1 · Mandate and accountability
Leadership decides what AI is used for, within which limits, and who answers for it.
Six rings that hold from the inside out, on a floor of people who understand what they use. Rate each control on its real evidence and find out which ring your organization is stuck on.
It measures whether your organization governs artificial intelligence in the right order: leadership mandate first, then inventory and risk, data, output quality, agents and monitoring, all resting on a base of trained people.
There are 34 controls rated on a 0–4 scale. An outer ring does not count if the inner one fails, because that is how risk behaves in practice. It is free, requires no sign-up, and your answers are stored only in your browser.
It opens with a fictitious example so you can see how the target reads. Press “Start assessing my company” to answer with your own data.
Your organization’s level is the last resolved ring counting from the center. A ring holds when it reaches 65% and has no nonexistent controls.
Leadership decides what AI is used for, within which limits, and who answers for it.
Which AI is used, where, with which vendor and how much risk each case carries.
Provenance, measured quality, one shared meaning and legitimate use of data.
Answers that are tested, protected and explainable to a customer or an auditor.
Machine permissions that are clear, limited, logged and revocable.
Watch, respond, recover and demonstrate what was done.
Role-based training, acceptable use, AI-literate leadership and a reporting channel.
Industry and size give context to the report; nothing is sent to any server.
From 0 (nonexistent) to 4 (measured). Rate what you can prove, not what is planned.
A named person per ring, and whether it was reviewed or drilled in the last 12 months.
Copy the summary, print it to PDF or review it with LandoHOUSE.
Each control points to where you can go deeper. The target is a guide: it does not replace an audit or a certification.
AI management system: leadership, risk, Annex A controls and continual improvement.
Govern, Map, Measure and Manage functions for trustworthy AI risk.
Good-practice reference on risk classification, data, transparency and human oversight.
Agent identity and access, logging, and threats specific to language models.
AI leadership on subscription: policy, committee, use case inventory and measurable return.
View serviceRole-based AI literacy for the board, management and teams: the floor beneath the whole target.
View programsFree cybersecurity assessment, threat map and other self-assessment instruments.
View toolsIt is a free LandoHOUSE self-assessment that measures, across six rings and a floor of people, whether an organization governs artificial intelligence with a mandate, an inventory, trusted data, defensible outputs, bounded agents and monitoring.
There are 34 controls on a 0–4 scale. It is best answered with evidence at hand and, where possible, with representatives from business, technology, risk and legal.
Only in the browser of the device you use. LandoHOUSE does not receive the information unless you choose to send us the summary through the contact form.
Because an advanced control without its base does not hold: a well-configured agent using data without provenance, or a tested model with no owner, is still a risk. The target rewards order, not just the average.
It applies to those who place AI systems on the European Union market or whose outputs are used there. For other organizations, the target uses it as a good-practice reference alongside ISO/IEC 42001 and the NIST AI RMF.
No. It is a guidance self-assessment that does not replace an audit or a certification. It helps you prioritize and talk with leadership in a common language.
Which process, risk or opportunity does your company need to address? Let's talk to understand your situation and define the next step.