AIGN.Global

Helps organisations classify AI, activate relevant governance controls, and build traceable evidence for accountable, defensible decisions.

Helps organisations establish accountable, evidence-based AI governance and prepare decisions, controls, and records for scrutiny.

Helps organizations operate AI governance continuously, strengthen accountability, and maintain evidence and controls as systems, vendors, regulations, and processes change.

Helps organizations turn fragmented AI oversight into continuously operated, evidence-backed governance and board-ready reporting.

Helps organisations make AI governance maturity visible and evidence-based for customers, partners, boards, procurement teams, and audit-facing processes.

Helps education institutions govern AI decisions affecting children with structured controls, auditable evidence, human oversight, and pathways to verified trust.

Helps startups and SMEs govern AI practically, build auditable trust, and pursue recognition as they grow.

Helps organisations turn AI responsibility into measurable, embedded practices that strengthen trust, resilience, and responsible innovation.

Helps organisations interpret AI governance developments, measure readiness, monitor exposure, and turn findings into practical, defensible action.

Quantifies indicative AI governance exposure and identifies risk drivers, readiness gaps, and prioritised next steps for leadership.

Helps organisations access accountable AI governance expertise and helps professionals strengthen judgment through discreet, structured peer challenge.

Helps organizations find domain-vetted governance professionals and helps candidates access relevant roles, mandates, and expert introductions.

Helps emerging professionals investigate higher-education AI governance gaps, build research capability, and produce evidence-based work with expert feedback.

Helps leaders understand structural AI governance failures and focus analysis on issues affecting accountability, deployment, and regulation.

Develops evidence-informed governance models to help organisations address delegated AI authority and accountability in high-consequence settings.

Capabilities to inventory AI systems, maintain an AI risk register, assess model risks, and enforce governance controls for responsible AI and regulatory expectations.

Products: AIGN OS 4.0, AIGN AI Governance Operating Model Services, AIGN360, AIGN Governance Control Center, AI Governance Risk Quantification Quick Scan (AI-GRQ), AIGN Education Operating System (AIGN EOS), AIGN SME & Startup AI Governance Framework

Monitoring and interpretation of AI regulatory, industry, and technology developments to help governance teams identify exposure, prioritise actions, and inform board oversight.

Products: AI Governance Intelligence Hub

Evidence-based reviews of organisational AI governance maturity, controls, and readiness, with private trust credentials that communicate assessed practices without replacing statutory audits or regulatory approval.

Products: AIGN Trust Label, AIGN OS 4.0, AIGN Education Operating System (AIGN EOS), AIGN SME & Startup AI Governance Framework

Structured learning, mentored research, peer development, and organisational culture programmes that build AI governance skills, leadership alignment, and accountable decision-making practices.

Products: AIGN OS 4.0, AIGN Governance Culture Framework, AIGN Junior AI Governance Research Fellowship, AIGN Circle

Specialist recruitment and talent-access services for employers hiring permanent, interim, or fractional governance professionals, alongside career support and vetted opportunities for subscribing candidates.

Products: AIGN Talent

AIGN OS 4.0

AIGN OS 4.0 is an eight-layer AI governance operating system connecting organisational roles, AI classification, regulatory obligations, controls, evidence, maturity measurement, and trust assurance. Its classification pathway helps organisations qualify AI systems, screen prohibited uses, assess transparency and high-risk obligations, map responsibilities, and identify registration and impact-assessment requirements. The architecture turns obligations into operational controls and structured evidence for boards, auditors, and regulators. Organisations can implement focused modules or a broader operating model. The Guided Installer translates the reference architecture into a traceable workspace and workflow. AIGN OS is a governance architecture, not a standalone software platform. AIGN AI Governance Academy, described as AIGN OS’s human capability layer, provides online learning, practical governance artefacts, readiness profiling, and credential pathways.

