Skip to content
iRon King Automated IT Book 30 min WhatsApp
Menu

AI governance

Your company’s AI goes through a door you can see

Directory identity, policy outside the prompt and a record of who asked what, in a single place.

Book 30 min about AI Governance Chat on WhatsApp

Illustration.
Illustration.

The problem

Contracts, price sheets and customer data are being pasted into public tools right now, by well-meaning people solving real problems. There is no record, no enforceable policy, and blocking it at the firewall just pushes the use onto personal phones.

In action

See it happen

  1. Out-of-policy question
  2. Declined
  3. Company question
  4. Answer from the base
Real recording in iKSA, with AI governance switched on: live answers, wait shortened.

What it does

What changes in how the company uses AI

  • One door

    The company’s AI goes through a platform with your brand, on your server, instead of everyone pasting data into a public tool.

  • Knows who it is

    Login through the directory you already have, with no new password and no personal accounts.

  • Applies the rule

    Policy runs on the server, in code. Anything outside it is refused, and the model has no way to reinterpret it.

  • Records

    Usage is recorded per person, for the conversation with audit and legal.

In practice

In production at Grupo NTK

AI Governance runs today at Grupo NTK, alongside the other six solutions. What seven years of modernization changed is in the case.

42% fewer IT tickets Grupo NTK See the case

What you get

What ends up running in your environment

  • Comes inside iKSA, the support assistant. For other AI uses in the company, it is scoped as a project
  • The company’s own AI platform, with your brand, on your server
  • Login through the directory you already have, with no new password and no personal accounts
  • Policy enforced on the server, in code, not in text the model can reinterpret
  • Usage recorded per person, for the conversation with audit and legal
  • Change models without changing tools, including one running in-house when the case calls for it

How it works

From question to record, step by step

  1. The person signs in

    With the company login, through the directory.

  2. They ask

    In the same place, with the model the company chose.

  3. The rule decides

    Anything outside the policy is refused. Anything inside it is answered from the company’s own knowledge base.

  4. It is recorded

    Who asked, with what data and under which rule.

Your team keeps using AI. Now you know who asked, with what data and under which rule.

Tell us what is holding your IT back