Make AI Governance
visible, evidence-based
and defensible.
The AIGN Trust Label is built to become a visible trust signal for customers, partners, boards and audit-facing governance processes — aligned with EU AI Act, ISO/IEC 42001, GDPR, NIS2 and DORA.
What it isn’t: A legal certification, a regulatory approval, or a substitute for statutory audits.
Compliance is invisible. Trust must be shown.
Organisations invest heavily in AI governance — yet struggle to make their maturity visible to auditors, customers and boards. The AIGN Trust Label closes that gap with structured evidence.
Auditors expect evidence
Policies alone are not enough. Audit-facing processes increasingly require demonstrable, traceable governance — controls, decision records, accountability paths.
Customers ask the question
„How do you govern your AI?“ is becoming standard in RFPs, procurement and B2B contracts. Without structured evidence, deals slow down.
Boards need defensibility
Under EU AI Act and NIS2, leadership carries personal accountability. Documented diligence becomes a strategic protection.
Eight structured governance dimensions.
The AIGN Trust Label assessment is based on the AIGN OS reference architecture and reviews structured evidence across eight dimensions of AI governance maturity.
AI System Inventory & Classification
Documented inventory of AI systems, risk classification, and scope of governance application across the organisation.
Governance Roles & Accountability
Defined roles, RACI assignment, AI governance bodies, escalation paths and reporting lines to leadership.
Risk & Impact Assessment Process
Structured AI risk assessments including fundamental rights impact, where applicable under EU AI Act.
Human Oversight & Escalation
Documented human-in-the-loop mechanisms, override pathways and escalation procedures for AI decisions.
Documentation & Decision Logs
Traceable model documentation, design decisions, training data records and audit-relevant logs.
Vendor & Third-Party AI Governance
Governance of external AI providers, foundation model usage, and contractual safeguards along the supply chain.
Incident, Monitoring & Change Management
Continuous monitoring, drift detection, incident response procedures and managed change for AI systems.
Board Reporting & Defensibility
Reporting cadence to leadership, documented diligence and evidence packages for audit-facing processes.
Three labels. One trusted methodology.
Each label is awarded after a structured assessment based on the AIGN OS reference architecture. Tiers reflect scope and target context — not quality of governance.
AIGN Trust Label · Certified
The flagship governance signal. Confirms documented operating model, control structure and accountability across an organisation’s AI systems.
- Full AIGN OS-based assessment (8 dimensions)
- 25+ governance criteria reviewed
- Regulatory mapping (EU AI Act, GDPR, ISO 42001)
- Public verification page · Digital badge & seal
- 12-month validity · Documented assessment record
AIGN Trust Label · Excellence
Advanced tier for organisations operating high-risk AI under EU AI Act, NIS2, DORA. Adds deep technical validation, third-party governance and board defensibility evidence.
- Extended assessment · 50+ criteria
- AI Risk & Fundamental Rights Assessment
- Model inventory · Lifecycle & bias review
- Third-party / vendor governance review
- Board-level defensibility report
- Surveillance reviews · Documented assessment record
AIGN Trust Label · Education
Dedicated trust label for educational institutions. Recognises structured, responsible and transparent use of AI in learning environments — including governance, student protection and institutional oversight.
- AI usage & ethics framework for education
- Student protection & responsible AI policies
- Teacher & staff AI governance enablement
- Institutional oversight & accountability
- Public trust signal for parents, partners, authorities
- Adapted AIGN OS assessment for education
The label that makes AI vendors easier to trust,
easier to buy.
The AIGN AI Vendor / Third-Party Governance Service is for AI vendors, SaaS providers, technology partners and third-party suppliers that need to prove responsible AI Governance to enterprise buyers, procurement teams, compliance functions and boards.
AIGN Vendor Trust Label
Visible proof of AI Governance maturity for trusted third-party providers. Designed to answer enterprise procurement questions before they are asked.
Enterprise buyers no longer ask only what your AI can do. They ask whether it can be trusted.
AI vendors are entering procurement processes where legal, compliance, risk, security and data protection teams all ask different questions. Without structured governance evidence, even strong products lose deals, delay onboarding or appear immature in enterprise risk assessments.
Vendor questionnaires are becoming harder.
Enterprise customers increasingly expect clear answers on AI use cases, data flows, model oversight, human control, documentation, monitoring and regulatory exposure.
AI trust is now part of sales.
AI vendors can no longer rely only on product claims, technical demos or privacy statements. Buyers want structured proof that governance exists in practice.
Unclear governance slows procurement.
When AI governance is not documented, every buyer must perform their own review. This creates friction, delay and avoidable deal risk.
