Platform
Platform overview Six modules from discovery to evidence on one governance backbone. AI Inventory & Discovery Make shadow AI usage visible. Use-case Intake & Triage One-page intake, 5 business-day SLA. Risk & Autonomy Tiering Green / Amber / Red decision model. AI Gateway & Policy All model traffic through one control point. Audit Trail & Evidence Audit-ready, tamper-evident record.
Solutions
AI Center of Excellence A single operating console for the hub team. CISO & Security Data-leak control and kill switch. Legal & Compliance Collect regulatory evidence automatically. Executive Leadership Measure the return on AI investment. Business Units (Spoke) Make the approved path the easy path. Industries Manufacturing, finance, health and public sector.
Compliance
EU AI Act Obligation timeline and readiness map. ISO/IEC 42001 AI management system (AIMS) controls. NIST AI RMF Govern, Map, Measure, Manage mapping. KVKK & GDPR Personal data and DPIA linkage. Security & Architecture Tenant isolation, SSO, MFA, data residency. Control matrix Which module satisfies which clause.
Framework
Resources
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Governance Framework

An operating model built from roles, decision tiers and a 90-day rollout plan.

Behind AIZEC there is not only software but a working model designed to govern enterprise AI usage. This page explains that model.

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Principles

Four principles, one goal: make the approved path the easiest path.

The model is built on convenience, visibility and proportionate control. The themes Gartner and McKinsey put at the front of the enterprise AI agenda meet at the same place: clear ownership, risk tiering and measurable business impact.

  • Proportionality: control scales with risk. Slowing down low-risk usage destroys trust in governance.
  • Visibility first: the inventory is a precondition for every other control. A tool that never enters the inventory never enters triage either.
  • Clear decision ownership: every tier has an owner, an SLA and a duty to state its rationale.
  • Evidence accumulates by itself: audit readiness is a by-product of daily operations, not a separate project.

If an employee has to ask "is this forbidden?", the process is not visible enough. The goal is that the approved path is obvious while they are still filling in the form.

AIZEC governance model
Lifecycle

How an AI use-case is governed

Each of the four stages has an owner, an output and a defined duration.

01

Discover

Surface existing usage through an inventory campaign. The first entry is voluntary; the goal is visibility, not punishment.

02

Classify

Every use-case lands on the Green, Amber or Red tier. The rationale is written down and permanent.

03

Control

DLP, risk assessment, testing and legal approval apply according to the tier. A kill switch is mandatory at red.

04

Measure and improve

Gateway traffic, time-to-decision and business impact are measured. Results feed the next period's tiering criteria.

Maturity model

Where does your organisation stand?

A five-level model used to determine where your governance programme is today and what the next step should be.

Level Definition Typical symptom Next step
1. Unaware AI is used, but nothing is recorded. Usage has never even been surveyed. Launch a voluntary inventory campaign.
2. Visible An inventory exists and usage is known. Spreadsheets exist, but no decision mechanism. Establish use-case intake and a triage SLA.
3. Governed Tiering and approval flows are running. Decisions get made, but evidence is scattered. Turn on the audit trail and gateway integration.
4. Measured Metrics are reported regularly. Coverage and time-to-decision are tracked. Measure business impact metrics and reuse.
5. Optimised Decision criteria improve from data. Reuse rises and decision time falls. Partially automate the red-tier criteria.

The maturity level is a position check, not a target. The real gain comes in the move from level 2 to level 3, when the decision mechanism is put in place. Gartner and McKinsey describe the same threshold in their enterprise AI work as the step from pilots to a governed operation.

Rollout

The first 90 days

Governance programmes do not start with a large launch. They start with the first real decision.

  1. Days 0-15

    Setup and scope

    Tenant creation, SSO connection, business unit and role definitions. Identifying the CoE team and spoke representatives.

  2. Days 15-45

    Inventory campaign

    Voluntary inventory entry, a communication plan and field work with spoke representatives. First coverage measurement.

  3. Days 45-70

    First triage cycle

    Opening the use-case intake form, first tiering decisions and the start of SLA tracking. Building the approved alternatives catalogue.

  4. Days 70-90

    Gateway and reporting

    Gateway log integration, the first monthly report snapshot and the first governance briefing to the board.

Roles

Distribution of responsibility

The model requires every decision to have exactly one owner.

Role Responsibility Decision authority Accountable metric
AI CoE (Hub) Policy, tiering, catalogue Green and Amber approval Coverage rate, time-to-decision
Spoke representative Field adoption, steering Recommendation Unit inventory coverage
Security Gateway, risk, kill switch Red assessment and revocation Violation count, approved traffic ratio
Legal & Compliance Regulation and personal data Red legal approval Open compliance findings
Executive Priority and resourcing Programme approval Business impact, return on investment

Let us adapt the model to your organisation.

We will determine your current maturity level together and draw up the first 90-day plan.

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