Yes — Claude connects to SAP Business One through MCP, the Model Context Protocol, using a bridge that TEKAI provides as a running service. You bring your own Anthropic subscription, and Claude then answers questions against live ERP data under your existing permission model. It is configuration rather than a development project.
Yes, and it is the connection TEKAI was built against first. Claude has been running on SAP Business One data in production since TEKAI launched.
The link is made with MCP — an open protocol for connecting an assistant to a system it was not built for. SAP Business One exposes no native Claude integration, so something has to sit between the ERP and the model, translate a plain-language question into a query the database understands, and enforce who is allowed to ask it. That is what the bridge does.
This is also the architecture SAP itself standardised on. Since the Anthropic partnership announced at SAP Sapphire in May 2026, Claude is the primary reasoning model behind Joule and the SAP Business AI Platform, connected through MCP — the same protocol TEKAI has used in production since launch. The difference is timing and scope: that arrives for SAP Business One customers through the platform as SAP rolls it out, while this runs on your database now.
Claude uses the native TEKAI bridge with your own Anthropic subscription. The endpoint is added once, your users are provisioned against it, and from then on they ask questions inside Claude exactly as they already do.
MCP is model-agnostic, and that matters more than it sounds. One TEKAI endpoint serves all six supported assistants — Claude, ChatGPT, Gemini, Microsoft Copilot, Grok, Perplexity — so standardising on a different assistant in a year does not mean rebuilding the connection. The bridge belongs to your SAP Business One installation, not to whichever model happens to be asking.
Because you hold the Anthropic subscription directly, the AI relationship and the data-processing agreement behind it stay between you and Anthropic. TEKROI does not resell it or sit inside it.
The useful test is whether it answers questions you currently cannot answer without building a report first.
Receivables is where most teams start, because the question is easy to phrase and the answer is immediately actionable: which customers are over their credit limit with open orders, and what is the ageing behind each one. Claude reads the invoices, the payment history and the credit terms together, which is exactly the join a spreadsheet makes painful.
Beyond that, the same connection handles cost and margin questions across companies, document creation such as turning an emailed enquiry into a quotation, and scheduled reporting that arrives without anyone running it. What the assistant is good at is the question you did not anticipate — the follow-up, not the dashboard.
The steps that take time are two and three, and neither is technical. Everything else is configuration.
Read-only by default. Write actions are added deliberately where you want them, and still ask for confirmation before anything posts to SAP Business One.
Provisioning is per user, so the stores head and the finance controller reach different parts of the ERP — the bridge can only honour permission boundaries you already have, which is a good reason to fix them first if they are loose. Every question is logged for audit.
Answers are grounded in your data and your data is never used to train the model. Full product detail is on the SAP Business One AI agent page.
Worth knowing before the first demo, because the failure modes are predictable.
It will not fix bad master data. If the same customer exists three times under slightly different names, the assistant will faithfully report three customers — and it will do so confidently, which is worse than an obvious error. Master-data hygiene is a prerequisite, not a side effect.
It will not answer a question that is not really about data. “Why are margins down?” has no answer in the database; “which items sold below cost last quarter, by customer” does. The skill worth building in your team is turning the first kind of question into the second.
And it is not a substitute for a controller. The assistant is quick and occasionally wrong, which is a perfectly usable combination when a person checks anything consequential — and a poor one when nobody does. Keeping write actions off by default is the structural version of that caution.
None of this is specific to Claude. It is what putting a language model in front of an ERP looks like, and a vendor who does not raise it is either inexperienced or selling.
Claude and ChatGPT both use the native bridge with your own subscription, and behave identically as far as SAP Business One is concerned. Gemini, Microsoft Copilot and Grok each connect through their own app or connector framework, which changes the setup step and nothing else.
So the honest answer is that the assistant matters less than the bridge underneath it. Pick the one your team already has open all day. If that is a different model, start with ChatGPT on SAP Business One or Perplexity on SAP Business One — the capability is the same.
The full comparison across all six, including the build-versus-buy arithmetic, is in the guide to connect AI to SAP Business One.
Yes, through an MCP connection provided by TEKAI. Claude queries live SAP Business One data under your own permission model — read-only by default, scoped per user, with every question logged. Your data grounds the answers and is never used to train the model.
Yes. You bring your own Claude subscription, which keeps the AI relationship and the data-processing agreement between you and Anthropic. TEKROI does not resell it or sit inside it. TEKAI is ₹5,000 per company per month in India, or $150 globally.
Read-only is the default. Write actions are added deliberately where you want them, and still ask for confirmation before anything posts. That ordering is on purpose: a wrong answer costs you ten minutes, a wrong posting costs you a correction.
It is the assistant TEKAI was built against first, and it is now the primary reasoning model behind SAP’s own Joule. In practice the more useful question is which assistant your team already lives in, because MCP is model-agnostic and one TEKAI endpoint serves all six.
The connection itself is configuration rather than a project. What takes time is deciding who sees what, which is a conversation about your existing SAP Business One authorisations rather than about AI.
Bring the question your current reports cannot answer. Thirty minutes, live.