Proportionate control
Every approval step that slows down low-risk usage erodes trust in governance. We do not ask for approval at the green tier, only a record.
About
We were founded to make enterprise AI governable.
AIZEC grew out of a real enterprise need: AI usage was everywhere, and nobody could say exactly where.
AIZEC came out of the practical needs of a large-scale enterprise AI governance programme. The initial question was simple: if employees are already using AI, how do we make that usage visible and safe without banning it?
We saw early that banning does not work. Every blocked tool came back the next day through a personal account. This time it left no trace at all. The real task was not cutting off access but making the approved path the easiest path.
That required three things: an inventory reflecting real usage, a decision mechanism proportionate to risk and predictable enough to trust, and an evidence trail that accumulates behind every decision on its own. AIZEC brings the three together on one data model.
Today AIZEC runs as a multi-tenant platform where every customer organisation is its own tenant. The governance model is adapted per industry, but the founding principle does not change: usage that never enters the inventory cannot be governed, and a decision with no record cannot be defended in an audit.
Our principles
Three decisions that shaped the product
Each of these three principles has a concrete counterpart in the product; we have written down which one.
Visibility comes first
In an organisation without an inventory, risk assessment is guesswork. That is why the first entry is voluntary and made as easy as possible.
Evidence is a by-product
Audit readiness should not be a separate project. In a well-designed workflow, evidence is created alongside the decision itself.
Platform
What AIZEC provides as standard
2
Authentication models
Per-tenant OIDC/SSO or local login with mandatory MFA.
6
Governance modules
One data model from inventory to audit evidence.
3
Autonomy tiers
Each tier automatically inherits its own control set.
4
Reference frameworks
EU AI Act, ISO/IEC 42001, NIST AI RMF, GDPR.
Outcome metrics specific to your tenant are reported on your own dashboard.
How we work
Deployment starts with the operating model, before the software.
Without the working model behind it, a governance platform is just an empty database. That is why every deployment starts with the model itself.
- Deployment starts with role and responsibility definitions, not with tenant and SSO configuration.
- The first 90 days focus on the first real triage cycle, not on a large launch.
- Tiering criteria are adapted together, according to your organisation's risk appetite.
- Your team keeps direct access to our engineering team after handover.
In an organisation without an inventory, AI risk assessment is the formal name for guessing.
Let us talk about where your programme stands.
Whether you are building your first inventory or preparing for an audit, we will identify your starting point together.