One place to manage, evidence
and report your
AI Governance.
The AIGN Governance Control Center creates the operational layer your organization needs to document which AI systems exist, prove governance is active and deliver board-ready reporting — before regulators ask.
Expert-operated from day one · No software procurement required · 11 governance modules
Inventory: know what AI exists
Evidence: prove governance is active
Oversight: track responsibility
Board: deliver defensible reporting
AI is already operating.
Governance often is not.
Most organizations use AI systems, copilots and vendor models today. Very few can clearly state what exists, who is accountable and what evidence they can show an auditor or a board.
-
01
No central AI inventory Which AI systems, copilots, models, vendors and agents are already in use — and who owns them?
-
02
No evidence layer Policies exist, but evidence of decisions, oversight, risk acceptance and escalation is fragmented or absent.
-
03
No board visibility Leadership needs governance reporting they can act on — not technical complexity or disconnected compliance documents.
-
04
No operating model One-time assessments and static documentation do not create recurring governance. AI Governance must be operated, not only documented.
AI Governance is no longer
a compliance document.
It is an operating problem.
Regulation changes. Vendors add AI features. Agents enter workflows. Auditors ask questions. Boards need evidence. The Governance Control Center gives organizations a continuously operated command layer for each of these governance challenges.
all AI systems, vendors and agents
risk, regulation and criticality
controls, evidence and oversight
board-ready governance briefings
Eleven modules.
One operating model.
Each module has a defined governance purpose. Together they form the command layer that connects AI inventory, regulatory exposure, evidence, oversight, risks, incidents, board reporting and trust readiness.
AI System Registry
Inventory of AI systems, copilots, LLMs, agents, vendors and shadow AI signals across the organization.
Regulatory Mapping
EU AI Act, GDPR, DORA, NIS2 and internal policy mapping with risk classification logic per system.
Human Oversight
Tracking of escalation points, approvals, overrides, responsible owners and oversight gaps.
Agent Governance
Registry and control logic for autonomous AI agents — permissions, risk levels and escalation rules.
Evidence Center
Governance logs, decision evidence, approval histories, audit trails and risk acceptance documentation.
Risk & Incident Center
Tracking of incidents, vendor risks, hallucination risks, data leakage risks and escalation events.
Board View
Executive dashboards, governance KPIs, maturity trend, liability exposure and board-ready briefings.
Trust Label Readiness
Evidence readiness, certification gaps, control maturity and trust status development over time.
Intelligence Signals
Regulatory alerts, industry signals, vendor signals and emerging AI Governance risks — curated monthly.
Governance Operations
Recurring governance routines, remediation tracking, action ownership, review cycles and operational calendars.
Academy & Enablement
Training status, certification tracking, role readiness, awareness monitoring and capability building.
Systemic
Governance Layer
The Control Center is built on AIGN OS — the systemic AI Governance operating model. All eleven modules connect into one coherent governance logic: lifecycle control, evidence, oversight, risk management, trust infrastructure and board-level defensibility.
- Responsible and auditable AI Governance
- Evidence-first operating model
- Board and audit defensibility by design
- Trust Label readiness track included
Four steps from AI inventory
to board-ready governance.
Map
Identify AI systems, owners, vendors, risks and relevant business areas. Establish the AI inventory as the foundation of all governance operations.
Classify
Assess regulatory relevance under EU AI Act, GDPR, DORA and NIS2. Determine criticality, risk exposure and governance maturity per system.
Operate
Set up controls, evidence tracking, escalation flows and recurring governance routines. Move from static documentation to an active operating model.
Report
Deliver board-ready governance reports, executive dashboards and trust readiness views. Make governance visible, defensible and auditable.
Start managed.
Scale into infrastructure.
All packages are expert-operated. No software procurement. No implementation project. Governance starts in the first month.
Control Center Setup
- AI Governance inventory template
- Initial risk classification model
- Regulatory mapping structure
- Basic evidence framework
- Executive governance summary
- 90-minute board briefing
Best for: organizations starting their AI Governance operating layer.
Request SetupManaged Control Center
- Monthly governance dashboard
- AI system registry maintenance
- Risk and compliance heatmap
- Governance evidence tracking
- Monthly AI Governance briefing
- Board-ready reporting pack
- Quarterly governance review
- Trust Label readiness view
Best for: organizations that need continuous governance operation and recurring board reporting.
Start Managed ControlControl Center Enterprise
- Multi-unit governance cockpit
- Industry and function-specific views
- AI agent governance layer
- Vendor governance monitoring
- Advanced evidence model
- Audit committee reporting
- Custom governance KPIs
- Trust Label preparation track
Best for: complex organizations with multiple business units, regulated industries or advanced audit requirements.
Request Enterprise CallThe Managed Control Center at €4,900/month corresponds to approximately 0.3 FTE of senior compliance capacity — without hiring, onboarding or knowledge gaps.
Organizations with 50–5,000 employees using AI tools, copilots, LLMs or AI-assisted workflows in at least two business functions.
First governance dashboard and executive summary delivered within 30 days of engagement start. No infrastructure setup required.
Because AI Governance must be
operated, not only documented.
Built on AIGN OS
The Control Center is based on the AIGN OS logic: governance layers, lifecycle control, evidence, oversight, risk management, trust infrastructure and operational readiness. Not a methodology document — an operating model.
Designed for operational readiness
Organizations that wait until formal obligations fully apply will face inventory gaps, evidence gaps and operational pressure at the worst possible moment. The Control Center creates readiness before governance becomes a crisis.
No software, no delay
The Control Center starts as a managed operating layer using dashboards, structured templates, governance processes and expert operation. No enterprise software procurement, no implementation project, no 12-month delay before governance begins.
Industry-adaptable by design
Industry-specific views can be added for banking, healthcare, public sector, insurance, manufacturing, energy, retail and technology organizations. Governance exposure differs by sector — the Control Center reflects that.
Frequently asked questions.
Is this already software?
Who is this for?
What is the difference to consulting?
Can this support Trust Label readiness?
Can the package be adapted by industry?
What is the minimum engagement?
How does onboarding work?
Build your AI Governance
command layer before
regulators ask.
Start with a structured setup, move into managed governance operation and create the evidence layer your board, auditors and regulators will expect — from the first month of engagement.