SETTING GLOBAL STANDARDS FOR TRUSTED AI CREDENTIALSAI Competence Framework v1.29 · current release
AI Certification Standards
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D6.L3.07ACTIVESTABLED6 Evaluation and assurance · L3 Proficient

Design production monitoring that detects drift, degradation and emerging failure modes.

Type Skill · introduced in version 0.1

Performance indicators

Normative. These state what would be observed in a person who holds the statement.

Selects signals that would move before harm occurs, not after
Sets thresholds that trigger action rather than notification alone
Provides for failure modes not anticipated at design time
Evidence examples

Non-normative. Illustrative of evidence an awarding body might accept; not a required form.

A worked artefact produced in the course of normal duties, with the reasoning recorded at the time
Attestation by a competent supervisor against the indicators above, not against a general impression
Relationships

Assumes

Statements a candidate is taken to hold already. Never at a higher level than this one.

This statement assumes no other statement. It is a starting point within its domain.

Assumed by

Derived inverse. Statements that take this one as given.

No published statement assumes this one at version 1.29.

Related

Cross-domain relationships, stated in both directions and typed in the content model.

D4.L3.01

Design an automated AI workflow, stating where human judgement is required.

D4.L3.02

Design error handling for an unattended AI step.

D4.L3.03

Design the observability of an automated workflow.

D4.L3.04

Assess the blast radius of an automated step and constrain it.

D4.L3.05

Design an AI system that acts across multiple steps, with authorisation boundaries.

D4.L3.06

Diagnose a fault in a multi-step automated workflow.

D4.L3.07

Evaluate whether automation is warranted for a given process.

D4.L3.08

Design the rollback of an automated workflow and its effects.

O2.L3.05

Measure the effect of AI adoption on the work, not on tool usage.

Referenced by

Entries on the register of conformance claims whose coverage map cites this statement.

No entry on the register cites this statement. This block is populated from the coverage maps of register entries as they are listed.

Provenance
IntroducedVersion 0.1
Last modifiedNot modified since introduction
Statusactive · stable
Version displayedv1.29
Permanent URLaicertificationstandards.org/framework/statements/D6.L3.07
Cite this statement

AI Certification Standards (2026) AICF D6.L3.07, D6 Evaluation and assurance, version 1.29. Available at aicertificationstandards.org/framework/v1.29/statements/D6.L3.07 (accessed date).

Propose an amendment

Statements change through the published process, not by correspondence

An amendment to this statement, its indicators or its relationships is proposed through the contribution process. Every submission is answered on the record, and the reasoning for acceptance or rejection is published in the release record for the version that follows.

Propose an amendment to D6.L3.07

Writing rules and the controlled verb list that govern how this statement is worded are published in the methodology.

This page displays version 1.29 · last reviewed 30.08.2026