CIRCULAR ECONOMY

Responsible AI across circular value chains. Connect innovation with accountability.

GLIE Legal brings an AI governance perspective to circular economy initiatives, focusing on the decisions, responsibilities and information flows behind each use case.

Our approach starts with a practical question: how should an AI-enabled process be assessed and governed when products, materials and data move between different organisations and stages of use?

Discuss your circular economy use case

Governance beyond a single organisation

We frame each engagement around the value-chain relationships involved, the intended decisions and the evidence available to support them.

What is the intended purpose of the AI use case, and which decisions will it influence?
Who provides the data, operates the system and relies on its outputs?
How are responsibilities allocated between suppliers, operators and other partners?
What needs human review, and how can errors or disputed outputs be challenged?
What evidence supports any claimed operational or environmental benefit?

Illustrative areas of application

The following scenarios illustrate where our governance approach could be applied. They are not descriptions of completed client projects.

Product maintenance and life extension

For proposed AI uses supporting maintenance, repair or refurbishment decisions, we examine intended reliance, review responsibilities and escalation where an output may affect product condition or continued use.

Reuse and secondary-material decisions

For use cases involving material classification, matching or reuse, we focus on data assumptions, decision criteria and the responsibilities of those validating outputs.

Resource and process planning

For proposed AI-supported planning, we examine the objectives being prioritised, the constraints applied and how trade-offs or unexpected outcomes should be reviewed.

Traceability and shared product information

Where AI is used to interpret or combine product and material information, we consider data provenance, access rights, information quality and responsibility for corrections.

A structured approach to the use case

Map the context

Define the intended purpose, value-chain participants, information flows and decisions within the agreed scope.
Assess the questions

Examine relevant legal, organisational and risk issues, recording assumptions and gaps in the available evidence.
Define responsibilities

Propose governance arrangements, review points, supplier requirements and controls appropriate to the use case.
Plan implementation and review

Translate findings into prioritised actions with proposed owners and triggers for reassessment.

Services applied to your context

Circular economy is a focus area, not a fixed service package. The engagement draws on the services relevant to your specific question.

AI Act Readiness

Assess roles, regulatory classification and relevant obligations for the AI systems within scope.

Explore AI Act Readiness

AI Risk Assessment

Examine risk scenarios, affected stakeholders and safeguards for a defined AI use case.

Explore AI Risk Assessment

Governance Frameworks

Define decision rights, oversight and coordination across internal teams and value-chain relationships.

Explore Governance Frameworks

Policies & Controls

Develop practical rules, supplier-review materials and documented controls for the agreed activities.

Explore Policies & Controls

Where the project calls for management-system preparation or staff training, ISO/IEC 42001 Readiness and Training & AI Literacy can be considered as separately agreed workstreams.

Clear scope. Evidence before claims.

This page describes the intended application of GLIE Legal’s advisory approach. It does not claim that a particular AI deployment will deliver environmental benefits or circularity outcomes.

Environmental performance measurement, lifecycle assessment, engineering validation, technical model testing and sustainability assurance are outside the engagement unless expressly agreed with appropriately qualified specialists.

Any assessment is limited to the agreed activities and evidence. Recommendations do not constitute certification or a guarantee of regulatory compliance.