Category: AI Governance Software

• Classify AI Systems Before Regulatory Scrutiny
  Establishes a documented regulatory pathway, helping organisations identify applicable obligations and explain how each system was classified.
• Connect Governance Across Eight Operational Layers
  Links roles, rules, controls, evidence, and assurance in an integrated governance architecture.
• Produce Traceable Evidence For Audit And Review
  Connects governance decisions and controls to recorded evidence, helping organisations reconstruct classification, responsibility, approvals, and changes.
• Build Reusable Governance Evidence
  Creates practical records that document ownership, AI systems, decisions, actions, and organisational readiness.
• Map Requirements To Operational Controls
  Connects applicable laws, standards, and frameworks to governance actions, documentation, and monitoring requirements.
• Assign Clear Ownership And Escalation Paths
  Makes responsibility visible across teams and AI systems, showing who owns decisions and required actions.
• Guide Teams Through Governance Tasks And Decisions
  Shows teams next steps, why requirements were triggered, who is accountable, and what evidence is missing.
• Learn And Apply Governance Online
  Connects structured learning with practical governance work through staged programmes and credentials.
• Measure Readiness And Demonstrate Capability
  Provides a documented view of governance strengths and gaps and connects evidenced learning to credential pathways.
• Monitor Changes And Reassess AI Systems
  Records material changes and supports reviews of classifications, controls, and evidence.
• Measure Readiness And Prioritise Governance Gaps
  Provides a structured view of maturity and gaps to support progress tracking and focused implementation.
• Prepare Evidence For Trust And Certification
  Organises governance evidence and readiness information to support audit, certification, and trust-label processes.
• Adapt Governance To Organisational Context
  Allows organisations to start with a focused implementation and expand across layers and context-specific modules.
• Relate Requirements To Governance Practice
  Connects regulatory and standards requirements to governance architecture and contextual framework modules.

AIGN AI Governance Operating Model Services

AIGN provides AIGN OS-based services to help organisations move from AI adoption to classified, evidence-based governance. Engagements range from executive briefings and AI system classification to vendor reviews, FRIA and DPIA integration, technical documentation support, and a full AI Governance Operating Model Sprint. The sprint builds an operating model around classification logic, ownership, controls, evidence, and board reporting. Services translate applicable regulatory obligations into operational controls and governance artefacts designed for board, audit, and regulatory scrutiny.

• Build A Defensible Governance Operating Model
  Establishes the roles, control ownership, evidence practices, escalation paths, and board reporting needed to operate AI governance.
• Classify AI Systems And Document Decisions
  Creates a documented basis for regulatory pathway decisions by classifying AI use cases and recording relevant responsibilities and evidence.
• Translate Requirements Into Operational Controls
  Connects legal and standards requirements to governance controls and operational requirements.
• Move From Discovery To Ongoing Governance
  Helps organisations identify AI systems, activate controls, create traceable evidence, and monitor changes.
• Equip Leaders With Governance Priorities
  Orients leadership teams to classification, accountability, and evidence, with practical next steps.
• Prepare High-Risk AI Evidence
  Helps organise technical documentation and evidence for conformity decisions, data governance, and human oversight.
• Assess AI Vendors Before Deployment
  Reviews intended purpose, available evidence, role responsibilities, and contract risks before key procurement or deployment decisions.
• Connect Fundamental Rights And Data Protection Reviews
  Links fundamental-rights impact analysis with data-protection impact assessment logic and documentation for affected people.

AIGN360

AIGN360 is a managed AI governance service that turns governance from a policy project into a continuously operated function. Powered by AIGN OS, it helps organizations make AI use cases visible, classify regulatory relevance and risk, define responsibilities and controls, maintain evidence, and prepare for audits. Organizations can choose AIGN OS Design for an operating model and governance baseline, AIGN360 Operate for recurring governance activity, or AIGN360 Lead for fractional senior leadership and board-level support.

• Make AI Use And Risk Visible
  Builds a view of AI activity and ownership and classifies use cases to identify relevant expectations, risks, and controls.
• Keep Governance Running Continuously
  Maintains governance through repeated reviews, active controls, updated documentation, change monitoring, and audit preparation.
• Build A Structured Governance Operating Model
  Creates a defined foundation for governance, including ownership, decision forums, workflows, evidence standards, and a path to ongoing operation.
• Demonstrate Defensible AI Decisions
  Keeps governance decisions and controls supportable with evidence for management, audit, and regulatory scrutiny.
• Add Senior Governance Leadership
  Provides external senior leadership and decision support without immediately building a full internal team.
• Track Regulatory Expectations And Changes
  Relates governance controls to regulations and standards and tracks changes that may affect responsibilities.
• Manage Risks And Escalations
  Gives governance issues a defined path for review and escalation.
• Choose A Governance Service Model
  Select a service suited to initial design, continuous operation, or senior leadership support.

