About Odrion.ai
AI governance built on substance.
Odrion.ai is an AI governance and compliance consultancy, headquartered in Athens, Greece and working across Europe, the United Kingdom, Saudi Arabia and the wider Gulf. Our work is grounded in internationally recognised frameworks — the same ones regulators, auditors, and oversight bodies actually use to evaluate an organisation’s AI posture.
Proact
|
Protect
|
Prevail
Our Team
Board of Directors
Alexandros Daskalakis
Founder
A business builder and software entrepreneur, Alexandros has spent more than 20 years helping companies build teams, processes and digital products. Alexandros is Co-Founder and Managing Partner of Quintessential SFT, a custom software firm serving tech and product leaders across Europe and North America, and also Founder of Odrion.AI.
Dr. George Syrmalis
Non-Executive Director
Nuclear medicine physician turned CEO, George has been heading listed and public biotechnology companies for more than 20 years . George is the founder and CEO of Bioscience Equity Partners S.A, an international investment banking firm with an exclusive focus on the life science sector and also a trusted advisor for Odrion.AI.
Dr. Yannis Krasonikolakis
Non-Executive Director
Head of R&D at the National Bank of Greece’s Analytics Centre of Excellence and a Visiting Professor at the University of Bath. He holds a PhD in Marketing and Information Systems, has held senior analytics roles in banking, consulting and academia, and specializes in machine learning, predictive analytics and responsible AI. He is also a trusted advisor to Odrion.AI.
Management Team
Behind every engagement is a team of seasoned executives and practitioners who have spent their careers on the other side of the table: running security, audit and finance functions, growing businesses and guiding boards through complex regulatory change. Our consultants hold credentials including Certified Information Systems Auditor (CISA), CPA, ISO/IEC 27001 Internal Auditor, Certified Ethical Hacker (CEH), LCSPC to name a few that bring deep expertise in data science, machine learning and responsible AI. The result is advice grounded in operational reality, from people who know how to make governance work in practice.
Our Collaborations
Our Commitment
Proact. Protect. Prevail.
Our tagline is not a slogan. It is the sequence of what good AI governance actually delivers — anticipation before incident, protection before obligation, and a position that lasts.
P
Proact
AI governance should begin before regulatory deadlines, not at them. We help organisations map their AI footprint, identify obligations early, and build controls before they become mandatory, so that action is strategic, not reactive.
P
Protect
Every AI system carries risk: regulatory, reputational, operational, and legal. We assess those risks with precision, anchor our findings in internationally recognised frameworks, and build the governance structures that protect the organisation when those risks materialise.
P
Prevail
The organisations that govern AI well now will be in a stronger competitive position than those that don’t. Regulatory readiness, stakeholder trust, and responsible AI posture are not just risk management, they are market advantages.
Our Mission
To empower organisations with high-fidelity AI solutions that anticipate complexity and neutralise risk.
AI adoption is accelerating faster than the controls, oversight structures, and governance models that should accompany it. Odrion.ai exists to close that gap, helping organisations understand where their AI exposure actually sits, what frameworks and obligations apply, and how to build a governance model that holds up beyond the engagement.
We do not produce reports that get filed and forgotten. We produce an operating position, one that equips your organisation to govern AI responsibly, defensibly, and at pace with the technology itself.
“Compliance is the artefact.
Governance is the asset.”
The Odrion.ai principle from engagement brief to deliverable.
What we are not
We do not produce AI ethics statements. We do not generate compliance checklists from template libraries. We do not certify outcomes we cannot stand behind. Every engagement is evidence-led, framework-anchored, and produces a deliverable that works in the real context of your organisation.
Our Approach
Evidence-led. Framework-anchored. Operationally focused.
Our approach to every engagement follows the same four principles — regardless of sector, organisation size, or the specific service involved. The goal is always the same: a governance position that holds up.
We do not treat governance as a documentation exercise. We treat it as a structural problem that requires understanding the organisation’s actual AI use, not a generic template applied from the outside.
01
Understand before assessing
We begin by understanding the organisation, its AI use, risk appetite, regulatory context, and the people who need to live with the outcome. Assessment without understanding produces generic findings.
02
Evidence over assertion
Every finding is supported by documentation, system analysis, and stakeholder interviews. We do not make compliance claims we cannot substantiate, and we do not issue assurance we cannot defend.
03
Internationally recognised frameworks
Our work is anchored in the EU AI Act, the IEEE CertifAIEd criteria, SOC 2, Canada’s AIA, the ELI Model Rules and, for Saudi Arabia, SDAIA’s frameworks, the PDPL and the NCA controls, not internal policy documents or bespoke frameworks that regulators will not recognise.
04
Governance, not reports
The deliverable is always an operating position, controls, policies, accountability structures, and documentation that the organisation can use, maintain, and point to. Not a report that ages in a drawer.
Grounded In
The frameworks regulators actually use.
Our methodology and assessment instruments are Odrion’s own — the Map → Assess → Govern → Sustain sequence, our control libraries and evidence schemas — and they are anchored in internationally recognised standards, so that findings hold up before regulators, auditors and boards who did not hire us.
EU AI Act
The first comprehensive horizontal AI regulation. In force across the EU and with extraterritorial scope. Our AI Act Readiness service is built directly around its risk classification and governance obligations.
IEEE CertifAIEd Criteria
The AI-ethics criteria our AI Act instruments are mapped to: transparency, accountability, algorithmic bias and privacy. Findings carry weight with oversight bodies as well as regulators.
SOC 2 (AICPA)
Gold standard for data systems assurance. The anchor framework for our Data Integrity Assessment. Provides a principled basis for assessing data quality, processing controls, access controls, and lineage.
Canada’s Algorithmic Impact Assessment
Developed by the Treasury Board of Canada Secretariat for automated decision systems. Used internationally as a rigorous reference instrument for algorithmic accountability assessment.
ELI Model Rules
The European Law Institute’s formal model rules framework for automated decision-making systems. Provides the European reference layer for our Algorithmic Impact Assessment, alongside the Canadian framework.
SDAIA Frameworks · PDPL · NCA
For Saudi Arabia: SDAIA’s AI Adoption Framework and National AI Risk Management Framework, layered over the PDPL, the NCA controls and the SAMA and SFDA sector overlays. Building to the EU AI Act clears the Saudi bar on system governance; it does not deliver Saudi compliance — and we map to both.
Work With Us
Ready to build a governance model that holds up?
Whether you are navigating EU AI Act obligations, assessing your data controls, or building production-grade AI agents, we can help you move from uncertainty to an operating position.