服务 / 系统集成
Business and System Integration in Malaysia
We are the IT system integrator Malaysian and Singaporean businesses call when their systems have stopped talking to each other. Business integration is unglamorous work — connecting ERP, CRM, e-commerce, warehouse and accounting systems so data moves between them without anyone re-keying it — and it is what decides whether the rest of your technology spend pays off. Increasingly it also means connecting AI to those same systems, through the Model Context Protocol.

What we connect
我们提供的集成服务
APIs, data pipelines, and enterprise applications — joined into one coherent system.
API开发与管理
定制API设计、开发和管理,以实现不同应用程序和服务之间的顺畅通信。
数据整合
用于在不同系统之间提取、转换和加载数据,同时保持数据完整性的综合解决方案。
企业应用集成
连接和集成关键业务应用程序,例如 CRM、ERP、HRM 和财务系统,以简化运营。
云端整合
将本地系统与云服务和 SaaS 应用程序无缝连接,以实现混合基础设施优化。
AI 集成
将 AI 连接到您已在使用的系统
最新的集成难题不是连接两个数据库,而是让 AI 助手安全地读取库存、开立采购单,或就发票问题回复客户。
Model Context Protocol 对您的业务意味着什么
MCP 是 Claude 的开发者 Anthropic 发布的开放标准。它的意义在商业层面而非技术层面,原因有三:
- 集成工作不再是一次性投入。 在 MCP 之前,每一个 AI 与系统之间的连接都是定制的,任何一方变动都要重写。按标准构建的连接器只需构建一次,并能持续运作。
- 它降低而非增加供应商锁定。 连接到您 ERP 的连接器可与任何采用同一标准的 AI 协作。日后即使更换模型或供应商,这套集成依然属于您。
- 权限保留在您的系统中,而不在 AI 手上。 AI 获得的访问权限完全等同于您现有角色所允许的范围。销售人员的助手只能看到该销售人员本就能看到的内容——这正是它在 PDPA 与 PDPC 下可被审查的原因。
面向您系统的 MCP 连接器
我们构建并运维 Claude 与您的 ERP、CRM、WhatsApp、仓储或会计系统之间的连接器——包括财务团队一定会索取的审计记录。
范围明确、可审查的访问权限
只需读取时便只给读取权限。仅在有人工审批的环节开放写入权限。每次调用都有日志,您随时能说清 AI 做了什么、在什么时候做的。
上线前的评估
接触真实业务系统的 AI 必须用您的真实数据来测试,而不是演示数据。在它接触客户或账簿之前,我们会先做量化评估。
诚实的范围界定
很多流程根本不需要 AI——定时数据同步更便宜也更可靠。若答案是这个,我们会直说。
想知道这是否适用于您的情况?我们写了完整版: AI 究竟如何连接您已在使用的系统—— MCP 在商业层面意味着什么、这项工作的成本,以及什么情况下 AI 并不是答案。
How we integrate
技术能力
Proven technologies and architecture patterns, matched to the way your systems need to talk.
集成技术
我们的集成专家利用广泛的技术和方法,包括:
- RESTful 和 GraphQL API: 现代、可扩展的 API 架构,可实现灵活集成
- ESB(企业服务总线): 连接多个应用程序的集中集成平台
- 中间件解决方案: 消息队列、事件处理和数据转换工具
- ETL/ELT 流程: 强大的数据提取、转换和加载管道
- iPaaS(集成平台即服务): 基于云的集成,用于连接云和本地应用程序
- WebHook 和回调: 用于实时更新的事件驱动集成模式
集成模式和架构
我们实施根据您的具体要求量身定制的行业标准集成模式:
您的系统
同步模式
- 请求-响应
- 远程过程调用 (RPC)
- 面向服务的架构(SOA)
异步模式
- 发布-订阅
- 事件驱动架构
- 消息队列
现代集成方法
- 微服务架构
- API优先设计
- 容器化和编排
- 无服务器集成
AI 集成模式
- Model Context Protocol (MCP) 服务器
- 工具调用与函数调用
- 基于您文档的检索增强生成(RAG)
- 人工审批环节
- 范围受限的服务账户与审计日志
为何重要
商业效益
What connected systems unlock — visibility, speed, and lower operating cost.
