Built in Ireland · For Ireland first
AI governance for Irish organisations, operational from week one.
AIRAS Cloud is an Irish-developed enterprise AI governance platform, built and operated in Ireland by AFRH Consulting Limited. One accountable path from discovering AI use to evidencing the decision that allowed it — at a fraction of the cost of building the same capability internally.
- 2021
- Built in Ireland since
- Dec 2027
- Annex III high-risk duties apply
- 8 weeks
- From kick-off to a governed register
- 12
- Irish alpha organisations
The Irish sector picture
Ireland runs Europe’s regulated industries. That is exactly where AI governance gets hard.
Financial services, pharma, medtech, healthcare, technology and public bodies operate here at a density found almost nowhere else in the EU. Most already hold AI inside vendor platforms they never assessed. Each sector below carries a different obligation set and a different evidence expectation.
Financial services and payments
Central Bank expectations, DORA resilience and model accountability landing at the same time.
Pharma, biotech and medtech
GxP, Annex 11 and notified-body scrutiny of AI-enabled devices and validated processes.
Healthcare providers
Clinical decision support, triage tooling and DPIA linkage across hospital groups.
Technology, SaaS and shared services
Irish entities acting as provider and deployer at once, answering enterprise customer diligence.
Public sector and semi-states
Decisions that must be explainable to citizens, elected members and oversight bodies.
Utilities and critical infrastructure
NIS2 in-scope entities carrying operational AI inside control and forecasting estates.
Aviation, transport and logistics
Safety-adjacent automation with named oversight and a reproducible assessment history.
Manufacturing and agri-food
Vision, quality and forecasting models embedded through vendor platforms.
Why now, not next year
The demand is not impending. It has already started arriving.
Duties phase in on a published schedule, and Irish buyers are asking earlier than the schedule requires. The organisations that will be comfortable in 2027 are the ones building the record in 2026.
- Already in force
Prohibited practices and AI literacy
The first AI Act duties are live. Screening at intake and a record of who was trained on what are expected now, not later.
- Now
Customer and procurement pressure
Irish suppliers are being asked for AI inventories and assessment evidence in security questionnaires before contracts close.
- 2 August 2026
General application and transparency duties
The Regulation applies generally, including the Article 50 transparency duties. Inventory, classification and oversight records are expected to exist by this point.
- 2 December 2027
Annex III high-risk obligations
Regulation (EU) 2026/1744 fixed Article 6(2) and Annex III high-risk duties from 2 December 2027, with Article 6(1) and Annex I product-embedded systems from 2 August 2028.
Dates reflect the published phasing of Regulation (EU) 2024/1689. General information, not legal advice — your own advisers should confirm what applies to your organisation.
Build internally, or deploy in weeks
Every capability below is one an internal programme would have to build from nothing.
Organisations that attempt this in-house spend a year or more on risk logic, evidence integrity and workflow before a single assessment is defensible. AIRAS Cloud has carried that work since 2021 — the cost is shared across every organisation using it.
Time to a working governed register
12–24 months of design, build and hardening
Weeks — the lifecycle already exists and is tested
People required
Engineering, risk modelling, product and audit input, sustained
Your existing risk, compliance and business owners
Cost profile
Multiple senior salaries plus infrastructure, before value
A fixed pilot fee, then subscription — a fraction of an internal build
Risk logic
Written once, rarely re-validated, hard to defend
Deterministic, versioned, reproducible with an explanation trace
Evidence integrity
Spreadsheets and documents that can be edited after approval
Append-only history, hashed artefacts, exportable decision packs
Keeping current
Your own team tracks regulatory change forever
Ruleset versions maintained and released under change control
Comparison is indicative and reflects typical regulated-programme experience. Pilot fees and subscription terms are confirmed in an Order Form.
What AI governance means operationally
AI governance is not a policy document. Operationally, it is the sequence of steps that turns an AI idea into an authorised, controlled and evidenced system: it is discovered or declared, given an owner, qualified as to what it actually is, assessed for risk against consistent criteria, fitted with applicable controls, reviewed by somebody who did not assess it, decided by an accountable person, then monitored for material change and reassessed.
AIRAS Cloud is developed and operated in Ireland by AFRH Consulting Limited, CRO 798243, trading as AIRAS Cloud. The platform is designed for organisations that will eventually have to show their working: financial services, insurance, pharma and life sciences, medtech, healthcare, public sector bodies, critical infrastructure, aviation, technology and professional services.
The problem inside Irish organisations
Formal AI projects are the visible minority of the estate. The larger share arrives quietly: a SaaS platform ships an AI summarisation feature in a routine upgrade, a team adopts a generative assistant for drafting, a vendor API is wired into a customer workflow, an automation is given tool permissions and starts acting on its own. None of that appears on a project register.
The result is a twin gap. First an ownership gap, because nobody is formally accountable for a capability nobody formally adopted. Then an evidence gap, because when a customer security questionnaire, an internal auditor or a regulator asks how a decision was reached, the answer lives in email threads, spreadsheets and memory rather than in a record.
- Embedded vendor AI arriving through routine software upgrades
- Staff-adopted generative tools with no registered owner
- Third-party model APIs inside production workflows
- Agents holding tool permissions and taking actions
- Shadow AI never declared to any governance forum
- Assessments that cannot be reproduced or explained later
What an operational AI governance platform must provide
A governance platform earns its place only if it produces the record as a by-product of the work. Nine capabilities are non-negotiable.
