Six assistants connect to live SAP Business One data through one bridge: Claude, ChatGPT, Gemini, Microsoft Copilot, Grok, and Perplexity. You keep the AI subscription you already pay for. The ERP is not reimplemented, and the connection is usually working the same day.
New to the subject? Start with the complete guide to AI in SAP Business One, which covers what AI can and cannot do on an ERP before you connect anything.
Through a protocol, not an export. The Model Context Protocol — MCP — is an open standard that lets an AI assistant query a data source directly, with permissions attached, at the moment a question is asked.
For a finance or IT lead, the practical shape is this: your SAP Business One database gets a permission-scoped endpoint. When someone asks a question, the assistant requests only the data needed to answer it, reads what that user is allowed to read, and answers. Nothing is copied out on a schedule, and no separate reporting database is built.
TEKAI is the MCP bridge for SAP Business One. It works on SQL Server and on SAP HANA, cloud or on-premise, against the installation you already run — no reimplementation, no data migration, and typically live within a day. SAP lists TEKAI in its AI Partner Innovations playbook as one of four generative AI solutions for SAP Business One worldwide (source: SAP, PDF).
It is worth saying what this is not, because two other things get called the same thing. It is not a nightly export into a reporting database — there is no second copy to keep in sync and no lag between the answer and the ledger. And it is not a chatbot trained on your documents; the model has no memory of your business between questions, which is why the answer changes the moment a transaction posts.
The one prerequisite worth checking early is your own permission structure. The bridge can only honour the boundaries you already have: if everyone in SAP Business One can see everything today, the AI will too, until somebody decides otherwise. That decision is a business conversation, and it is the part of setup worth spending the time on.
What follows is the same bridge, assistant by assistant. The mechanism differs slightly for each; the permissions, logging and data handling do not.
Claude is the native path, and the one TEKAI was built against first. You bring your own Anthropic subscription, which means the AI relationship — and the data-processing agreement behind it — stays between you and Anthropic. TEKROI does not resell it or sit inside it.
Access is read-only by default. Write actions, where you want them, are added deliberately 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, and every question is logged for audit.
Full product detail is on the SAP Business One AI agent page.
Same bridge, an OpenAI subscription instead. The connection, the permission scoping and the audit log behave identically — what changes is which assistant your team is already sitting in all day.
Generic connector tools do exist for wiring ChatGPT to a database, and they are worth naming so the comparison is fair: they will move data, but they carry no understanding of SAP Business One's permission model and no ERP-level audit trail. On a system holding your ledger and your customer prices, that difference is the whole point.
Tested and working with TEKAI as of August 2026.
Gemini connects through a custom Gemini app: TEKAI is added once via Gemini's app framework (Spark), and your approved users then ask their SAP Business One questions directly inside Gemini.
Permissions, logging and data handling are the same as every other assistant on this page: read-only by default, scoped per user, grounded in your data and never trained on it.
Tested and working with TEKAI as of August 2026.
Microsoft Copilot connects through Copilot Studio: an agent is created with TEKAI added under Tools as an MCP connection, giving Copilot users live, permissioned access to SAP Business One data.
Copilot Studio connector routes also exist, and a development team can build against them directly. That is a build project with its own maintenance line; TEKAI is the same capability as a running service, which is the trade most SMEs are actually choosing between.
Tested and working with TEKAI as of August 2026.
Grok connects through its Connectors: TEKAI is added under Skills & Connectors, and Grok then answers from live SAP Business One data like any other approved interface.
As with the others, the bridge sits between the ERP and the model — so standardising on a different assistant later does not mean rebuilding the connection.
Supported since TEKAI launched, and the assistant a lot of teams tried first. Same bridge, same controls: permission-scoped endpoint, read-only by default, per-user provisioning, every question logged.
There is nothing to migrate when moving between assistants. The endpoint and the permission model belong to your SAP Business One installation, not to whichever model is asking.
The short answer: your data grounds the answer and is never trained on. The longer answer is four specific controls, because "secure" on its own is not a claim anyone should accept.
The full architecture and control set are published on the TEKAI security page.
Questions people actually ask, in the words they actually use. None of these needs a report to be built first.
The dead-stock case is the one that tends to land in a demo: asking which stock has not moved surfaced ₹10.45 crore of dead stock in TEKAI's recorded demo — a live demo figure, not a modelled one. The question took a sentence; finding the same answer by hand takes a stock-ageing report somebody has to write first.
A good first question has three properties: you already know roughly what the answer should be, it currently takes somebody a day to produce, and being wrong about it costs money. Receivables ageing, dead stock and open orders past their promised date all qualify. Vague questions — "how is the business doing" — produce vague answers, and tell you nothing about whether the connection is worth keeping.
Answers can also be scheduled rather than asked. The daily receivables digest that lands on WhatsApp before the morning meeting is the same query, run on a timer and delivered where management already reads — which for most teams gets used far more than a dashboard nobody opens.
You can build this yourself. Whether you should comes down to volume, uniqueness and who maintains it in year two.
| Route | Build cost | Running cost |
|---|---|---|
| Custom AI agent build | $35,000–60,000 (₹30–50 lakh) | $500–700 (₹42,000–58,000) per month |
| TEKAI | No build | ₹5,000 per company / month India · $150 global |
The maintenance line is the one most custom proposals leave out. The underlying models change every few months, and somebody has to re-test the agent against each change — that cost does not appear in the build quote but does appear in year two.
Custom still wins in three situations. Very high transaction volume, where per-question economics beat a flat subscription. Genuinely unique processes that no product models. And workflows that are themselves a competitive advantage, where you would rather own the logic than rent it. Outside those, buying is usually the cheaper answer by a wide margin.
Yes. TEKAI provides the connection layer — an MCP bridge that exposes permitted SAP Business One data to the assistant at question time. You bring your own OpenAI subscription. There is no reimplementation of SAP Business One, and no copy of your database is sent anywhere.
Yes — all of them. TEKAI is model-agnostic and works with Claude, ChatGPT, Gemini, Microsoft Copilot, Grok, and Perplexity on the AI subscription you already pay for. The bridge sits between the ERP and the model, so changing assistant later does not mean rebuilding the connection.
MCP is the Model Context Protocol, an open standard for exposing a data source to an AI assistant in a structured, permissioned way. TEKAI implements it for SAP Business One: your company database gets a permission-scoped endpoint that MCP-capable assistants can query, rather than holding a copy of your data.
No. TEKAI grounds the model in your data at question time and nothing is trained on it. Only the data needed to answer the question asked reaches the model, servers are isolated per client, and access is provisioned per user. The controls are documented on the TEKAI security page.
Yes, both, and on cloud or on-premise installations. The database your SAP Business One runs on affects your ERP licensing and hardware, not whether the AI layer can read it. No migration between databases is needed before connecting.
The technical connection takes under an hour on an existing SAP Business One installation. Full company onboarding — permissions scoped, users enabled, first questions answered — is typically done within a day. There is no data migration and no reimplementation.
TEKAI is ₹5,000 per company per month in India and $150 per company per month globally, priced per company rather than per user. You bring your own AI subscription, billed by whoever you already pay for it. This is TEKROI’s published pricing, dated 2026.
No. TEKAI connects to the installation you already run, and nothing in the SAP Business One configuration itself is altered. There is no reimplementation, no data migration and no version upgrade required as a precondition, so there is no regression risk to the ERP.
The fastest way to judge this is to ask it something your current reports answer slowly. Book a demo and bring that question — or call +91 9700 363636.
Bring your SAP Business One version, your database and the assistant your team lives in. The connection is usually working the same day.