增强的数据可见性
获得所有系统中业务数据的 360 度视图,从而实现更好的决策和洞察。
提高运营效率
消除手动数据输入并减少数据孤岛,实现跨不同应用程序和部门的工作流程自动化。
加速创新
快速将新的应用程序和技术引入您的生态系统,而无需中断现有运营。
降低成本
通过连接和利用现有系统而不是替换它们来最大化您的技术投资。
How we deliver
我们的集成方法
A five-step path from assessment to supported, production-grade integrations.
- 1
发现与评估
我们彻底分析您现有的系统、数据流和业务流程,以确定集成需求和机会。
- 2
整合策略
我们设计了一个与您的业务目标相一致的全面集成架构,同时考虑了当前需求和未来的可扩展性。
- 3
实施
我们的开发团队使用最适合您的特定场景的技术和方法构建集成解决方案。
- 4
测试与验证
我们进行彻底的测试,包括集成测试、性能测试和数据验证,以确保一切顺利进行。
- 5
部署与支持
我们管理部署流程并提供持续监控、维护和支持,以确保您的集成系统继续以最佳状态运行。
Proof
成功案例
Real integrations, measured results — for Malaysian education and construction businesses.
Case 01 · Education logistics
教育物流一体化
Faster order processing
65%
Inventory accuracy
99.9%
We connected a leading education company's NetSuite ERP with their warehouse management system — automating inventory tracking, order fulfillment, and distribution with real-time stock visibility and automated reordering across multiple warehouses.
Case 02 · Construction
建筑公司AI集成
Less manual entry
85%
Time reduction
70%
Extraction accuracy
98%
We linked a construction firm's accounting system to OCR AI that reads invoices, receipts, and purchase orders — extracting and categorizing financial data, matching documents to projects, and updating the books automatically for faster reconciliation.
常问问题
常见问题
Common questions about system integration for Malaysian businesses.
MCP is an open standard, published by Anthropic, that defines how an AI assistant connects to the software a business already runs — ERP, CRM, e-commerce, accounting. The business case is that it replaces bespoke, brittle connections with one agreed shape: a connector built to the standard keeps working when the AI changes, so the integration you paid for remains yours. It also keeps permissions in your systems rather than in the AI, which is what makes an AI's access to customer data reviewable under PDPA in Malaysia and PDPC in Singapore.
Yes, and this is now ordinary integration work rather than research. We connect Claude to systems including SQL Account, AutoCount, Odoo, NetSuite, Microsoft Dynamics and custom in-house applications, so staff can ask questions of live data or trigger an action that a human then approves. The honest caveat: read-only access is quick to justify, while write access to a ledger needs approval steps, logging and testing against your real data before it goes live. That governance work is usually the larger part of the project.
Often no. If the requirement is moving the same fields between two systems on a schedule, a conventional API integration is cheaper, faster and more reliable than anything involving a model — and it will not surprise you. AI earns its place when the step in the middle needs judgement: reading an unstructured supplier invoice, deciding which purchase order it matches, or noticing that something does not reconcile and escalating instead of guessing. We will tell you which of the two you actually have.
System integration projects in Malaysia typically range from RM 15,000 for a single point-to-point integration to RM 150,000+ for enterprise-wide integration across multiple systems. 安克极速 scopes every project after a free assessment, and we offer phased delivery so you can start with the highest-impact connection first.
A simple API integration between two systems takes 3-6 weeks. Mid-sized projects connecting ERP, CRM, and e-commerce platforms typically take 2-4 months, while complex enterprise integrations with data migration can take 4-6 months. We deliver in increments, so you see working integrations early.
We integrate NetSuite, SAP, Microsoft Dynamics, Odoo, SQL Account, AutoCount, and other systems popular with Malaysian businesses — plus CRMs like Salesforce and HubSpot, e-commerce platforms like Shopify and Shopee, warehouse management systems, and custom in-house applications via APIs.
We follow security best practices including encrypted data transfer over TLS, token-based API authentication, least-privilege access controls, and audit logging. For sensitive workloads we can deploy integration middleware on your own infrastructure so data never leaves your environment, supporting PDPA compliance.
Yes. We provide monitoring, error alerting, and maintenance plans to keep integrations healthy as your systems evolve. When a connected platform changes its API or you add new systems, we update the integration — with SLAs available for business-critical data flows.
