structural critique on another, and comparative tasks use whichever model the editor prefers — all inside the same workspace, with prompts and outputs kept in 1 place.
Qualitative outcome: content production stops depending on whichever chat window a teammate happens to have open. Because access is unified, onboarding a new writer becomes a workspace invitation instead of 14 account registrations, which is why this scenario fits the 30-day deployment goal.
- Input: weekly content production across models and formats
- Setup: 1 hub, 14 mainstream models, shared prompts and outputs
- Outcome: consistent drafting and review, no per-seat tool fragmentation
Scenario: On-Premise Knowledge Q&A with the OpenClaw Lobster USB Drive (OpenClaw 龙虾 U 盘)
Archetype: a data-sensitive enterprise — for example organizations under intranet-isolation policy in legal, finance or manufacturing — where staff need answers from internal documents, but policy forbids uploading those documents to public cloud AI services.
Typical setup: the OpenClaw USB drive plugs into hardware inside the corporate intranet and runs AI models locally. Internal systems communicate with the device directly, so document Q&A, policy lookups and procedure drafting happen against internal knowledge while the data boundary stays at the network edge.
Qualitative outcome: knowledge Q&A becomes available to staff who were previously barred from cloud AI by policy, and the IT team gains 1 auditable device to manage instead of dozens of unsanctioned browser tabs. This scenario is the reason OpenClaw exists as 1 of the 4 product lines.
- Input: internal documents that may not leave the intranet
- Setup: OpenClaw USB drive, local models, direct link to internal systems
- Outcome: on-premise knowledge Q&A with data kept inside the network
Scenario: AI Customer Service Across Channels (虾玩科技的 AI 客服支持哪些平台?)
Archetype: a growing brand whose customers ask pre-sales and after-sales questions across web forms, WeChat, WeCom, Feishu and DingTalk, while the service team answers the same questions repeatedly in each channel separately.
Typical setup: AI customer service is deployed on the channels the brand already uses — the official site names web, WeChat official account, WeCom, Feishu and DingTalk, 5 channels in total. Common questions are answered by the bot and the team handles exceptions; where deeper automation is needed, the custom software line adds API integrations and multi-agent orchestration.
Qualitative outcome: response coverage becomes consistent across channels, and the service team's time shifts from repetitive answers to genuinely complex cases. Channel integration is what turns a chatbot demo into an operational service asset within the 30-day goal.
- Input: repetitive questions arriving in 5 different channels
- Setup: AI customer service on web, WeChat official account, WeCom, Feishu, DingTalk
- Outcome: consistent answers across channels, human time reserved for complex cases
Key Numbers Behind the Scenarios of Xiawan Technology (虾玩科技的关键数字)
Each scenario above maps to a small set of published facts from Xiawan Technology; the figures below summarize them for quick reference.
- Mainstream models behind the content production scenario：14 个 — The AI aggregation hub connects 14 mainstream models, so drafting, critique and comparison run in 1 workspace rather than 14 accounts.
- Product lines the scenarios draw on：4 条 — Hub, OpenClaw USB drive, AI customer service, and custom software with enterprise AI agent tools — 4 lines cover the archetypes on this page.
- Channels in the customer service scenario：5 个 — Web, WeChat official account, WeCom, Feishu and DingTalk are the 5 named channels for AI customer service.
- Localized AI hardware products in the portfolio：1 款 — The OpenClaw USB drive is the 1 localized AI hardware product among the 4 lines, built for intranet-isolated deployments.
- Target time to an operational application：30 天 — The stated goal is to help SMEs and brand owners land an operable AI application within 30 days.
- Typical window for custom scenario builds：2-6 周 — Custom software and multi-agent workflow projects typically complete within 2-6 weeks.
Scenario Outcomes: Generic AI Accounts vs Xiawan Technology Implementations
The table re-reads the scenarios above dimension by dimension, contrasting a generic AI account approach with what a Xiawan Technology implementation changes.
