Connect Claude API to your ERP / Intranet / Helpdesk / Document Management + configure SSO/SAML + design RAG & workflow + establish data governance aligned with PDPA — by a team that has implemented enterprise systems for 24 years
Pick one or combine — we recommend starting with a small pilot scope, then expanding
Connect Claude to ERP (including Saeree ERP), CRM, Accounting, HR via Claude API + custom workflows aligned with your business process
Build an MCP Server so Claude can query and act on your internal systems directly — ERP, procurement, inventory, HR, document management — under each user's existing permissions, with no data copied outside the system
Design RAG architecture so Claude can answer questions about your organization-specific knowledge — SOPs, HR policy, product catalog — without fine-tuning
Configure Claude Enterprise to integrate with your identity provider — Azure AD / Okta / Google Workspace + SCIM auto-provisioning
Establish data governance aligned with Thailand's PDPA Section 40 + Anthropic DPA + SCC + AWS Bedrock APAC per regulator requirements
A monthly or annual care contract after go-live — because an integration on day one is not the same as the same integration six months later: processes change, new models ship, and spend needs controlling
Not every task deserves AI. The ones that pay off are the tasks where someone opens five screens to answer one question, or where the answer already sits in an internal document nobody can find
Search regulations and TOR conditions · check document completeness before submission · compare multiple vendor quotations side by side in one table
Ask about stock balances and issue history in plain language instead of paging through reports · surface mismatched items before a physical count
Summarize remaining budget by project and funding source · flag unusual entries for review before period close, with people still making the call
Answer questions on leave rules, benefits, and internal procedures from your own documents — not from the model's general knowledge
Draft letters in your organization's format · summarize lengthy submissions · find prior cases related to the one on your desk
Answer product usage questions from manuals and past cases · verify system business rules — this is the category our own support team uses daily
The first question from IT and legal in almost every organization is whether data leaves the country. The answer depends on the route you pick, and that choice belongs at design time, not at go-live
| Route | Where inference runs | What gets stored | Fits |
|---|---|---|---|
| Claude API direct from Anthropic |
Routes globally by default · can be pinned to US-only infrastructure via the inference_geo parameter, billed at 1.1x the standard rate |
Conversation content is not retained by default · a Zero Data Retention arrangement can be requested from Anthropic · workspace-level storage is currently US-only | Organizations comfortable with offshore processing that want new models and features the day they ship |
| Amazon Bedrock Thailand region (ap-southeast-7) |
Callable from the Thailand region since February 2026 · but via Global cross-Region inference, so processing may run in other AWS regions worldwide | Data at rest — logs, knowledge bases, stored configuration — stays in the source region · AWS, not Anthropic, is the contractual data processor | Organizations already on AWS, or bound by a requirement that stored data remain in-country |
| MCP Server + existing on-premise systems |
Your ERP and databases stay in-house; Claude never connects to the database directly, only through the tools you expose | The model sees only what a tool returns under that specific user's permissions — never the whole database · every call is logged for audit | Organizations that must keep the data surface as narrow as possible and be able to say who asked what, when |
No route keeps data entirely inside your organization. Claude is a cloud service; whichever path you take, the question and the material used to answer it are sent to the model. What you can genuinely design is what leaves, where and how long it is stored, and how far back you can audit
That is a different story from Saeree ERP, which runs on your own servers with data that never leaves. The two cannot be described in the same sentence — anyone claiming an AI integration keeps your data 100% in-house is leaving something out
Following the ISO/IEC 29110 standard that Grand Linux has been certified for 10 consecutive years — transparent, with documentation delivered to the customer at every phase
Understand use case, existing systems, constraints
Architecture + data flow + security design
Integration code + test + UAT
Train users + admins, deliver manuals
Production cut-over + monitoring + tuning
Because Claude Integration isn't just "calling an API" — you need to understand business processes, compliance, and change management
Eligible for government procurement contracts · renewed continuously 3 times (2018, 2021, 2024)
4 consecutive certificates (2015–2027) · Project Management + Software Implementation
Deep understanding of Thai business workflows — government, state enterprise, private sector
Deep understanding of business systems — not a new AI reseller
The questions that come up in every Discovery — answered from verifiable facts as of September 2026
On commercial plans — Team, Enterprise, and the API — the default is that your data is not used for training, per Anthropic's published terms
One exception worth telling your users about: if someone gives thumbs-up or thumbs-down feedback on an answer, that entire conversation can be retained for up to five years and used to improve the model. Put this in your internal usage policy from day one
On consumer plans (Free / Pro / Max) the setting sits with each individual user and cannot be enforced centrally, which is why those plans do not belong anywhere near real organizational data
No. The Claude model itself is not available to install on your own servers — every route calls a cloud service
What can stay in-house is the MCP Server, the business systems, the databases, and the whole permission layer, which is what lets you control exactly which data leaves — see the route comparison above
Yes — either an API key for integration work, or Team / Enterprise seats for general users across the organization
We can handle procurement: Thai-language quotation, PO, tax invoice, and withholding tax under Thai regulations — see Claude procurement · Or, if you already hold the licenses, we can do the integration work alone
Yes, provided the system offers a way in — a REST API, a readable database, or at minimum an export file that can be produced consistently
What we cannot answer in advance is how deep a given system will let us go; that needs a look at the real thing during Discovery. If it turns out not to be worth doing, we say so then rather than carrying it through to a quotation
There is no off-the-shelf rate — scopes differ too much. But the cost always breaks into three parts, and we itemize all three before anything is signed
(1) License or API usage fees, which belong to Anthropic and vary with actual consumption · (2) the integration work, quoted as a project against the agreed scope · (3) ongoing care after go-live, billed monthly or annually
Better to design for it than to catch it later — answers must cite the source document or record, every data call is logged for audit, and anything hard to reverse is restricted to read-only
Work that writes into the real system always goes through human approval. We do not design AI that writes into an ERP unsupervised
We recommend exactly that — a pilot on one measurable use case in a single department, then expand
You get to see whether people genuinely change how they work before committing a larger budget. Change management usually decides the outcome more than the technology does
It can, and we will tell you upfront what happens next. The integration you ship today is not the same thing six months later — internal processes change, new models ship and behave differently, and growing usage shifts the cost profile
With nobody watching, what we typically see is a system that still runs while answer quality drifts quietly, until people stop using it on their own
Book a Discovery session with the Grand Linux team — free, no obligation · we deliver scope + budget + timeline within a week