AIGN Governance Control Center

The AIGN Governance Control Center is an expert-operated governance command layer that helps organizations map AI systems, classify regulatory exposure, operate controls, maintain evidence, and report governance to boards. Its modules connect inventory, regulatory mapping, human oversight, agent governance, evidence, risk and incident management, board reporting, trust readiness, intelligence signals, governance operations, and enablement. It starts with structured dashboards, templates, processes, and expert operation without dedicated software procurement or an implementation project.

• Map AI Systems Across The Organization
  Creates a central inventory of AI systems and vendors for governance visibility.
• Maintain Traceable Governance Evidence
  Keeps decision records and approvals organized so the organization can demonstrate active governance.
• Classify Systems Against Applicable Requirements
  Connects obligations and risk classification to individual systems so organizations can understand exposure and governance requirements.
• Deliver Reports And Track Trust Readiness
  Translates governance activity into executive reporting and shows evidence readiness and certification gaps.
• Start Governance Without Software Procurement
  Begins governance operations using expert support and structured materials without waiting for dedicated software.
• Track Oversight And Govern Agent Actions
  Makes human accountability visible and supports controls for agent permissions, risk levels, and escalation.
• Track AI Risks And Incidents
  Brings incidents and identified AI risks into a structured view for escalation and ongoing governance.
• Coordinate Governance And Capability Building
  Coordinates routine governance work and tracks training and role readiness.
• Monitor Regulatory And Industry Signals
  Brings developments and emerging governance risks into the recurring operating rhythm.

AIGN Trust Label

The AIGN Trust Label is a private, evidence-based governance signal that makes an organisation’s AI governance reviewable and visible. Its structured assessment examines governance evidence such as AI inventory, accountability, risk assessment, human oversight, documentation, third-party governance, monitoring, and board reporting. Label pathways cover enterprises, regulated sectors, educational institutions, and AI vendors. The label is not a legal certification, regulatory approval, or substitute for statutory audits. The vendor assessment reviews governance evidence and readiness, while the Education Trust Label provides an institutional credential with an application and commitment process, optional evidence validation, a DOI-linked certificate and badge, public registry listing, and annual renewal.

• Show Governance Across Eight Dimensions
  Presents a structured view of how AI governance is organised and evidenced, from inventory and accountability to monitoring and board reporting.
• Substantiate Governance With Evidence
  Makes governance practices reviewable and defensible through structured evidence review rather than relying only on policies or self-declarations.
• Demonstrate Reviewed Vendor Governance
  Gives vendors a structured external review and addresses governance questions raised by enterprise buyers and third-party risk teams.
• Demonstrate Responsible Education AI Governance
  Gives education stakeholders a visible credential recognising an institution’s responsible AI practices.
• Choose A Label For Your Context
  Offers pathways suited to organisational governance, regulated environments, education, or vendor governance.
• Make Governance Credentials Verifiable
  Provides public-facing credentials and verification options that let stakeholders check the relevant AIGN assessment and label.
• Demonstrate Alignment With Relevant Frameworks
  Connects governance evidence with relevant regulatory and standards expectations.
• Identify Vendor Readiness And Gaps
  Provides a clear assessment outcome and findings to help vendors understand readiness and areas requiring attention.
• Present Governance Evidence To Buyers
  Enables qualifying vendors to present an evidence-based trust signal and, where selected, additional procurement and sales materials.
• Complete An Education Credential Pathway
  Follows a defined process from application and commitment through optional document review and credential issuance.
• Support Education Governance Practice
  Provides practical materials and a stated basis for alignment with named international principles, standards, and regulatory requirements.
• Maintain Current Credential Status
  Defined renewal and re-validation processes help keep label status and supporting evidence current.

