A company-wide AI workspace for e-commerce companies

Thousands of product descriptions and a queue of customer messages, and a per-seat chatbot bill that grows whether your team uses it or not. Every month you pay a US cloud for licenses, half of them barely touched, while the people who do use it paste your catalog and your customer records into a window you do not control.

There is a way to run a capable AI without any of that. The model lives on a server you own, the cost is yours to set, and the sensitive data never leaves the building. This page shows you how it works for an e-commerce team.

Why a public cloud chatbot sits badly with an online store

An e-commerce business runs on two things outsiders should never see: your product catalog with its margins and supplier notes, and a stream of customer orders, addresses, and complaints. A public chatbot in a US cloud is the wrong place for either. Every prompt your staff send leaves your network and lands on a server governed by someone else, under terms you did not write.

Banning AI does not fix this. Your buyers are already drafting descriptions in it, your support agents are already asking it how to answer an angry email. The tool is too useful to refuse, so a ban just pushes it into private accounts where you have no view at all. That is shadow AI, and it is worse than the problem you started with: tools scattered across the team, customer data going out, and no central record of any of it.

Run the model on your own hardware

With kral the whole platform installs on a server you own. You can go a step further and add a local model that runs on your own hardware, so a prompt about a customer record or an order history goes to your machine and stops there. No external API sits in that path. The question and the answer both stay inside your network.

Most teams run a mix. A cloud model from the major providers handles general work where speed and breadth matter, marketing copy, brainstorming, rewriting a listing. A local model handles the sensitive cases where the data must not leave. You decide per task which one is in play, and the line between them is yours to draw.

A full workspace, not a chat box

Your team can build their own assistants in minutes, with no code. One buyer can stand up an assistant that drafts product descriptions at scale, fed your format and tone, turning a spreadsheet of SKUs into copy in an afternoon. A support lead can build an assistant that drafts replies in your voice, so agents start from a solid answer instead of a blank field. Save those as reusable routines and nobody on the team has to rebuild the same setup twice.

The rest comes built in. Drop in a document, a returns policy or a supplier sheet, and ask questions about it. Pull a current answer from the web with citations when you need something fresh. Switch between the leading models in one click when one suits the job better than another.

Connect your own systems

kral supports MCP, the open standard for connecting tools and data to an AI. That means the assistant can work with your own templates and internal knowledge through a connector you control, instead of guessing from whatever it found on the open web. It answers from your product data and your documented process, and your systems stay yours. Nothing about that connection routes through a third party you did not choose.

You run it and you see everything

Because it is your platform, you hold the controls. Manage who is in and which models each person can reach. Set a spending limit per person so cost is a number you choose, not a surprise on an invoice. Watch real usage on a dashboard and see exactly where the budget goes. Sign-on runs through your single sign-on, the platform installs on Windows Server behind IIS, it sits inside your network behind your firewall, and it wears your branding so it feels like an in-house tool. If you want the wider picture, here is more on running a company-wide AI you host yourself.

We help you put it in place

You do not have to figure this out alone. We set kral up with you, connect it to the systems your team already uses, and advise on rolling AI across the company without the data leaving your side. Implementation consulting is part of what we offer, so the platform is working for your buyers and your support desk from the start, not sitting half-configured.

Capable AI on a server you own, cost you set, catalog and customer data on your side. That is the trade you have been waiting for, and it is ready now.

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