Governance Architecture Design
Build an operating model your organisation can actually run
The difference between an AI governance policy and AI governance is whether the controls are implemented.
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EU AI Act High-Risk Deployer Checklist
If your organisation uses AI systems in your business, the EU AI Act classifies you as a deployer and specific obligations apply to you. This checklist maps each of those obligations to the Article that requires it, so you know exactly what your governance needs to include before 2 August 2026.
The Problem
Why this matters
Most organisations that have done compliance work have a policy document or a gap analysis report. What they do not have is an operating model: the accountability structures, escalation paths, oversight procedures, and documentation systems that turn a policy into something that actually governs day-to-day AI use.
Generic governance templates rarely survive contact with real operations. They are built for an imaginary organisation, not for the specific mix of people, processes, and systems you have. The result is a governance framework that looks complete on paper and does nothing in practice.
This service designs governance architecture that fits your organisation, with named owners at every control point and procedures specific enough that a new employee could follow them.
A policy defines the intent: what the system should do, what is permitted, who is accountable. Governance is the set of implemented controls that make the policy real. An organisation can have a well-written AI policy and still have no audit logging, no access controls, no approval gates, and no incident response process. In that case the policy is aspirational documentation, not governance.
What Is Included
End-to-end governance operating model design, built around your actual structure and systems:
- Current state assessment: how AI decisions are being made and governed today
- Accountability architecture: named owners for every AI system and every oversight function
- Policy design: AI acceptable use, oversight requirements, incident reporting, and exception handling
- Operational procedures for each AI-assisted process, written to a level of specificity that is actually usable
- Monitoring and assurance plan: what gets logged, who reviews it, how often, and what triggers escalation
- Improvement and change process: how the governance model updates when systems, regulations, or the organisation change
The output of this service is a governance operating model designed around how your organisation actually works, not a generic framework. This is a more substantial undertaking than a policy document. How it is scoped depends on your starting point: a full operating model across all AI systems, or a focused engagement covering the highest-priority systems first. Either way, the result is something your organisation can operate.
Deliverables
What you receive
- Current state governance assessment
- Accountability register: every AI system and oversight function with a named owner
- Policy outlines with drafting guidance for each policy to be created or updated
- Operational procedure documents for each in-scope AI-assisted process
- Monitoring plan with KPIs, review cadence, and escalation triggers
- Improvement and change process documentation
- Governance architecture blueprint combining all of the above in a single reference document
Enterprise Ireland
If your organisation is Enterprise Ireland-supported, you may be able to recover up to 80% of project costs via the Digital Discovery Grant. Book a discovery call and we will confirm your eligibility as part of the conversation.
Scope and boundaries
What we are
We have received comprehensive training and are knowledgeable across the full scope of EU AI Act obligations: risk classification, provider and deployer requirements, governance architecture, post-market monitoring, and fundamental rights assessments. Clear Gate Systems applies this knowledge to design and implement technical governance architecture for clients.
What we are not
Clear Gate Systems does not provide legal advice, legal interpretation of specific obligations, or regulatory representation. Where your organisation requires a formal legal opinion, on the classification of a specific system, on contractual obligations with an AI vendor, or on regulatory exposure, a qualified solicitor or barrister must be engaged. Our role is to build the technical governance infrastructure that qualified legal counsel can stand behind.
Want to discuss your requirements?
Book a discovery call to discuss your requirements. We will recommend an approach based on what you are actually trying to solve.