Certified Data Ethics & AI Consulting

Ethically harnessing
Data & AI for a
responsible future

Organisations that treat data ethics as a strategic priority don't just avoid risk, they build lasting trust and a sustainable competitive advantage.

EU Commission
EU Commission Independent Expert Registered as Independent Expert at the European Commission Expert pool
Open Data Institute
Open Data Institute Certified Certified data ethics expert, Open Data Institute, London
25+ years
25+ Years of Data Expertise Digital marketing, GIS, CDP, BI, and data privacy (DPO)
Global practice
Global Practice, EU Focus Operating globally, EU focus

Why it matters

For those who say ethics is an unnecessary burden

You hear it more and more often: ethics is a luxury, a brake, a handicap. The strong build; the weak regulate. Drop the scruples, and the rest will follow.

It sounds tough. It is mostly wrong.

Ethics is not the opposite of power. It is one of its forms. Every dominant economy of the modern era was built on a framework of rules: property rights, contract enforcement, antitrust, standards. These weren’t moral decorations added after victory. They were the infrastructure of victory. Strip them away and you don’t get power; you get extraction, mistrust, and short cycles.

The “drop ethics to win” argument eats itself. If ethics really were a luxury only the dominant can afford, then abandoning it doesn’t produce dominance; it just leaves you exposed. You cannot buy strength by selling a virtue you don’t yet profit from. The shortcut isn’t a shortcut. It’s a cliff.

Constraints don’t kill innovation. They direct it. The most demanding standards (on data, on emissions, on safety) have repeatedly become the global benchmarks others must meet. Companies that learn to operate under them build advantages competitors cannot copy overnight. What looks like a cost upfront is often a moat later.

58%
of businesses see Responsible AI improving ROI and efficiency PwC’s 2025 Responsible AI Survey

Power without principles has a bill. It comes due in pollution, in lost trust, in social fracture, in regulatory backlash, in talent that walks away. The economies that ignored the bill are now paying it, visibly. The question is no longer whether ethics has a cost, but whether its absence has a bigger one.

The real problem is rarely too much ethics. It is procedural timidity dressed up as virtue. It is rules without strategy, principles without projects, caution mistaken for seriousness. Confusing those things with ethics, and then blaming ethics for the result, is the mistake that keeps repeating.

The choice was never ethics or power. It is power built through ethics, or power that eventually undoes itself. We know which one lasts.

60%
of consumers say AI use by organisations has already eroded their trust Cisco, 2024
>90%
of businesses need new techniques to responsibly manage data & AI IBE, 2024
62%
of consumers are concerned about how businesses use AI today Cisco, 2024

What we do

From assessment to implementation

A structured approach to embedding ethical practices across your data and AI lifecycle, going beyond legal compliance to build genuine trust.

1

Assess

Audit your current data and AI practices against ethical standards and regulatory requirements.

2

Strategise

Define a roadmap with prioritised mitigation actions and governance principles aligned to your organisation.

3

Implement

Embed ethics-by-design into your processes, tools, and team culture, at the core, not as an afterthought.

4

Govern

Maintain ongoing oversight, monitor the landscape, and adapt as regulations and best practices evolve.

A clear picture of where you stand on data and AI ethics. We map your usage, assess maturity, score risks, and produce a prioritised report that forms the foundation for everything that follows.

Assessment & Mapping

AI usage mapping
Data Privacy Impact Assessment
Ethical maturity assessment (Data & AI)
Risk scoring by data category & use case
Prioritised findings report

Stakeholder Engagement Workshops

Executive awareness sessions (C-suite, board)
Technical team deep-dives
Values & principles facilitated workshops
Custom training modules on ethical AI

Assessment findings become a concrete plan of action. We define your governance framework, embed ethical principles into your operations, and make sure accountability is clear at every step.

Risk mitigation priorities and quick wins
Governance principles and internal policies
Ethics-by-design integration into your existing workflows
Implementation phasing and accountability owners

Data lives. Risks evolve, through regulatory change, yes, but just as often through operational decisions made in the moment. Ongoing governance means staying ahead of both, without the cost of a full-time hire.

