Crosswalk pair

ESG Essentials and NIST AI Risk Management Framework, control by control

1 canonical control in Keel’s library satisfies clauses of both ESG Essentials and NIST AI Risk Management Framework. Implement each once, attach the evidence once, and it counts toward each standard. The overlap is the work you don’t repeat.

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ESG Essentials counts as one of your plan’s paid frameworks, or from $19/mo as an add-on. NIST AI Risk Management Framework counts as one of your plan’s paid frameworks, or from $19/mo as an add-on. See plans and pricing.

The overlap

What the two libraries have in common

Every figure here counts canonical controls in Keel’s library, not clauses of either standard. Each standard’s own authored count is on its framework page.

1

Controls that satisfy both

Canonical controls that crosswalk to at least one clause of each.

37

In Keel’s library for ESG Essentials

3% of them also map to NIST AI Risk Management Framework.

27

In Keel’s library for NIST AI Risk Management Framework

4% of them also map to ESG Essentials.

1

Evidence artifacts expected

Across the shared controls, from Keel’s evidence guidance. Gathered once.

ESG Essentials 1.1 3%

1 control of 37 in Keel’s library for ESG Essentials also maps to NIST AI Risk Management Framework.
NIST AI Risk Management Framework 1.0 4%

1 control of 27 in Keel’s library for NIST AI Risk Management Framework also maps to ESG Essentials.

The mapping

Controls that satisfy both

Each row is one control in Keel’s library and the clauses it answers on each side. Do the work once; both columns are then evidenced by the same artifacts.

ESG Essentials and NIST AI Risk Management Framework controls that satisfy both, with the clauses each maps to
Canonical control	ESG Essentials clauses	NIST AI Risk Management Framework clauses
Energy, emissions & resource use tracking Regular measurement of energy consumption, an operational (Scope 1 & 2) greenhouse-gas inventory, and metering of the other material resources the business consumes, such as water. Where the organization trains, tunes or runs AI models, the environmental impact and sustainability of that work is assessed and documented on the same terms as the rest of its consumption - the energy and compute drawn by training and retraining, what serving the model in production adds on top, and where that sits against the organization’s own targets - so a footprint created by a model rather than by a building is measured rather than left as somebody else’s.	E.2, E.3, E.5	MEASURE-2.12

Beyond the pair

Where else this work counts

A framework is lit when a shared control above also maps to it. Unlit means none of them do, which is an absence rather than a judgment about that standard.

Also reached by this control

AI Governance Essentials not reached
Amazon Appstore Child-Directed Apps not reached
Apple App Store Kids Category not reached
CIS Critical Security Controls not reached
COPPA not reached
EU AI Act not reached
FedRAMP 20x not reached
FedRAMP Consolidated Rules not reached
FedRAMP Rev5 Class B not reached
FedRAMP Rev5 Class C not reached
FedRAMP Rev5 Class D not reached
GDPR not reached
Google Play Families not reached
HIPAA not reached
ISO 9001 not reached
ISO/IEC 27001 not reached
ISO/IEC 42001 not reached
NIST Cybersecurity Framework not reached
NIST SP 800-171 not reached
NIST SP 800-53 not reached
PCI DSS not reached
PIPEDA not reached
SOC 2 not reached
SOX (Sarbanes-Oxley) Section 404 not reached
US Employment Law - Federal Baseline not reached

Nearby pairs

The thesis

Why this is one project, not two

On a crosswalk-native model, NIST AI Risk Management Framework mostly lights up controls you already built for ESG Essentials. You’re not re-uploading the same screenshot for a second audit. You apply the framework and see the genuine delta worth working. That’s the whole idea behind collect once, comply everywhere.

Next step

Add NIST AI Risk Management Framework to the work you already did

Apply both frameworks in one workspace and see the overlap measured against the controls you already hold.

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