A policy is not an operating system.
Many organisations already have principles, roles or checklists. What is missing is the operating logic that connects them: Which AI systems exist? How are they classified? Who decides? Which controls are triggered? What evidence must be available at any time?
Operating model gap
Roles are created before processes, decision rights, escalation paths and evidence requirements have been defined.
Classification gap
AI is introduced before intended purpose, legal role, risk pathway, transparency obligations and system changes have been properly assessed.
Evidence gap
Accountability is formally assigned, yet decisions, controls and system changes cannot later be reconstructed with confidence.
From organisational foundations to an operating AI governance system.
The application does not begin with an isolated questionnaire. It starts with the organisational foundation. Each relevant use case is then guided through a traceable sequence of classification, controls, evidence and release decisions.
Organisation Blueprint
Define scope, governance roles, responsibilities, regulatory touchpoints and the implementation framework.
AI Inventory & Migration
Register AI systems, shadow AI, vendors, agents and workflows, or migrate existing inventories from CSV, JSON and XLSX.
Regulatory Pathway
Assess AI-system qualification, prohibited practices, transparency, Annex I/III, GPAI, FRIA, roles and registration through a structured pathway.
Activate controls
Turn captured facts into applicable obligations, actions, risks, blockers, dependencies, owners and reviewers.
Evidence & decisions
Connect the Evidence Ledger, Control Operating Center, Decision Log, reviews, approvals, versions and hashes.
GovPass & operations
Produce board-ready outputs, exports, a roadmap, release decisions and continuous reclassification.
A guided workspace instead of a disconnected collection of tools.
Teams do not just see questions. They see what to do next, why a requirement was triggered, who is accountable and which evidence is still missing.
Customer Service Agent
Organisation · Service · Agentic AIIllustrative product view based on the actual AIGN OS workflow.
Eight layers connect strategy, law, operations and evidence.
AIGN OS 4.0 is more than an architecture diagram. The Guided Installer translates every layer into questions, accountability, controls, evidence and operational outputs.
Organizational Interface
Roles, RACI, board reporting, escalation and cross-functional accountability.
Governance Kernel
Lifecycle logic, autonomy boundaries, approvals, reclassification and governance reflexes.
Classification & Regulatory Pathway
Qualification, Prohibited AI Gate, transparency, high-risk classification, GPAI, FRIA, registration and roles.
Compliance Engine
Translate applicable obligations into controls, processes, documentation and monitoring.
Framework Modules
Sector, jurisdiction, agentic AI, critical-sector and management-system context.
Governance Toolchain
Evidence Ledger, logs, reviews, templates, monitoring and incident records.
Maturity & ASGR
Maturity, classification readiness, gaps and a prioritised implementation roadmap.
Trust & Assurance
Structured assurance evidence, board readiness, audit readiness and trust dimensions.
One connected workspace for AI governance.
From the first inventory to ongoing monitoring, facts, obligations, controls, decisions and evidence remain connected.
AI System Register
Portfolio overview, system facts, purpose, vendors, roles, status and lifecycle context.
Migration Hub
Import and validate existing inventories from CSV, JSON and XLSX without inventing missing legal facts.
Classification Engine
Tri-state, fail-closed routing for prohibited practices, transparency, high risk, GPAI and role shifts.
Obligation Graph
Connect applicability, legal status, source, owner, reviewer, controls and required evidence in one obligation graph.
Control Operating Center
Operate control status, ownership, frequency, deadlines, independent review and linked evidence.
Evidence Ledger
Record evidence with review status, validity, version, SHA-256 hash and separation between owner and reviewer.
Decision & Audit Log
Record decisions, rationale, approvals and changes in system-scoped tamper-evident audit chains.
GovPass & exports
Board evidence, roadmap, Evidence Forge, and JSON and CSV packages for downstream governance, DMS or audit processes.
One architecture. Different obligations and contexts.
The solution connects the AIGN OS reference architecture with versioned regulatory logic. Binding law, standards, guidance and voluntary frameworks remain visibly distinct.
Agentic AI and critical sectors require operational boundaries.
When AI calls tools, changes systems, prioritises alerts or influences critical operations, a model description is not enough. AIGN OS extends governance to authority, action space, escalation and reconstructability.
Governance for systems that can act
Action space, autonomy, agent identity, permissions, MCP and tool governance, human oversight, testing, deployment tiers, multi-agent risks, kill switch and post-market monitoring.
Governance for critical impact
Criticality Gate, early-warning governance, regional data sharing, provenance, alert thresholds, escalation authority, false positives and negatives, drift, adversarial resilience and incident evidence.
Structured outputs for defensible AI governance.
AIGN OS does not generate a blanket compliance promise. It creates structured work and evidence objects that help an organisation establish, operate and improve governance in a traceable way.
A shared workspace for every governance role.
The solution creates a shared operating language across business, legal, risk, privacy, IT, security, procurement, audit and executive leadership.
Inside a protected web workspace.
AIGN OS is delivered as a protected WordPress application. Authentication, payment, subscription and entitlements are handled by the surrounding website, membership platform or SSO layer. The plugin provides the governance workspace.
Build and operate your own AI Governance Operating System.
For organisations that want to build governance capability internally and run implementation with their own team.
One organisation · unlimited users and AI systems
plus applicable taxes · charged globally in EUR
What to know before you start.
Is AIGN OS a conventional SaaS platform?
It is not a conventional multi-tenant governance dashboard. AIGN OS runs as a protected WordPress application, while the surrounding website, membership platform or SSO layer handles authentication, payment, subscription and entitlements.
Does the tool guarantee legal compliance?
No. AIGN OS structures facts, classification, obligations, controls, evidence and unresolved legal questions. It does not replace legal advice, regulatory approval, statutory conformity assessment or accredited certification.
Can existing AI inventories be migrated?
Yes. The Migration Hub supports CSV, JSON and, where the required PHP extensions are available, XLSX. Missing legal facts remain deliberately unresolved until reviewed.
Does AIGN OS support agentic AI governance?
Yes. The application includes dedicated governance logic for action space, autonomy, identity, permissions, tools and protocols, human oversight, testing, deployment tiers, kill switch and ongoing monitoring.
Which sectors is the solution designed for?
The architecture is cross-sector. The product contains 17 sector catalogues and additional operational overlays, including finance, insurance, HR, healthcare, education, public sector, manufacturing, technology, critical infrastructure and early warning.
Do we need an existing AI governance team?
No. AIGN OS is designed to help organisations establish roles, responsibilities and ways of working. Qualified legal, technical and assurance functions must still be involved in decisions that require their expertise.
Make AI governance an internal operating capability.
Install a traceable governance structure for AI systems, accountability, controls, evidence and continual improvement — inside your organisation and with your own team.
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