Your clients share their strategy, their numbers and their problems on the understanding that it stays between you. The moment a slide or a data-room file is pasted into a public AI chatbot, that understanding breaks: it is on a vendor's cloud you have no contract with.

Your firm can still use AI across the whole engagement, research, drafting, analysis, without client material leaving your side. It comes down to where the model runs and who controls the platform around it.

Client work is built on confidentiality

A public chatbot sends everything you type to a vendor you have no agreement with. For a consultancy that is the one thing you cannot let happen, because clients hand you their most sensitive material precisely because they trust you to hold it close.

And a firm-wide ban on AI rarely survives contact with a deadline. Consultants use the fastest tool unless there is a safe one in front of them.

Run the model on your own server

With kral, the whole platform runs on your own server. Add a local model on your own hardware and a prompt about a client's data goes to your machine and stops there. No external API in the path, nothing leaving the firm. Most firms mix it: a cloud model for general work, a local model for anything tied to a named client.

A full workspace, not a chat box

Your team can build their own assistants without code: one that drafts a deck outline from a brief, one that turns a batch of interviews into a clean set of findings, one that summarizes a data room into a short note. Save those as routines the whole firm reuses. Drop in a document and ask about it, pull a current cited answer from the web, and switch between the leading models in one click. One place, one login.

Connect your own files and tools

kral supports MCP, the open standard for connecting tools and data to an AI. The assistant can work with your own templates and internal knowledge through a connector you control, instead of guessing from the open web. Your files stay in your systems.

You run it, and you see the usage

Set who uses which models and a spending cap per person, so cost stays predictable and nothing runs up quietly. Watch real usage on a dashboard, and let everyone sign in once through single sign-on. It installs on Windows Server behind IIS, the same approach as a company-wide AI you host yourself, sits inside your network behind your firewall, and carries your firm's branding.

And we help you put it in place

You do not have to set this up alone. We install kral with you, connect it to your systems and advise on rolling AI out across the firm without client data leaving your side. If you want a partner for the implementation, that is what we do.

Give your people a capable AI workspace and keep client work confidential. See it running, then let us help you put it on your own server.

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