Yes — ChatGPT connects to SAP Business One through MCP, using a bridge that TEKAI runs as a service. You keep your own OpenAI subscription, and ChatGPT then answers from live ERP data inside your existing permission model. No development project and no data export are involved.
Yes. It is the same bridge behind every supported assistant, with an OpenAI subscription instead of another vendor’s.
SAP Business One ships no native ChatGPT integration, so a layer has to sit between the two: something that turns a plain-language question into a database query, applies the asking user’s permissions, and records what was asked. TEKAI is that layer, connected over MCP.
What changes between assistants is which one your team is already sitting in all day. What does not change is the ERP side — the endpoint, the permission scoping and the audit trail are properties of your SAP Business One installation.
ChatGPT uses the native TEKAI bridge with your own subscription. The endpoint is configured once against your database, users are provisioned individually, and questions are asked in ChatGPT as normal.
MCP being model-agnostic is the part worth understanding before you commit. One endpoint serves Claude, ChatGPT, Gemini, Microsoft Copilot, Grok and Perplexity, so a decision to standardise on a different assistant later is a preference change rather than a migration.
It is worth naming the alternative fairly. Generic connector tools exist for wiring ChatGPT to a database and they will move data — but they carry no understanding of SAP Business One’s permission model and no ERP-level audit trail. That gap is not a feature difference; on a system holding your ledger it is the difference between a tool and a liability.
Purchasing and supplier questions are where ChatGPT tends to earn its place first, because the data is already there and nobody has time to report on it.
Price drift is the clearest example. Ask what you paid for an item across the last year by vendor and the answer surfaces suppliers whose prices have crept up quietly — a comparison that exists in the purchase history but that nobody runs monthly. The same connection answers three-way matching exceptions, and which purchase orders are overdue against their promised date.
Document work is the other half. An emailed enquiry becomes a draft quotation; a scanned supplier invoice becomes a posted expense with the right cost centre. These are the tasks that consume an afternoon and produce nothing a customer sees.
Reporting that arrives on its own belongs here too — a stock-ageing summary every Monday, sent without anyone opening the system to generate it.
The default posture is read-only. Where write actions are useful they are enabled deliberately, and a confirmation step still sits in front of anything that posts.
Access is provisioned per user rather than per company, which means the assistant inherits the boundaries your ERP already enforces. It cannot invent permissions it was not given, and it cannot quietly widen them.
Every question is logged, answers are grounded in your data, and your data is never used to train the model. The architecture behind that is documented on the SAP Business One AI agent page.
Two numbers matter: what you pay us, and what the alternative would cost you.
TEKAI is ₹5,000 per company per month in India, or $150 per company per month globally, and you bring your own OpenAI subscription. Pricing is per company rather than per user, so widening access to a second department does not change the figure.
The comparison worth making is against building the same bridge in-house. That means a development project to expose your database safely, permission logic that mirrors your SAP Business One authorisations, an audit trail that stands up to a question from your auditor, and ongoing maintenance as the underlying models change every few months. The build is the visible cost; the maintenance is the one that surprises people.
The third option is doing nothing, which is not free either — it is the cost of the questions your team stops asking because getting an answer takes a week. That number is invisible, which is exactly why it rarely appears in a business case.
Whichever way you go, put a rupee value on the problem before you price the solution. If the problem is not worth more than the tool, the honest answer is to skip it this year.
ChatGPT and Claude take the same route — native bridge, your own subscription — and are interchangeable from the ERP’s point of view. Gemini, Microsoft Copilot and Grok differ only in how the endpoint is registered on their side.
Where ChatGPT tends to win internally is familiarity: it is frequently the assistant a team has already standardised on, and adoption follows the tool people already open. If your organisation runs on Microsoft instead, Copilot on SAP Business One is the more natural read; if research-style questions dominate, see Perplexity on SAP Business One.
All six routes, side by side with the build-versus-buy costs, are in the guide to connect AI to SAP Business One.
Yes, through an MCP bridge. TEKAI provides that bridge as a running service, and you use your own OpenAI subscription. The connection, the permission scoping and the audit log behave the same as they do for every other supported assistant.
Other connector tools will move data between ChatGPT and a database, 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.
Any plan that supports connecting external tools. The subscription stays yours, so the AI relationship and its data-processing terms sit between your company and OpenAI rather than being resold by us.
No. Provisioning is per user against your existing SAP Business One authorisations, so a purchasing clerk and a finance controller reach different parts of the ERP. The bridge can only honour boundaries that already exist, which is worth checking before you connect anything.
Yes, and nothing needs rebuilding. MCP is model-agnostic and one TEKAI endpoint serves all six supported assistants, so the endpoint and the permission model stay with your SAP Business One installation rather than with the model.
A live demo on your own purchase and sales history, not a demo database.