Ethics governance
in practice, by sector.

The problem

Autonomous and semi-autonomous systems in the automotive sector operate in conditions where moral decisions happen in milliseconds. Who bears responsibility when the system causes harm? How do you document the ethical choices embedded in system design? How do you demonstrate, to regulators and to the public, that those choices were made deliberately rather than by default?

Most organisations in this sector have invested heavily in technical safety. Fewer have invested equally in the ethical architecture that gives those safety decisions meaning and accountability.

Our approach

We apply Moral Situation Modelling to map the ethically relevant dimensions of the system’s lifecycle at different levels of granularity: the points where human oversight is required, where accountability must be allocated, and where the system’s behaviour reflects choices that need to be made explicit. This work precedes and informs the Ethics-Based Audit, which examines whether those choices were implemented as intended.

What structured ethics governance produces

Organisations that complete this process have a documented ethical architecture for their AI systems. They can demonstrate to regulators, partners, and insurers that the moral dimensions of their systems were addressed by design, not discovered after an incident.

The problem

Telecommunications organisations handle vast quantities of personal data, operate AI systems that influence customer behaviour, and face regulatory scrutiny from multiple directions simultaneously. Most have ethics policies. Fewer have a governance architecture that makes those policies verifiable.

The gap between declared ethics and demonstrable practice is where risk accumulates. It is also where regulators and civil society increasingly focus their attention.

Our approach

We begin with an Ethics Gap Analysis: a systematic examination of the normative margins between your declared ethical commitments and your actual governance documents. This surfaces the specific areas where your organisation’s ethical posture is exposed. We then work with your governance team to close those gaps through a combination of regulatory mapping, policy revision, and, where needed, a full AI Ethics Governance architecture.

What structured ethics governance produces

Organisations that complete this process move from ethics as declaration to ethics as verifiable practice. They have a governance architecture that can withstand external scrutiny and a monitoring function that tracks regulatory developments before they become compliance obligations.

The problem

Financial services organisations already operate under dense regulatory frameworks: European Banking Authority (EBA) guidelines, Digital Operational Resilience Act (DORA), General Data Protection Regulation (GDPR), Markets in Financial Instruments Directive II (MiFID II). The EU AI Act adds a layer that intersects with all of them without replacing any. The result is a governance challenge that legal and compliance functions alone are not equipped to resolve.

At the same time, AI systems in financial services make decisions that directly affect individuals: credit access, insurance pricing, fraud detection, investment recommendations. The ethical dimensions of those decisions and the meaningfulness of any human oversight are not covered by technical standards alone.

Our approach

We combine Regulatory Mapping with applied Workshop sessions designed around your organisation’s specific systems and decisions. The mapping identifies where the EU AI Act intersects with your existing regulatory obligations and where it creates new requirements. The workshop translates that map into governance decisions your team can implement.

What structured ethics governance produces

Organisations that complete this process have a clear picture of their regulatory exposure under the EU AI Act, a governance framework that integrates with their existing compliance architecture, and a team that understands the ethical dimensions of the decisions their AI systems make.

The problem

Small and medium-sized organisations face the same ethical and sustainability obligations as larger ones, often with a fraction of the internal resources. Corporate Sustainability Reporting Directive (CSRD) reporting, AI Act compliance, and stakeholder expectations do not scale down because your organisation is smaller.

The result is a governance gap that most SMEs fill with good intentions and insufficient method. Good intentions do not hold up under audit.

Our approach

The Fractional Chief Ethics Officer model was designed for exactly this situation. We integrate into your organisation on a part-time basis, bringing senior-level ethics and sustainability expertise without the cost of a full-time hire. We build the structures your organisation needs, transfer the method to your team, and work ourselves out of the role over time.

For organisations starting from scratch, we begin with a Social Responsibility alignment (ISO 26000) and a double materiality analysis. These two steps produce a clear picture of where your organisation stands and what it needs to address first.

What structured ethics governance produces

Organisations that work with us on this basis have a governance function that is proportionate to their size, credible to their stakeholders, and sustainable without permanent external support.

The problem

Large organisations deploying AI across multiple jurisdictions face a compounded version of every challenge described above. Different regulatory frameworks, different cultural expectations, different stakeholder pressures: the governance architecture that works in one market may not work in another.

At the same time, multinational scale creates specific risks. Ethics washing is more visible. Incidents travel faster. Regulatory scrutiny is more intense. And the internal complexity of large organisations means that ethical decisions made at the centre are often implemented very differently at the periphery.

Our approach

For multinationals, we focus on three services that address governance at scale. The Ethics Advisory Board provides sustained external oversight, ensuring that ethical decisions are reviewed by independent experts with no stake in the outcome. Regulatory Monitoring and Watching tracks developments across all relevant jurisdictions, so your governance team is never caught by a regulatory shift. Training and Knowledge Transfer builds the internal capacity to govern ethics consistently across business units, geographies, and functions.

What structured ethics governance produces

Organisations that invest in these three services have an ethics governance function that scales with them. They can demonstrate independent oversight to regulators and partners, respond to regulatory changes before they become compliance crises, and maintain ethical consistency across a complex, distributed organisation.