AIGN Education Operating System (AIGN EOS)

AIGN EOS is an operational, auditable, and certifiable governance architecture for educational AI, particularly AI decisions affecting children. It applies the AIGN OS architecture to education through seven governance layers, connecting use-case intake, risk assessment, policy controls, human oversight, decision records, transparency, monitoring, and trust pathways. Its components are designed to help schools, universities, and education authorities govern AI across its lifecycle, with alignment to frameworks and requirements including the EU AI Act, GDPR, UNESCO, and OECD principles.

Category: AI Governance Software

• Assess And Classify Educational AI Use Cases
  Identifies purpose and risk before deployment, with documented impact assessment for high-risk use cases.
• Record And Reconstruct AI Decisions
  Provides traceable evidence for review, audit, contestation, and certification, including how a decision was reached and what followed.
• Enable Human Review And Documented Remedies
  Supports human intervention in high-stakes decisions and documented processes for reviewing complaints and correcting systems.
• Enforce Rules Before AI Interactions
  Makes institutional rules operational by checking them before interactions and recording whether they were allowed or blocked.
• Monitor Risk, Bias, Drift And Equity
  Helps institutions identify bias, system drift, incidents, and changes in equity indicators.
• Govern Education AI Across Its Lifecycle
  Connects institutional purpose, risk, privacy, evidence, transparency, oversight, and lifecycle governance.
• Explain Decisions And Apply Privacy Controls
  Makes explanations available to education stakeholders and supports records of disclosure, consent, and specified data-handling controls.
• Track Maturity And Map Education Standards
  Supports monitoring of maturity and Trust Label status and provides a stated basis for alignment with education-related requirements and frameworks.
• Use Education-Specific Governance Tools
  Provides named risk, curriculum, legal, and consent tools, including offline materials for schools with limited IT infrastructure.

AIGN SME & Startup AI Governance Framework

A practical, certifiable AI governance framework designed for startups and SMEs, including those building or deploying agentic and autonomous AI. Its modular tools support readiness assessment, risk management, oversight, incident response, data governance, and stakeholder feedback. The framework is mapped to the EU AI Act, ISO/IEC 42001, and GDPR, and offers a staged pathway from self-assessment to an AIGN Engagement Certificate and Global Trust Label.

• Assess And Bound Agentic AI
  Helps SMEs assess readiness and define agent goals, oversight, escalation, and action boundaries.
• Map Readiness And AI Boundaries
  Applies practical canvases to assess risk and make oversight boundaries and prohibited behaviours explicit.
• Scale Governance As You Grow
  Lets organisations start with a right-sized set of tools and expand governance over time.
• Progress Toward Governance Recognition
  Follows a staged route from readiness assessment to AIGN recognition as the organisation develops.
• Manage Incidents And Document Data Practices
  Supports incident handling, stakeholder feedback, and documentation of data provenance, copyright, and consent.
• Structure Governance And Maintain Change Records
  Combines five governance pillars with lightweight versioning and change logs.
• Apply Sector Guidance And Access Peer Support
  Provides industry blueprints, community access, best practices, and updates.

AIGN Governance Culture Framework

AIGN’s programme helps organisations assess, develop, and measure AI governance culture. It combines leadership alignment, a five-level maturity assessment, stakeholder co-creation, tailored playbooks, training, feedback structures, and ongoing KPI measurement. Organisations can benchmark progress and optionally pursue the AIGN AI Governance Culture Label.

• Benchmark Culture Maturity
  Identifies organisational culture maturity and can incorporate external perspectives.
• Align Leaders And Create A Tailored Playbook
  Translates leadership and stakeholder input into shared goals and practical organisational guidance.
• Equip Teams To Apply Responsible Practices
  Uses learning and case studies to help teams apply responsible AI practices.
• Establish Feedback And Escalation Channels
  Creates structures for raising concerns and discussing ethical dilemmas.
• Measure And Track Culture Progress
  Follows cultural progress over time and can make maturity visible through an optional label.
• Benchmark Against International Practices
  Supports comparison and learning across regions while accounting for local context.

