New global standard for knowing where AI operates, how it works, and how independently it makes decisions.
Explore FrameworkThree words that explain nothing.
Ambiguity isn't neutral. It costs trust, creates liability, and makes oversight nearly impossible.
MIHR resolves all three.
of consumers distrust brands that can't explain AI decisions
in annual economic value at risk from unaccountable AI systems
countries with pending or active AI regulation — all need a standard
When people can't understand what AI controls, they lose confidence in entire platforms — not just individual features.
Organisations face mounting legal risk they cannot isolate or defend against without granular AI disclosure records.
Regulators attempt enforcement against a moving target — without standardised vocabulary, compliance is impossible to verify.
Machine Intelligence Human Ratio • Live Intelligence & Global Updates
Machine Intelligence Human Ratio — The Global AI Transparency Standard
MIHR is a comprehensive transparency and governance ecosystem that solves AI opacity across three integrated pillars:
WHE Framework
A standardised labeling protocol declaring Where AI operates, How it functions, and to what Extent it acts autonomously — turning vague disclosures into accountable facts.
Enterprise Oversight
Organization-wide AI landscape discovery, shadow AI detection, autonomy classification, and centralized dashboards for complete operational governance.
Omni-Guard AI
A forensic detection platform that analyses video, audio, images, and documents for AI-generated or manipulated content — producing auditable probability reports.
Patent # 1034Y granted by a member of WIPO and Paris Convention.
MIHR is a standardized labeling framework that maps exactly where AI is applied, how it functions, and how independently it acts — turning transparency from a promise into a verifiable fact.
Every label is granular and actionable and provides three dimensions of operational transparency.
Identifies the business domain or departmental silo where the AI is active.
Examples:
Identifies the technical capability and underlying technology in use.
Examples:
Defines the human vs. machine decision-making power for every function on a 5-grade scale.
Examples:
Explore how verifiable AI transparency unlocks competitive advantages across consumers, enterprise organizations, and governance regulators.
Customers who know exactly where AI operates — not just that it exists — make informed decisions and reward transparency with loyalty.
Know exactly which AI is active, in which domain, and how much autonomy it holds — not just that 'AI is used somewhere.'
Declaring where AI operates turns mystery into trust. Customers choose providers with clear, verifiable AI labels over black-box competitors.
Transparency Manifests allow customers to understand, query, and in some jurisdictions opt out of specific AI processes affecting them.
When outcomes are disputed, labelled AI systems give customers a clear audit trail — making accountability processes faster and fairer.
MIHR doesn't just satisfy regulators — it turns transparency into a brand signal, a liability boundary, and a market passport all at once.
Declaring where AI operates turns mystery into trust. Position as 'Privacy-First' and 'Human-Centric' — a premium tier that attracts ethics-conscious enterprise clients.
Autonomy labels draw a clear legal boundary. If bias is discovered in one domain, the audit is surgically isolated — not the entire technology stack.
Map automation density across departments. Identify where humans are over-taxed by Level 1 tasks — and where AI autonomy exceeds safe quality thresholds.
One Transparency Manifest satisfies EU AI Act, US guidelines, and future mandates — enter any regulated market without rebuilding documentation from scratch.
Governance principles without a shared taxonomy remain aspirational. MIHR is the instrument that makes them operational — across jurisdictions, sectors, and entities.
Every MIHR-labelled organisation can instantly export a full Transparency Manifest — a structured map of all AI deployments, domains, and autonomy levels ready for regulatory inspection.
The Extent dimension aligns directly with the EU AI Act's risk tiers. Regulators can triage organisations by autonomy level without bespoke investigation — dramatically reducing enforcement costs.
A single MIHR standard enables mutual recognition between jurisdictions. National regulators can accept MIHR-certified Manifests as proof of compliance, reducing multi-country audit duplication.
Aggregated MIHR data reveals where AI autonomy is concentrated across sectors — giving governments early-warning capability for systemic risks before they become crises.
See how the WHE Framework maps operational boundaries, establishes doctor oversight in clinical triage, and isolates liability in financial risk modeling.
Enterprise AI Landscape Discovery, Autonomy Mapping & Algorithmic Oversight
A unified governance, risk, and compliance intelligence layer that connects systems, business functions, and autonomy boundaries — transforming opaque AI operations into accountable, audit-ready operational assets.
• Cross-Functional Landscape & Autonomy Telemetry
The AI Intelligence Dashboard brings these dimensions together into a single view. Instead of fragmented inventories, isolated assessments and disconnected compliance documents, organisations gain a structured picture of:
Build a structured view of your organization’s AI landscape—connecting AI systems, business functions, technologies, use cases, ownership and operational roles into a unified intelligence profile.
Identify AI systems and AI-enabled processes across the organization, including undocumented, decentralized and emerging uses that may sit outside formal inventories.
Make AI operations visible. MIHR documents where AI operates, how it functions and the extent of its autonomy using the WHE Framework and MIHR Transparency Manifest.
Determine how decision authority is distributed between domains. MIHR maps each system against a structured autonomy scale, making human oversight and machine authority explicit.
Establish who is responsible for AI systems, decisions and outcomes across the AI lifecycle—linking systems to owners, operators, decision-makers and affected business functions.
Detect and investigate AI use operating outside approved inventories, policies or technology environments—revealing unmanaged AI exposure before it becomes an operational or governance problem.
When AI produces an unexpected outcome or failure, trace what happened across the AI–human system—identifying contributing systems, decisions, dependencies and points of failure.
Conduct a structured assessment of the organization’s AI environment to identify gaps in visibility, governance, accountability, autonomy controls and operational oversight.
Multi-Modal AI Detection for Video, Audio, Images & Documents
Omni-Guard analyses content streams for synthetic AI attributes, generative frame footprints, and structural anomalies — providing precise AI usage probabilities and multi-layered confidence scores.
Omni-Guard delivers comprehensive AI usage probability across audio, video, images, and text. Each analysis provides exact manipulation timestamps, generative frame metrics, and multi-layered confidence scores.
Contact Us to Subscribe for Service
AI Label & AI Intelligence PlansComprehensive packages for growing portfolios and enterprise teams |
AI Labeling
1999 EUR
949 EUR / add. manifest
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AI Intelligence
18999 EUR
949 EUR / add. manifest
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Custom Plan
999 EUR
999 EUR Base (1
Manifest)
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| Services Included in all Packages |
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| Subscription Type | Annual | Annual | Annual |
| AI Transparency Manifests Included | 1 manifest | 1 manifest |
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| AI Discovery | |||
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| AI Accountability | |||
| AI Intelligence Dashboard | |||
| Shadow / Hidden AI | 1 Case included |
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| AI Root Cause Analysis (RCA) | 1 Case included |
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| AI Audit | 1 Audit included |
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| API Integration Access | |||
| Apply AI Labeling | Apply AI Intelligence | Apply Custom (999 EUR) | |
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Collaborates with us to drive innovation, expand market reach, and build long-term shared success.
Deliver MIHR's AI transparency verification infrastructure directly under your own organization's branding.