EW-AiRM™ · Interactive Cube

Explore the framework, layer by layer.

Three layers. Six pillars. Seven HAiPECR dimensions. Eight AI Black Swan categories. Click any element to see what it governs and why it sits where it does.

How to use?

Click any face, layer or element to open its detail: what it is, the question it answers, how it connects to the rest of the framework. No sequence, no account needed.

What's inside?

The three layers, the six Strategic-Layer pillars, the MIT taxonomy's seven domains, the eight AI Black Swan categories, the seven HAiPECR dimensions as the filter running across all three.

Not sure where to start?

New to EW-AiRM™? Start with the three outer layers. Already read the book? Jump to HAiPECR. Trying to place a specific risk? Start in the Operational Layer's seven domains.

Or, go even deeper!

→ Read the full architecture on Framework
→ Run the free Assessment
→ See the eight AI Black Swan categories explained in Insights

EW-AiRM™ Assessment Tool — Demo (Lite)

What this is. A live demo of the EW-AiRM™ Assessment Tool. Pick a tier below to see how the assessment depth changes with organisational exposure. Answer the questions to generate a board-level snapshot of AI risk posture.

What this is not. The production tool runs 109 questions across the four EW-AiRM™ layers. This demo shows a curated subset — enough to evaluate the method and to teach it, not enough to substitute for the full assessment.

109questions in the production tool, across four layers
66Strategic · 6 pillars, 27 assessment dimensions
21HAiPECR · 7 ethical dimensions
10Operational · MIT FutureTech domains
12Resilience · 8 AI Black Swan categories
Step 1 · Choose your tier
EW-AiRM™ scales with organisational exposure. Switch tiers to see questions appear and disappear.
Always-on filter

The Five Non-Negotiables

These five conditions apply at every tier. Any one of them at a failing status overrides the composite score and forces an F-Critical posture — the framework does not let a poor Non-Negotiable hide behind a good Risk Posture Index.

01

Strategic Layer

Six pillars covering the governance decisions made before and around AI deployment. Production tool: 66 questions across 27 assessment dimensions. This demo shows up to 8.

02

HAiPECR Ethical Filter

Seven dimensions (Human oversight, Accountability, inclusivity, Privacy, Explainability, Conduct, Responsibility) applied across all three EW-AiRM™ layers. Production tool: 21 questions. This demo shows up to 8.

03

Operational Layer

Risk identification built on the MIT FutureTech AI Risk Repository (7 domains, 24 subdomains). Production tool: 10 questions plus the four-quadrant risk register. This demo shows up to 3.

04

Resilience Layer

Eight AI Black Swan categories: low-probability, high-consequence events that traditional risk registers miss. Production tool: 12 questions plus the resilience governance framework. This demo shows up to 3.

Output

Board-Level Snapshot

Risk Posture Index
Standard tier
0
Low
0
Medium
0
High
0
Unacceptable
Non-Negotiables status
Strategic
HAiPECR
Operational
Resilience
Answer the assessment to generate a verdict. The board snapshot updates live as you respond.
Beyond the demo

What the production tool adds

This demo shows the question logic and the output. The production EW-AiRM™ Assessment Tool is a working instrument built for evidence, audit, and the boardroom. Everything below is in the full version and deliberately held back here.

SL/PL1/Q3Std+LOW

The full question set

All 109 questions across the four layers, each with a reference code (for example SL/PL1/AD2/Q3), an applicable-tier marker, and a cumulative “expected at this tier” maturity descriptor.

CSE

Cumulative tier scoring

A Yes / No response, then a tier-specific maturity selection. Tiers are cumulative: an Enterprise assessment carries the Core and Standard questions beneath it, scored as one.

Auto: HighSet: MediumOVRcomment: residual covered by vendor SLA

Override & audit trail

Every auto-calculated risk can be overridden with a mandatory comment. Overrides are flagged (OVR) and retained, so the assessment carries its own defensible audit trail.

PL3 / Q6N/Aexcluded — rationale recorded

Formal exclusions

Criteria that genuinely do not apply can be formally disabled, each with a recorded rationale, so the score reflects scope rather than silent omission.

Risk fingerprint

The Board Report renders a risk fingerprint: every assessed criterion as a colour-coded cell, so the whole posture reads as one signature you can compare across time, business units, or AI systems.

Board & detailed reports

A board-ready report and a full detailed report, each generated from the live data, with radar dashboards for the portfolio risk profile and the risk profile by layer.

F-CRITICALRPI 55 — overridden

F-Critical override

Any Non-Negotiable at a failing status overrides the composite score and forces an F-Critical posture. Governance basics cannot be averaged away.

DOCXPDFJSONoffline

Export, offline, private

Export to Word, PDF, or JSON. A single self-contained file: no install, no server, no cloud. The assessment never leaves the device it runs on.

fx=IF(resp="No","Unacceptable",LOOKUP(...))RefQRespTierRisk

Excel sibling

A companion scoring workbook with 485 transparent formulas, for audit and procurement teams who want to see the calculation rather than trust it.

© 2026 De-Risking Solutions Ltd. EW-AiRM™ and HAiPECR are trademarks. Demo content; not for distribution.
The assessment tool will also be available via the MAESTRO AI Governance Consortium (in formation).
human-ai.institute · Listed on OECD.AI Policy Observatory

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The fastest way to understand EW-AiRM™ is to run an assessment against an AI use case you already know.