AI Governance Intelligence Hub

The AIGN AI Governance Intelligence Hub brings together the AI Governance Briefing, AIGN ASGR Index, and specialised industry, functional, technology, and board and audit radars. It helps organisations interpret developments, assess systemic readiness and maturity, monitor governance exposure, and translate findings into practical action, evidence, and defensible decisions. Organisations can select products according to their governance questions or combine them into an AI Governance Intelligence Desk.

Category: AI Governance Software

• Connect Governance Intelligence Products
  Provides access to briefing, readiness assessment, and specialised exposure radars through one product hub.
• Measure Readiness And Identify Gaps
  Provides structured readiness and maturity views, clarifies evidence status, and supports gap prioritisation over time.
• Strengthen Oversight And Audit Readiness
  Supports board and audit oversight with material risks, control status, evidence expectations, and recommended decisions.
• Understand Developments And Prioritise Actions
  Turns recurring governance developments into executive-ready interpretation and practical near-term actions.
• Assess Sector-Specific Governance Exposure
  Shows how AI governance exposure and practical responses vary across industries.
• Clarify Departmental Responsibilities
  Helps functions identify owners, relevant controls, evidence, and practical next steps.
• Monitor Technology Governance Exposure
  Identifies governance implications and control questions arising from relevant AI platform and system changes.
• Choose A Relevant Intelligence Entry Point
  Guides users to a relevant product according to their current governance question.
• Combine Products Into One Intelligence Desk
  Brings briefing, readiness, exposure monitoring, and oversight products together.

AI Governance Risk Quantification Quick Scan (AI-GRQ)

The AI-GRQ Quick Scan translates AI use-case exposure, organisational role, jurisdiction, industry, and governance maturity into a board-oriented risk signal and simulated exposure range. Users enter company context and select AI applications, with optional professional evidence inputs. Results can include risk drivers, exposure estimates, residual exposure, risk-reduction potential, readiness indicators, and a 30-, 60-, and 90-day roadmap. The scan provides indicative screening output only; it is not legal advice, certification, audit assurance, insurance pricing, or a guaranteed loss amount.

• Quantify AI Governance Exposure
  Relates selected use cases to organisational context and provides a board-oriented risk signal and simulated range.
• Assess Evidence And Compare Scenarios
  Shows modeled exposure indicators alongside evidence inputs to support review of risk and potential reduction.
• Identify Risk Drivers And Readiness
  Highlights risk, maturity, and readiness considerations for selected applications.
• Prioritise Governance Actions
  Helps organise suggested governance priorities following the screening.
• Share And Validate Scan Findings
  Enables sharing of results and continuation from indicative screening to a reviewed interpretation or fuller readiness assessment.

AIGN Circle

AIGN Circle is a curated, controlled-access reference connecting organisations with governance-ready AI professionals and giving professionals legitimate positioning without market noise. It is designed for situations where human judgment and accountability matter, including regulatory pressure and board-level decisions. Its AIGN Sparring offering provides curated, sector-specific peer groups where practitioners test governance reasoning through structured challenge. AIGN Circle is not a marketplace, consulting firm, recruitment platform, or open community.

• Access Vetted Governance Professionals
  Provides access to professionals selected for judgment and accountability without relying on an open marketplace.
• Keep Human Judgment At The Centre
  Supports situations where tools and frameworks cannot replace human judgment and responsibility.
• Find Relevant Sector Peers
  Enables structured challenge with peers who understand similar industry conditions and regulatory pressures.
• Stress-Test Governance Decisions With Peers
  Uses structured peer questioning to examine live problems, expose strategy gaps, and assess regulatory changes before external scrutiny.
• Position Expertise Without Market Noise
  Offers professionals a way to be found based on judgment rather than online reach.
• Schedule Regular Peer Challenge
  Provides recurring dedicated sessions for examining governance challenges.

AIGN Talent

AIGN Talent is a specialist network for AI Governance, Data Governance, and Regulatory professionals. AIGN practitioners review candidate profiles and employer roles, then match candidates with permanent, interim, or fractional opportunities based on regulatory scope, industry background, operating-model experience, and availability. Candidates receive vetted role briefings and profile guidance; employers can request qualified shortlists, structured introductions, and subscription access to the candidate pool.