DEO as a Service

Monthly ethics review sessions
Policy maintenance & update management
Regulatory change monitoring
On-call advisory for ethics incidents
Board & leadership reporting
Industry benchmarking

Ethics & AI Committee Setup

Committee charter & mandate definition
Member selection criteria & onboarding
Review and escalation process design
Ongoing facilitation & advisory support

Ethical Crisis Management

Crisis scenario mapping & risk register
Response playbook design
Communication templates (internal + external)
Crisis simulation exercises

Use cases

The right approach depends on your context

Data ethics challenges vary significantly by sector. Select your area to see how we typically engage.

Automotive & Mobility

Connected vehicle data, fleet analytics, and customer data platforms raise complex questions about consent, profiling, and data minimisation, especially across multi-country operations.

Connected vehicle & telematics data governance
Customer data platform ethics assessment
Dealer network data-sharing framework
Consent architecture for multi-market deployments
Data Marketing & Digital Advertising

Audience targeting, behavioural profiling, and programmatic ecosystems operate in a regulatory and consumer-trust environment under increasing scrutiny. First-party data strategies must be both effective and ethical.

Ethical first-party data strategy
Audience segmentation & profiling ethics review
Consent management platform assessment
Third-party due diligence
Technology & AI Products

Companies building or deploying AI-powered products face EU AI Act obligations and growing customer scrutiny. Ethics-by-design embedded early is far less costly than retrofitting.

EU AI Act compliance readiness assessment
Algorithmic bias detection & mitigation
Responsible ML lifecycle framework
AI transparency & explainability documentation
Financial Services & Insurance

Algorithmic decision-making in credit, underwriting, and fraud detection carries significant fairness and transparency obligations, and reputational exposure when it goes wrong.

Algorithmic fairness audit (credit, pricing)
Explainability framework for automated decisions
Data ethics policy aligned to ESG commitments
Regulatory mapping (GDPR, EU AI Act, sector-specific)
Public Sector & Institutions

Public bodies deploying AI in citizen-facing services face unique accountability obligations. Transparency, non-discrimination, and human oversight are non-negotiable, and increasingly regulated.

Public AI deployment ethics review
Citizen data rights governance framework
Ethics committee setup & supervision
Staff training on responsible data use

About DataEthica

Expert guidance rooted in certified experience

I founded DataEthica to support organisations navigating one of the most consequential transitions in business history: the rapid integration of AI and autonomous systems into everyday decision-making.

With over 25 years of hands-on experience across digital marketing, GIS, customer data platforms, business intelligence, and data privacy (including roles as DPO), I bring a rare combination of technical depth and strategic perspective to the ethics practice.

Rémy Jugault

EU Commission
EU Commission Independent Expert AI & data governance
Open Data Institute
ODI Certified Open Data Institute, London
Global
Global Experience Engagements across Europe, Americas & Asia-Pacific
25+ years
25+ Years in Data Full data stack (marketing to BI)

25 years of experience

Urban Science Mitsubishi Motors S&P TMW Epsilon

How we work

Practical over theoretical

Ethics frameworks only create value when they're operational. Every recommendation we make is grounded in what your organisation can actually implement.

Embedded, not outsourced

We work alongside your teams, not around them. The goal is to build internal capability, not dependency on external consultants.

Beyond legal compliance

The law sets a floor. We help you build above it, creating practices that earn genuine trust, not just avoid penalties.

Insights

Practical writing on data ethics & responsible AI

Grounded in practice, written by a certified data ethicist. No newsletters, no AI generated filler. Just clear thinking on the questions organisations are actually asking.

Ethical AI

What is Ethical AI? A practical guide for EU organisations

A working definition, the line between ethics and EU AI Act compliance, the seven pillars that matter in practice, and five concrete moves any organisation can make this quarter.

Read the article →

Browse all insights

Ready to make ethics your competitive edge?

Let's start with a conversation about where you are and where you want to be.

Book a free consultation