Natural-language ERP assistant built on Netorigo
Nortinia AI Assistant is an AI-first interface that connects to the entire Netorigo ecosystem. Thanks to its multi-agent architecture it works together with every module: it retrieves invoices, opens contracts, checks warehouse stock, and — where needed — performs the actions on your behalf.
With interruptible workflows, real-time responses and native integration with external tools, it does not just deliver information: it actually takes action. That makes it much more than a query surface — it is a truly active digital assistant.
On top of that, Nortinia AI Assistant is not limited to Netorigo modules: it can be embedded into virtually any surface — your own ERP, a customer portal, your internal applications. And because the platform automatically picks the best and most cost-effective model for every single task — video generation, image generation, text analysis or reports — it is noticeably cheaper and more efficient than wiring a single LLM directly into your product.
Visitors type or speak via the mic — Nortinia AI doesn't just answer, it live-scrolls, animates and highlights the relevant part of the website. "Where can I see pricing?" → it auto-scrolls there and circles it. Your visitor literally talks to your website.
During the call, in the browser session linked to the caller ID or sent via SMS, the AI shows the customer visually what you are discussing live: product page, quote, document, contract. They hear it on the phone AND see it on the website at the same time.
Same experience on the admin / ERP interface: not just answers — navigates to the relevant field or report, highlights it, walks the manager step-by-step through the task.
Each morning the CFO types one question and gets yesterday’s revenue, the top-10 receivables, and overdue invoices — pulled from every module into a single view.
A salesperson asks from their phone: “Which customers have contracts expiring this month, and what did they spend last year?” — the assistant answers in 3 seconds.
Multiple providers are supported (OpenAI, Anthropic, Google, Mistral, Azure OpenAI). Primary and fallback providers can be set per tenant.
Only the context strictly needed is sent, and it can be disabled at the tenant level. On-prem LLMs (Ollama, vLLM) are supported when zero egress is required.
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