AI Governance & Compliance
AI governance platform you can build on.
Odrion.ai helps organizations move from fragmented AI adoption to a compliant, defensible, and responsible governance model grounded in the frameworks that regulators and oversight bodies actually use.
AI Governance Assessment
Ready to engage
AI Act Readiness & Governance
EU AI Act · IEEE CertifAIEd
Data Integrity Assessment
SOC 2
Algorithmic Impact Assessment
Canada AIA · ELI Model Rules
AI Agents
Production-grade engineering
Grounded in
EU AI Act
IEEE
SOC 2
Canada AIA
AI Act Readiness & Governance
Prepare AI systems for governance, classification, risk management, and compliance.
Data Integrity Assessment
Evaluate whether business-critical data is reliable, controlled, and defensible.
Algorithmic Impact Assessment
Assessment of fairness, transparency, accountability, and decision-making risks.
AI Agents
Production-ready AI agents with governance, monitoring, and human oversight controls.
Vulnerability Assessment & Penetration Test
Simulated attack scenarios designed to uncover exploitable security weaknesses.
IT Audit
Independent review of infrastructure, security controls, and operational resilience.
Threat Modeling
Identify attack surfaces, trust boundaries, and potential abuse scenarios before systems scale.
CMMC 2.0 Readiness
Assessment of cybersecurity maturity, control implementation, evidence readiness, and alignment with CMMC 2.0 requirements.
HHS 405(d) Readiness
Assessment of cybersecurity maturity, operational resilience, workforce awareness, and healthcare-focused security practices aligned with HHS 405(d) guidance.
Cybersecurity Training
Practical, role-based training designed to improve awareness, reinforce secure behavior, and reduce human-driven security risk.
Phishing Campaign Simulations
Controlled phishing exercises designed to assess user behavior and exposure to social engineering attacks.
Our Services
Eleven services. One governance platform.
From AI governance and data integrity to cybersecurity readiness, each service supports a structured, defensible, and operational governance model.
01
AI Act Readiness & Governance
Map, classify, and govern AI systems under the EU AI Act.
02
Data Integrity Assessment
Assess whether critical data is reliable, controlled, and defensible.
03
Algorithmic Impact Assessment
Evaluate automated decisions for fairness, transparency, and accountability.
05
Vulnerability Assessment & Penetration Test
Identify exploitable weaknesses before attackers do.
08
CMMC 2.0 Readiness
Prepare controls, evidence, and processes for assessment readiness.
09
HHS 405(d) Readiness
Strengthen healthcare cybersecurity readiness and operational resilience.
11
Phishing Campaign Simulations
Test phishing resilience through realistic attack scenarios.
09
HHS 405(d) Readiness
Strengthen healthcare cybersecurity readiness and operational resilience.
Why Odrion
Grounded in the frameworks that regulators and oversight bodies actually use.
Most AI governance work is shaped by internal policy or generic frameworks. Our governance platform is anchored in the international standards that regulators, auditors, and oversight bodies refer to when they evaluate an organization’s AI posture, enabling assessments, controls, evidence, and oversight activities to be managed in a structured and defensible way. This gives our clients a position that holds up beyond the engagement.
“Compliance is the artefact.
Governance is the asset.”
The deliverable is not a report that gets filed away. It is a clearer operating model one that helps your organization assess, approve, monitor, and govern AI across departments, vendors, and whatever AI systems arrive next.
EU AI Act
The first comprehensive global AI regulation. In force. Our AI Act service is built directly on its risk-based obligations.
IEEE CertifAIEd Programme
The global professional standard for AI ethics assessment. Embedded in every AI Act engagement we conduct.
SOC 2 (AICPA)
Gold standard for data systems assurance. The anchor framework for our Data Integrity Assessment methodology.
Canada’s Algorithmic Impact Assessment
Developed by the Treasury Board of Canada Secretariat. Used internationally as a reference for automated decision systems.
ELI Model Rules
European Law Institute’s formal European reference for algorithmic decision-making systems assessment.
How We Work
Structured. Defensible. Operational.
Every engagement follows a consistent sequence. Understanding before assessment. Assessment before governance. Governance before delivery. The result is always an operational position, not a report that ages. Assessments, evidence, controls and governance activities are managed through a centralized platform environment.
1
Map
Establish full, current visibility of every AI system in use, internal tools, analytics platforms, embedded third-party AI, and vendor solutions. Visibility is the precondition for everything else.
Assess
Evaluate each system against applicable frameworks and risk criteria, regulatory classification, data integrity, algorithmic impact, vendor exposure, with evidence, not assumption.
Govern
Build the controls, policies, documentation, and accountability structures that are actually sufficient, not just present. The governance model that holds up to auditors, regulators, and your own board.
Sustain
Create a repeatable structure that governs the next AI system before it goes live. So that AI adoption does not outpace AI accountability, now or in the future.
Who We Serve
Built for the people who have to live with this.
AI governance is not a single team’s responsibility. It requires legal, compliance, risk, IT, data, and business stakeholders to hold the same picture at the same time. Our work is built to make that possible. All outputs remain accessible through a shared governance workspace.
Legal & Compliance
General Counsel, DPO, and Compliance Officers navigating EU AI Act obligations, documentation requirements, and regulatory exposure across business functions and vendor relationships.
AI Act Classification
GDPR Alignment
Regulatory Documentation
Vendor Assessment
Technology & Risk
CTOs, CISOs, IT Directors, and Data Officers responsible for AI system oversight, data controls, third-party AI governance, and operational risk management across the organization.
AI System Inventory
Data Integrity Controls
Third-Party AI Risk
Monitoring & Oversight
Executive & Board
CEOs, Managing Directors, and Board members accountable for responsible AI adoption, stakeholder trust, regulatory exposure, and the organization’s long-term market position in an AI-governed world.
Governance Accountability
Regulatory Readiness
Market & Investor Trust
Responsible AI Position
Take Action
Ready to implement a defensible AI governance platform?
The EU AI Act is in force. Organizations that act now have time to map their AI footprint properly, identify high-risk pockets before they become incidents, and build a governance structure that holds up over time. AI Act readiness, done early, is not just regulatory protection it is a competitive position.