THREE TIERS
EW-AiRM™ is designed to scale from a startup with one production AI system to a global enterprise with hundreds. The framework is the same. The depth of implementation differs.
ENTRY
For startups and scale-ups with limited AI deployment
Six pillars applied at conceptual level
HAIPECR run as a pre-deployment filter
Top-tier MIT risks only (Primary mappings)
One named accountable owner per system
Quarterly review cycle
Self-assessment using the Maturity Tool
RECOMMENDED
For mid-market firms and regulated SMEs
All six pillars with documented evidence
HAIPECR pre-deployment + continuous review
Primary + Secondary MIT mappings
Two-line accountability (system + risk owner)
Six AI Black Swan categories rehearsed
Monthly KXI dashboard, quarterly board pack
ENTERPRISE
For global enterprises and systemically important institutions
All six pillars with second-line review
HAIPECR audit trail per deployment
Full Primary / Secondary / Tertiary mappings
Three-line accountability + board sponsor
All eight Black Swan categories annually
Weekly KXI, monthly risk, quarterly board
FLOOR CONDITIONS
1
Named accountability for every deployed AI system
2
HAIPEICR run as a pre-deployment filter, documented
3
Human override capability tested with a 4-hour SLA
4
Documented board or executive risk acceptance
5
Incident reporting pathway, with named recipient
The Maturity Assessment Tool will tell you in 20 minutes. Free, runs in your browser, nothing leaves your machine.
The Human-Ai.Institute is an independent Think/Do Tank convening multilateral and multi-stakeholder dialogue on AI governance. The Institute engages with the UN, UNESCO, OECD, the EU Commission, and governments worldwide.
Home of EW-AiRM™ — the open, three-layer framework for enterprise-wide AI risk management, grounded in publicly licensed standards and aligned with UNESCO, UNECE, NIST, ISO, and the EU AI Act.
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Commercial consulting, training, and advisory services are provided by De-Risking Solutions Ltd. and RiskAi.Ai
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