No policies. No review process. No risk classification. It's the Wild West — and every ungoverned AI deployment is a liability waiting to surface. Your marketing team is using ChatGPT for customer communications. Your HR team is testing AI screening tools. Your engineering team built a recommendation engine nobody reviewed. Nobody knows who approved what. Nobody tracks which models are in production. Nobody has classified the risk level of any of these systems. I built Aegis AI — a compliance engine that automates EU AI Act risk classification. I've advised the French Government on AI policy. I know what governance looks like at scale, and I know what happens when it's missing.
Shadow AI is everywhere. Teams adopt AI tools without IT approval, security review, or compliance checks. You don't know what's processing customer data. The Wild West thrives on convenience.
The EU AI Act requires risk classification, documentation, and human oversight for high-risk AI systems. You can't classify what you don't inventory. And the fines start at €7.5M or 1.5% of global revenue.
Your data protection officer covers GDPR. Your CISO covers cybersecurity. Nobody covers AI governance. It falls between chairs — and between chairs is where compliance gaps hide.
Every AI vendor says their tool is 'compliant.' Compliant with what? Your organization's governance requirements don't exist yet. You're trusting vendors to self-regulate.
Your board asks 'what's our AI risk?' The honest answer is 'we don't know.' That answer gets less acceptable every quarter.
A 4-8 week project that establishes AI governance from the ground up. Policies, processes, oversight structures, risk classification — everything you need before the EU AI Act deadline.
Define who owns AI decisions — an AI Ethics Board, a governance committee, or embedded roles. Establish clear authority, escalation paths, and decision rights.
Build the workflows: how AI projects get proposed, reviewed, approved, and monitored. Create templates for AI Impact Assessments, model cards, and deployment checklists.
Inventory every AI system in use or planned. Classify each by EU AI Act risk tier (unacceptable, high, limited, minimal). Define controls proportional to risk level.
Establish documentation standards, incident reporting procedures, and transparency requirements. Build the audit trail regulators expect.
Built from hands-on EU AI Act compliance work and the development of Aegis AI. GOVERN gives you a governance structure that's proportional — heavy enough for regulators, light enough for your teams to actually follow.
You're a European company deploying AI systems and you don't have a governance framework yet. Your teams are using AI tools without oversight. You need structure before the EU AI Act deadline — but you want governance that enables AI adoption, not governance that kills it.
Compliance is the minimum — meeting regulatory requirements. Governance is broader: it's the policies, processes, and structures that ensure AI is used responsibly, effectively, and in alignment with your business strategy. Good governance makes compliance a natural byproduct. Compliance without governance is checkbox exercise that breaks the moment regulations change.
It must be. Governance that stops teams from using AI is governance that gets ignored. The GOVERN Framework is proportional — minimal-risk AI (spam filters, autocomplete) gets a one-page assessment. High-risk AI (hiring tools, credit scoring) gets a full impact assessment. 80% of your AI systems will fall into the 'lightweight governance' category.
It depends on your organization, but it shouldn't be IT alone, legal alone, or the CDO alone. Effective AI governance needs a cross-functional body — typically an AI Governance Committee with representatives from legal, data, engineering, risk, and the business. I help you design the structure that fits your culture and size.
The EU AI Act requires risk classification, documentation, human oversight, and transparency for high-risk AI systems — enforceable from August 2026. This governance framework directly addresses every EU AI Act requirement while going further: it also covers shadow AI, procurement governance, and organizational accountability. You'll be compliant and well-governed.
Partially. Data governance covers data quality, access, and privacy — all prerequisites for good AI governance. But AI governance adds model lifecycle management, algorithmic bias assessment, human oversight requirements, and AI-specific risk classification. Think of it as a natural extension of your data governance, not a replacement. We build on what you have.
Let's discuss how this service can address your specific challenges and drive real results.