What AIGN reviews before a vendor can carry the label.
The assessment is not a marketing badge. It is a structured governance review aligned with the expectations of enterprise buyers, third-party risk teams and responsible AI oversight.
AI System Transparency
What AI is used, where it is embedded, what it does and how customers are informed.
Data & Input Governance
How data is collected, processed, protected and restricted in AI-enabled workflows.
Risk & Control Logic
How risks are identified, classified, mitigated, monitored and escalated.
Human Oversight
How human review, intervention, accountability and decision ownership are structured.
Documentation
Whether the vendor can provide usable, buyer-ready and audit-relevant governance evidence.
Customer Enablement
Whether customers receive the information they need for procurement, compliance and internal AI inventories.
Regulatory Mapping
Relevance to EU AI Act, ISO/IEC 42001, NIST AI RMF and sector-specific governance expectations.
Operational Maturity
Whether governance is embedded in real processes rather than existing only as a policy statement.
From vendor intake to public trust signal.
AIGN follows a clear assessment journey so vendors know what is reviewed, what evidence is required and how the Trust Label decision is made.
Vendor Intake
Initial profile, product scope, AI use case overview, customer segments and regulatory relevance.
Evidence Request
AIGN requests structured documentation across governance, risk, data, oversight and customer transparency.
Governance Review
Assessment against AIGN Vendor Governance Criteria and enterprise procurement expectations.
Gap & Decision
Clear finding: ready for label, conditionally ready after remediation, or not yet label-ready.
Label & Renewal
Successful vendors receive the AIGN Vendor Trust Label with defined validity and annual maintenance.
For vendors that want to become easier to trust, easier to buy and easier to approve.
The service is built for AI-enabled vendors that need stronger positioning in enterprise procurement, compliance review and buyer trust conversations.
AI SaaS Vendors
Platforms, tools and applications that embed AI into workflows, decisions, analytics, automation or user-facing features.
AI Consulting & Implementation Partners
Advisory firms, integrators and managed service providers that deliver AI solutions for corporate clients.
HR-Tech, EdTech, LegalTech & RegTech
High-sensitivity vendors where AI governance, fairness, accountability and documentation are especially important.
Enterprise AI Providers
Vendors selling into large companies, regulated industries, public sector buyers or international enterprise accounts.
AI Agents & Automation Providers
Providers whose systems act, recommend, trigger workflows or support operational decision-making.
Vendor Portfolios
Organizations that want AIGN to review multiple AI vendors in their supply chain or technology ecosystem.
Clear packages for vendors and enterprise buyers.
Pricing is designed to reflect the commercial value of trust: faster procurement, stronger buyer confidence and a visible AIGN Vendor Trust Label for qualified vendors.
Vendor Governance Screening
For early-stage vendors or smaller AI providers that need a first external view of their AI Governance readiness.
- Initial AI vendor profile review
- Governance questionnaire
- High-level risk and maturity view
- Gap summary for improvement
- No automatic Trust Label issuance
AIGN Vendor Trust Label Assessment
The core assessment for AI vendors that want to qualify for the AIGN Vendor Trust Label.
- Full vendor governance assessment
- Evidence review and documentation check
- AI Governance risk profile
- Assessment against AIGN Vendor Governance Criteria
- Label decision: approved, conditional or not yet ready
- Public-facing Vendor Trust Statement if approved
AIGN Vendor Trust Label Plus
For vendors selling into enterprise, regulated industries or public-sector procurement environments.
- Everything in the Trust Label Assessment
- EU AI Act / ISO 42001 / NIST AI RMF mapping
- Buyer-ready Procurement Pack
- Customer-facing governance explainer
- Board and risk briefing format
- Sales enablement trust materials
Annual Label Maintenance & Re-Validation
To keep the AIGN Vendor Trust Label credible, vendors undergo annual re-validation and update review. Pricing starts at €6,900 per year, depending on vendor size, product complexity and change frequency.
Enterprise Vendor Portfolio Review
For organizations that want AIGN to review multiple AI vendors, third-party providers or AI-enabled tools in their procurement and technology ecosystem. Pricing starts at €38,000.
What the vendor receives.
AIGN combines assessment, documentation, market trust and buyer usability into one service package.
For the Vendor
- AIGN Vendor Governance Assessment
- AI Governance Risk Profile
- Evidence and documentation gap summary
- Governance improvement recommendations
- AIGN Vendor Trust Label if requirements are met
- Customer-facing Trust Statement
For the Buyer
- Clearer vendor governance signal
- Reduced procurement uncertainty
- Structured view of AI risk and oversight
- Better documentation for third-party risk review
- Improved basis for internal AI inventory and accountability
- Greater confidence in vendor selection
The AIGN Vendor Trust Label is a governance trust signal — not a legal guarantee.
