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Every agent · Workflow automation and internal agents · Copy.ai

Copy.ai

Started as a copywriter and now runs go-to-market workflows that write into connected systems.

executes autonomously
acts on
configurable
human in the loop by default
yes
data leaves the tenant by default
CRM and marketing systems connected to its workflows
reaches by default

What that means for the register

It executes on its own, so it needs the controls of an account that acts: a log you can read, a scope in writing, and a person who can switch it off. Data leaves your tenant to the vendor by default. Pasted with only its name it lands as control until an owner is named.

This week

Check which CRM connection it holds and whether it writes records.

What holding it is evidence for

Requirement text and artefacts from a human-verified corpus licensed to Agent Register.

Agents that execute without approval ISO 42001 A.6.2.6 · ISO 42001 A.9.4 · ISO 42001 A.6.2.8 · EU AI Act Art.14 · EU AI Act Art.26 · EU AI Act Art.12
ISO 42001 A.6.2.6 AI system operation and monitoring

AI systems shall be operated and monitored according to organizational and operational requirements throughout their lifetime. Operational guidance shall be available to operators.

Evidence an auditor accepts: Operations runbooks; Monitoring dashboards; Incident logs
ISO 42001 A.9.4 Intended use of the AI system

The organization shall ensure that the AI system is used according to the intended uses of the AI system and its accompanying documentation.

Evidence an auditor accepts: Intended use statements; Use case approval records; Monitoring of use
ISO 42001 A.6.2.8 AI system event logging

Event logs shall be generated and recorded during AI system operations to enable monitoring, accountability, and incident investigation.

Evidence an auditor accepts: Logging standards; Log samples; Log retention policy
EU AI Act Art.14 Human oversight

High-risk AI systems shall be designed and developed in such a way that they can be effectively overseen by natural persons during the period in which they are in use. Oversight measures shall enable persons to understand the relevant capacities and limitations and monitor operation, remain aware of...

Evidence an auditor accepts: Human-oversight design (UI, controls, alerts); Oversight-personnel training and authority
EU AI Act Art.26 Obligations of deployers of high-risk AI systems

Deployers shall use high-risk AI systems in accordance with the IFU; assign human oversight to appropriately competent natural persons; ensure input data is relevant and sufficiently representative; monitor operation and inform the provider of risks/incidents; retain automatically generated logs for...

Evidence an auditor accepts: Deployer monitoring records; Logs retained at least 6 months; DPIA where applicable
EU AI Act Art.12 Record-keeping (logs)

High-risk AI systems shall technically allow for the automatic recording of events (logs) over the lifetime of the system, ensuring a level of traceability appropriate to the intended purpose; logging capabilities for biometric remote-identification AI systems include the period of each use, the ref...

Evidence an auditor accepts: Logging capability design evidence; Log-retention policy aligned with the intended purpose
Data leaving the tenant to a model vendor ISO 42001 A.10.3 · ISO 42001 A.4.3 · ISO 42001 A.7.3 · ISO 42001 A.10.2 · EU AI Act Art.10 · EU AI Act Art.25
ISO 42001 A.10.3 Suppliers

Establish a process ensuring that the organization's use of services, products or materials provided by suppliers aligns with its approach to the responsible development and use of AI systems.

Evidence an auditor accepts: supplier assessment criteria covering responsible AI; completed assessments for AI suppliers including model, dataset and component providers; contract terms binding suppliers to the organization's AI requirements
ISO 42001 A.4.3 Data resources

As part of identifying resources, the organization shall document information about the data resources utilized for the AI system.

Evidence an auditor accepts: Data inventory; Data lineage records; Datasheets
ISO 42001 A.7.3 Acquisition of data

The organization shall determine and document details about the acquisition and selection of data used in AI systems, including provenance and consent where applicable.

Evidence an auditor accepts: Data acquisition records; Provenance documentation; Consent records
ISO 42001 A.10.2 Allocating responsibilities

Ensure responsibilities across the AI system life cycle are allocated between the organization, its partners, suppliers, customers and third parties.

Evidence an auditor accepts: RACI or equivalent covering each life cycle stage and each external party; contract clauses that state who is accountable for what; evidence the allocation is reviewed when the arrangement changes
EU AI Act Art.10 Data and data governance

High-risk AI systems that make use of techniques involving the training of AI models shall use training, validation and testing data that meet the quality criteria in Art.10(2)-(5): appropriate data governance, examination for possible biases, identification of data gaps/shortcomings, statistically ...

Evidence an auditor accepts: Data governance procedures; Bias examination records and remediation; Data-quality assessment per dataset
EU AI Act Art.25 Responsibilities along the AI value chain

Distributors/importers/deployers/other third parties become providers when they place on the market or put into service under their own name or trademark, substantially modify the system, or modify the intended purpose making it high-risk. The original provider shall cooperate with the new provider,...

Evidence an auditor accepts: Documented allocation of provider status across the value chain; Cooperation agreements between original and new providers

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