What AI governance is
Deciding what AI may do, before it does it.
AI governance defines and enforces what AI can see, recommend and do, under whose authority, with a record of what happened. It is built into the systems AI works through, so the limits hold when nobody is watching.
Artrilogic AI
Answers from our published service information
Artrilogic AI
Answers from our published service information
01 / The question
“Can AI do this?” is the easy question. The one that matters is: under what conditions should it be allowed to?
AI models sound confident even when they are wrong, and automation built carelessly produces wrong answers quickly. The risk is AI acting before anyone has decided where its authority ends. Our view on the reality of AI.
Your existing systems and your people stay the source of truth. Governance is how that stays true once automation starts taking actions.
02 / What it settles
Five questions, answered before AI acts.
Governance is the set of answers to these questions for each process, written down and enforced in the systems the AI works through rather than left to a policy document.
- 01
What it can see
Which systems, records and fields the AI may read, and which classes of data must never leave your boundary.
- 02
What it can recommend
Where AI may draft, summarise or suggest, and how a recommendation is shown to the person who acts on it.
- 03
What it can do
Which actions it may take on its own, which it may only prepare for a person to approve, and which it may never take.
- 04
Under whose authority
A named person in your business owns each automated process and the authority it has been given.
- 05
What it leaves behind
A record of what happened, why, on what information, under what authority, and who approved it.
03 / Scope
What we mean, and what we do not.
Governance is a crowded word. Ours is narrow on purpose: the controls that decide what AI and the systems around it are allowed to do.
- Not corporate governance advice
- We do not advise boards on governance structures. We design and build the controls inside the systems AI uses.
- Not a certification or an audit
- We give your risk and audit teams evidence they can examine. We do not certify compliance or provide legal assurance.
- Not a product licence
- We start from a governance baseline we maintain and tailor it to your processes. There is no platform to buy.
- Not the same as Private AI
- Where AI runs and what it may do are separate questions. Governance applies to cloud-hosted AI as much as to private deployments.
04 / Where it applies
In everything we build, not only as a separate engagement.
The same controls apply wherever AI touches your systems. In automation, they set what each step may do. In modernisation, they decide what AI-assisted engineering may change and how each change is checked. In new products, they decide what customer data the AI features can reach.
They also apply to AI you already use. Many businesses have staff using AI tools without agreed limits. Governance starts by finding out what those tools are permitted to do, what they actually do, and what closes the gap.
You can engage us for governance on its own. More often it is part of the work, designed in from the first conversation, because controls added later cost more and cover less.
Common questions
What people ask first.
Can AI approve things?
Only within categories a person has approved in advance, and only where the action is reversible or low-impact. Anything irreversible, high-value or seen by customers is prepared for a person to approve. That limit is part of the design, so it cannot be quietly switched off.
Who is accountable when automation acts?
A named person in your business owns each automated process and the authority it has been given. The evidence record shows what the automation did under that authority, so it is always clear who was responsible.
Is this a product we have to buy?
No. We start from a governance baseline we maintain and refine across engagements, then tailor it to your processes, systems and risk. You get a head start on the design, and there is no platform licence.
More on governance
Keep reading.
- WhyWhy govern AISecurity and compliance risk, traceability for audit, and the confidence to adopt useful AI.Read more
- HowHow we govern AIAuthority levels, permissions, data boundaries, approvals, evidence and where AI runs.Read more
- WhoWho it is forWhat governance gives each of four roles in a business.Read more
Already using AI?
Find out what your current AI use is allowed to do.
We map what your AI tools are permitted to do, what they actually do, and the controls that close the gap. Or start with a new process and build the controls in from the start.