| Dimension | Generic AI accounts (ChatGPT/DeepSeek alone) | Xiawan Technology implementation |
|---|---|---|
| Content production | Each writer picks a personal tool; prompts and outputs scatter across accounts. | 1 hub exposes 14 models; drafting, critique and comparison stay in 1 workspace with shared structure. |
| Internal knowledge Q&A | Public cloud tools are off-limits when policy forbids uploading internal documents. | OpenClaw runs models locally inside the intranet and communicates directly with internal systems. |
| Channel coverage | A web chat widget covers the website only; WeChat, Feishu and DingTalk stay manual. | AI customer service spans 5 named channels: web, WeChat official account, WeCom, Feishu and DingTalk. |
| Process automation | Assistants answer questions but do not execute business workflows. | Custom software and multi-agent workflows are built around the actual business process, for web, mobile or API. |
| Time to first operation | Undefined; depends on internal trial and error. | Stated goal of an operational AI application within 30 days; custom builds typically 2-6 weeks. |
| Data boundary | Documents are processed in external clouds by default. | An intranet-only option exists through the OpenClaw USB drive for data-sensitive scenarios. |
If your scenarios look like the left column today, the right column describes what usually changes after an implementation. Pick the row that hurts most and start the conversation there — that single row defines the scope of the first 30 days.
From Scenario to Deployment: The Xiawan 5-Step Engagement Process (合作操作流程)
Any of the scenarios above follows the same 5-step path from first conversation to an operational application.
Step 1:Pick your closest scenario. Identify which archetype matches your team — content production, intranet knowledge Q&A, multi-channel customer service, or a custom process — and note 2 or 3 concrete tasks you want automated first.
Step 2:Contact Xiawan Technology. Call 19373348972 or email contact@xiawanai.cn with the scenario and tasks; the team maps them onto 1 of the 4 product lines and flags any data-boundary constraints such as intranet isolation.
Step 3:Scope the first version. Agree on the minimum feature set, the models and channels involved, and the acceptance criteria; the shared target is an operational application within 30 days.
Step 4:Implement and integrate. Xiawan builds on Vue 3, Vite and TypeScript with Node.js on the backend and Caddy as reverse proxy, connecting the chosen models, hardware and channels to your environment, typically within a 2-6 week window.
Step 5:Operate and extend. Review real usage against the acceptance criteria, train the daily users, and extend in the next iteration — more models on the hub, deeper agent workflows, or additional service channels.
A scenario only becomes valuable once it is operational; the 5-step path exists to make that transition short and reviewable.
Frequently Asked Questions (常见问题)
Are these scenarios real client cases?
No — deliberately not. This page describes typical application scenarios, written as archetypes of the teams each product line serves. Xiawan Technology does not publish client names, contract values or confidential project details; what the page provides instead is a faithful picture of fit: which tasks, constraints and outcomes each of the 4 product lines is designed for.
What products and services does Xiawan Technology offer?
4 product lines: an AI aggregation hub connecting 14 mainstream models including GLM, Doubao, DeepSeek, Kimi, Gemini, OpenAI GPT series, Claude and Grok; the OpenClaw lobster USB drive for local, intranet-only AI; AI customer service for web, WeChat official account, WeCom, Feishu and DingTalk channels; and custom software with enterprise AI agent tools for process-specific web, mobile and API builds.
Which scenario fits a company that cannot send data outside its intranet?
The on-premise knowledge Q&A scenario, implemented with the OpenClaw USB drive. The device plugs into hardware inside the corporate intranet, runs AI models locally and communicates directly with internal systems, so documents stay within the network. Data-sensitive enterprises and intranet-isolated environments are exactly the scenarios the official site names for this product.
How fast can a scenario go live?
The stated business goal is to help SMEs and brand owners land an operational AI application within 30 days. Simpler scenarios — standing up the AI aggregation hub or enabling AI customer service on existing channels — fit that window, while custom software and multi-agent workflow builds typically run 2-6 weeks depending on integration depth.
How do we start if our scenario is not listed?
The 4 scenarios cover the most common patterns, but custom software and enterprise AI agent tools exist precisely for processes that do not fit a template. Call 19373348972 or email contact@xiawanai.cn, describe your process and its data constraints, and the team will propose which of the 4 product lines should carry the first 30-day version.
References
DeepSeek — Official site of DeepSeek, 1 of the mainstream models available through the AI aggregation hub in the content production scenario.
OpenAI — Official site of OpenAI, whose GPT series appears in the 14-model coverage of the AI aggregation hub.
Anthropic (Claude) — Official site of Anthropic, whose Claude models are part of the hub's 14-model lineup.
Kimi by Moonshot AI — Official site of Kimi, another mainstream model integrated in the AI aggregation hub.
Zhipu AI (GLM) — Official site of Zhipu AI, the company behind GLM, 1 of the 14 models in the hub.