A confidential AI workspace for immigration advisors

Your clients hand you their entire personal history, often the most sensitive years of their lives, and a public chatbot would copy it to a cloud abroad. The names, the dates, the reasons someone had to leave home, all of it pasted into a box and gone the moment the cursor moves.

You can still give your advisors a capable AI for drafting, summaries and case work without that history ever leaving your office. It comes down to where the model runs and who controls the platform around it. Here is how to keep both on your side.

Why a public cloud chatbot clashes with immigration advisors

A public AI chatbot sends every word someone types to a vendor's servers, usually in a US data centre, under terms you never signed and cannot see into. For most offices that is a background worry. For an immigration practice it sits against the trust a client places in you when they describe their past in detail. You cannot promise a file stays private and then route it through a service you have no agreement with.

Telling staff not to use AI does not solve it. Your advisors already use it on their own phones, between calls, to draft a tricky letter faster. The question was never whether they use it. It is whose machine the client's story lands on.

Run the model in-house

With kral, the whole platform runs on your own server. You can add a local model on your own hardware, so a prompt about a named client goes to your machine and stops there. No external API anywhere in the path, nothing leaving the building. Most practices mix the two: a strong cloud model for general work where no personal history is involved, and a local model for the sensitive cases. The advisor picks, and the line between the two stays clear.

A full workspace, not a chat box

It is more than a place to type questions. Your team can build their own assistants in minutes, no code. One advisor sets up an assistant that drafts client letters in plain language, so a worried family gets something they can actually read. Another builds an assistant that turns a case file into a checklist, so nothing in a long matter slips. Save those setups as reusable routines, and nobody rebuilds the same thing twice.

Drop a document in and ask questions about it. Pull a current, cited answer from the web when a rule needs checking. Switch between the leading models in one click when one handles a task better than another. The whole toolkit sits in one place, behind your login.

Connect your own systems

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 switch on and control, instead of guessing from the open web. You decide what it can reach. Your systems stay yours.

You run it, and you see everything

Manage who is in and which models each person may use. Set a spending limit per advisor so costs stay predictable, and watch real usage on a dashboard instead of guessing. Everyone signs in once through single sign-on. It installs on Windows Server behind IIS, the same approach as a company-wide AI you host yourself, and it sits inside your network, behind your firewall, in your own branding. The whole thing is yours to operate.

We help you put it in place

You do not have to work this out alone. We set kral up with you, connect it to your systems, and advise on rolling AI out across the office without the data leaving your side. Implementation consulting is part of what we offer, so you have a partner from the first install to the day your advisors are using it daily.

Give your people a capable AI workspace and keep your clients' personal histories where they belong. See it running, then let us help you put it on your own server.

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