A confidential AI workspace for audit firms

A client opens their entire books to you on the understanding it goes no further, and a public chatbot would forward it to a cloud you have no contract with. That is the quiet trade your staff make every time they paste a trial balance, a sample of journal entries, or a draft finding into a free tool to save twenty minutes.

The work product never comes back to your side. It sits on someone else's servers, under someone else's terms, outside the engagement. There is a way to give your team a capable AI and keep the client's books and your findings where they belong: on your own machine.

Why a public cloud chatbot clashes with audit work

An audit runs on trust. The client hands over numbers that are not public and sometimes not flattering, and they expect those numbers to stay between you and them. A public chatbot breaks that the moment text is pasted in, because the prompt travels to a vendor's cloud and the contents are out of your control. Findings are worse, since a draft memo can name names and describe weaknesses before anyone has signed off.

Banning the tools does not hold. Your people already use AI on their phones and home machines, and a policy that says no just pushes the use somewhere you cannot see. The better answer is to give them something good enough that they stop reaching for the public option, and to put it somewhere the data cannot leave.

Run the model in-house

With kral the platform runs on your own server. You can add a local model on your own hardware, so a prompt about a client's books goes to your machine and stops there, with no external API in the path. The text never crosses your firewall. Most firms run a mix: a strong cloud model for general drafting and research where the content is not sensitive, and a local model for the client work that must not leave the building. The person doing the work picks the right one, and the boundary is set by you, not by a vendor's privacy page.

A full workspace, not a chat box

Your team can build their own assistants in minutes with no code. One associate sets up an assistant that drafts findings memos in your house format, so a rough note becomes a clean memo that already reads like your firm. Another builds an assistant that summarizes a sample of transactions and flags what looks unusual, ready for a human to check. Useful setups get saved as reusable routines, so nobody on the next engagement rebuilds the same thing from scratch. You can drop in a document and ask questions about it, pull a current cited answer from the web when you need outside context, and switch between the leading models in one click when one handles a task better than another.

Connect your own systems

kral supports MCP, the open standard for connecting tools and data to an AI. Through a connector you control, the assistant can work with your own templates and internal knowledge instead of guessing from the open web. It reads from the sources you point it at, in the format your firm actually uses. Your systems stay yours, and nothing is copied off to a third party to make the connection work.

You run it and you see everything

You manage who is in and which models each person can use. You set a spending limit per person, so costs never run away, and you watch real usage on a dashboard. Sign-in goes through your single sign-on. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and wears your own branding. If you want the wider picture of how this fits a firm of any size, read about company-wide AI you host yourself.

We help you put it in place

You do not have to stand this up alone. We set kral up with you, connect it to your systems, and advise on rolling AI out across the firm without the data leaving your side. Implementation consulting is part of what we offer, so the move from a free tool to a controlled one is something we do together, not a manual we hand you.

Your clients trust you with what they will not show anyone else. Give your team a real AI workspace and keep that trust on your own server, where it stays under your control.

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