The label reflects AIGN’s structured review of AI Governance maturity based on the evidence provided and reviewed at the time of assessment. It does not replace legal advice, regulatory certification by a notified body where required, cybersecurity certification or customer-specific due diligence. Its value lies in making governance maturity visible, structured and defensible.
Make your AI vendor easier to trust.
Apply for the AIGN AI Vendor / Third-Party Governance Service and show enterprise buyers that your AI Governance is not only claimed — it is structured, evidenced and externally reviewed.
A world first in AI Governance for Education.
In September 2025, Fayston Preparatory School in Seoul, South Korea became the first institution in Asia to receive the AIGN Education Trust Label — and the first school worldwide to be recognised under the AIGN governance framework for education.
This milestone proves that AI governance is no longer abstract — it is teachable, certifiable, and operational.
to receive the label
independently assessed
real-world pilot
What the label actually delivers.
Beyond a logo: practical business outcomes from a structured, evidence-based governance signal.
Audit-facing evidence
Structured documentation, controls and decision records ready for internal audit, customer reviews and supervisory inquiries.
Sales acceleration
Reduces repetitive governance evidence requests, shortens procurement discussions and supports faster trust-building in regulated B2B sales cycles.
Board defensibility
Documented external assessment provides leadership with evidence of due diligence under EU AI Act, NIS2 and sector rules.
Customer & stakeholder trust
Public verification page, digital badge and seal — usable on website, contracts, ESG reporting and investor communication.
EU AI Act penalties may reach up to €35M or 7% of global annual turnover for the most severe violations.
Documented governance, risk assessment and diligence evidence have become commercially relevant — both for regulatory exposure and for customer-facing procurement, partner due diligence and board accountability.
From assessment to visible trust in 8–12 weeks.
A structured five-step assessment process based on the AIGN OS reference architecture and documented assessment criteria.
Scope
Define AI use cases, systems, vendors, regulatory exposure and assessment boundary.
Assess
AIGN OS-based maturity assessment. Document review, interviews, control mapping.
Validate
Evidence review, gap analysis, technical validation of controls and accountability structures.
Award
Assessment decision based on documented criteria. Issuance of label, public listing, digital seal.
Sustain
Surveillance reviews, regulatory updates, reassessment after 12 months.
Four labels. Individual scoping.
Pricing depends on scope, number of AI systems, regulatory exposure and assessment depth. Each engagement starts with a structured scoping conversation and an individual proposal.
AIGN Trust Readiness
For SMEs and first governance visibility
- AIGN OS Light Assessment
- Initial AI use case review
- Foundational governance criteria
- Digital readiness badge + verification page
- 12-month validity
- Self-service portal access
AIGN Trust Label · Certified
For enterprises and public sector
- Full 8-dimension AIGN OS Assessment
- Multi-use-case review
- 25+ governance criteria
- Regulatory mapping (AI Act, GDPR, ISO 42001)
- Board-ready assessment report
- Public listing & digital seal
- Surveillance reviews
- Priority advisory access
AIGN Trust Label · Excellence
For regulated sectors and critical infrastructure
- Extended assessment · 50+ criteria
- Enterprise-wide AI use case scope
- AI Risk & Fundamental Rights Assessment
- Model inventory & lifecycle review
- Third-party / vendor governance review
- Sector mapping (NIS2, DORA, sector rules)
- Board defensibility report
- Quarterly surveillance reviews
- Dedicated AIGN governance lead
AIGN Trust Label · Education
For schools, universities and academies
- Adapted AIGN OS assessment for education
- AI usage & ethics framework
- Student protection & responsible AI policies
- Teacher & staff governance enablement
- Institutional oversight structures
- Public trust signal · Digital badge & seal
- Aligned with OECD, UNESCO, NIST, ISO 42001
Every engagement begins with a scoping conversation.
We assess your AI portfolio, regulatory exposure and target audience — then deliver an individual assessment proposal with defined scope, timeline and investment.
Multi-year and group engagements available · Education tier first awarded September 2025 · Seoul, KR
AIGN Trust Label is not a legal certification.
It is an evidence-based governance signal that helps organisations make AI governance visible, reviewable and defensible.
Move from policy
to provable trust.
Every engagement begins with a structured scoping conversation. We assess your AI portfolio, regulatory exposure and target audience — then deliver an individual proposal with defined scope, timeline and investment.