• Find Vetted Governance Talent
  Connects employers with candidates whose experience is reviewed and matched to role requirements.
• Fill Permanent And Flexible Roles
  Matches governance needs with permanent hires, interim specialists, fractional professionals, or longer-term mandates.
• Prepare Both Sides For Introductions
  Gives candidates and employers context before they meet.
• Access Candidate Support And Introductions
  Provides candidates with profile and role support and employers with access to profiles, introductions, and hiring information.
• Source Specialists Across Governance Domains
  Supports searches across AI and data governance, regulatory implementation, privacy, compliance, risk, audit, and assurance.
• Align Placement Fees With Successful Hires
  Uses a success-based placement model with candidate briefings and a stated replacement guarantee.

AIGN Junior AI Governance Research Fellowship

An eight-week, fully online, English-language mentored research cohort for students and early-career professionals. The founding cohort investigates AI governance in higher education, focusing on accountability, human oversight, and evidence for AI-influenced learning or assessment decisions. Participants define a bounded research question, build a traceable source base, analyse a governance gap, and develop a Research Brief or Governance Gap Analysis. The programme includes two written review rounds with the Research Lead. Participants retain authorship of their work. Successful participants receive an AIGN Junior Certificate of Contribution, which is not an academic degree or accredited certification.

• Investigate Higher Education Governance Gaps
  Participants work on a defined question about making AI-assisted decisions traceable, reviewable, and accountable.
• Create An Original Research Work Sample
  Produces a tangible participant-authored work sample for potential professional use.
• Build A Structured Research Process
  Guidance helps participants turn a broad issue into a bounded, evidence-based research output.
• Strengthen Work With Expert Feedback
  Provides direct feedback as participants develop and refine their research.
• Ground Findings In Traceable Sources
  Supports research arguments grounded in identifiable materials.
• Fit Research Around Your Schedule
  The online format and stated weekly commitment support participation alongside other commitments.
• Document Successful Cohort Completion
  Recognises successful completion while distinguishing the certificate from an academic degree or accredited certification.

The AI Governance Gap Brief

A monthly LinkedIn newsletter by Patrick Upmann for boards, senior leaders, and compliance teams. Each issue examines one structural gap between how organisations deploy AI and how governance, accountability, and regulation work. The archive groups analysis into technology and AI systems, organisation and culture, and regulation and liability.

• Understand One Governance Gap Each Month
  Provides focused analysis of a specific structural AI governance gap rather than general framework theory.
• Explore Technology, Organisation, And Regulatory Gaps
  Lets readers explore governance issues across AI technologies, organisational practices, and regulation and liability.
• Subscribe And Browse Past Issues
  Readers can subscribe and explore the published archive by governance theme.
• Focus Analysis On Governance Decision-Makers
  Frames analysis for people involved in AI governance decisions and responsibilities.

AIGN Research

AIGN Research conducts applied research on machine authority, defensible autonomy, and AI governance in critical infrastructure and other high-consequence environments. It studies how AI-enabled systems can be granted bounded authority while keeping their actions controllable, accountable, and supported by evidence. Its work connects governance, operational risk, technical controls, and institutional oversight through conceptual analysis, scenario-based investigation, governance architecture, regulatory analysis, and applied validation. Outputs may include working papers, reference architectures, technical and regulatory analyses, and practitioner-oriented publications.

• Define Bounded And Accountable AI Authority
  Clarifies conditions under which AI-enabled systems may act while remaining bounded, controllable, and accountable.
• Translate Governance Into Operational Controls
  Examines requirements and records that support operational oversight, intervention, auditability, and reconstruction.
• Address Governance In High-Consequence Environments
  Examines critical infrastructure and essential services with attention to safety, resilience, human accountability, and delegated machine authority.
• Maintain Accountability Across Boundaries
  Addresses distributed accountability where interconnected systems and institutions span sectors or jurisdictions.
• Develop Governance Models And Research Outputs
  Produces governance architectures and research materials intended to contribute to practice across organisational and technological contexts.
• Evaluate Authority Models Against Practical Conditions
  Connects scenario investigation and applied validation to operational conditions and applicable requirements.