- Inventory: one authoritative register of all AI in use
- Ownership: a named accountable individual per entry
- Qualification: evidence that establishes what the system is
- Risk assessment: consistent, reproducible, explainable
- Controls: derived from assessed context, not a generic list
- Review: independent of the person who assessed
- Decision: attributed, versioned, conditional where needed
- Monitoring: material change, incidents, reassessment
- Evidence: append-only, hashed and exportable
The AIRAS Cloud operating lifecycle
Seven governed stages carry a system from first sight to a defensible record. Each stage writes to the same append-only history, so the export at the end is a consequence of the process rather than a separate reporting exercise.
- Discover — surface declared and undeclared AI use
- Qualify — establish what the system actually is, on evidence
- Assess — score risk under approved, versioned rules
- Control — derive the applicable control and evidence set
- Human review — independent reviewer, segregation of duties
- Monitor — material change, incidents, periodic reassessment
- Evidence — hashed records and an exportable decision pack
Irish and EU regulatory context
Irish organisations are subject to applicable EU requirements, including Regulation (EU) 2024/1689 on artificial intelligence, alongside existing obligations under the GDPR, and sector regimes such as DORA in financial services and NIS2 for in-scope entities. Voluntary standards including ISO/IEC 42001 and the NIST AI Risk Management Framework provide structure for the management system around them.
What matters practically is that these regimes ask overlapping questions: what AI do you use, who is accountable, what did you assess, what controls apply, who approved it, and can you prove it. AIRAS Cloud is built to answer those questions consistently. It does not reach legal conclusions for you, and it does not make an organisation compliant by being installed.
General information, not legal advice. Regulatory application depends on your specific circumstances and should be confirmed with your own advisers. See the EU AI Act Ireland guide for the source register and current review date.
Who AIRAS Cloud supports
- Financial services and payments
- Insurance
- Pharma and biotech
- Life sciences and medtech
- Healthcare providers
- Public sector bodies
- Critical infrastructure and utilities
- Aviation and transport
- Technology and SaaS
- Professional services
Why AIRAS Cloud is different
Most tooling in this space either documents intent or asks a language model to produce a risk opinion. AIRAS Cloud does neither. Assessment is deterministic and version-controlled: the same inputs, under the same approved ruleset version, always produce the same outcome and the same readable explanation trace.
- Deterministic, version-controlled risk logic
- Evidence sufficiency gates before a system can be qualified
- Mandatory risk floors that cannot be scored away
- Prohibited-practice screening at intake
- Named human accountability on every decision
- Segregation of duties between assessor and reviewer
- Append-only history with hashed evidence
- AI does not approve AI
Company and founder credibility
AIRAS Cloud is the product of AFRH Consulting Limited, an Irish-registered company, CRO 798243, trading as AIRAS Cloud. Development began in 2021 and the architecture, risk logic, control libraries and evidence model were designed in-house under governed change control.
The platform was founded by Richie Higgins, who brings over fifteen years of experience across regulated technology delivery, quality assurance, testing, governance and transformation programmes. That background is the reason the product treats reproducibility, segregation of duties and defensible records as design constraints rather than features.
Frequently asked questions
- What is AI governance?
- AI governance is the operating process that records every AI system an organisation uses, establishes who owns it, qualifies what it actually is, assesses its risk against consistent criteria, applies controls, routes decisions to an accountable human reviewer, monitors change and retains the evidence of all of it. A policy document states intent; governance is the machinery that produces the record.
- Does an Irish SME need AI governance?
- Proportionately, yes. Most Irish SMEs already use AI through embedded features in software they licence, so the obligation to know what is in use, who owns it and what it decides applies even without an internal data science function. The work is smaller, not absent.
- What is an AI inventory?
- An AI inventory is a single authoritative register of every AI system, model, agent and embedded vendor feature in use or under consideration, with a named owner, its lifecycle stage, its purpose, the data it touches and the decisions it influences. Without it, no risk statement can be trusted.
- How does the EU AI Act affect Irish organisations?
- Irish organisations are subject to applicable EU requirements, and obligations differ depending on whether an organisation acts as a provider, deployer, importer or distributor, and on how a system is categorised. AIRAS Cloud helps establish the facts and the evidence trail; interpretation for your specific circumstances is a matter for your legal advisers.
- Does AIRAS Cloud certify compliance?
- No. AIRAS Cloud is not a certification body and does not issue compliance certificates or guarantees. It supports structured assessment, human decision-making and the production of defensible evidence.
- Can AIRAS Cloud govern third-party and embedded AI?
- Yes. Embedded vendor AI features, third-party APIs and purchased AI capability are registered and assessed as first-class entries under the same rulebook as internally built systems.
- Can AIRAS Cloud govern autonomous agents?
- Yes. Agents are governed on identity, tool permissions, action boundaries, human approval gates and runtime evidence, so the actions an agent takes remain attributable and reviewable.
- Does AIRAS Cloud replace legal advice?
- No. AIRAS Cloud does not provide legal advice. It structures the operational work and the record so that your own legal, risk and compliance advisers are working from complete and consistent facts.
- How can an organisation begin?
- Start with an executive briefing, then run a controlled eight-week enterprise pilot on one business unit or governance programme. That produces a working environment, a real register, completed assessments and a costed conversion roadmap.
How to begin
Three routes in, in ascending order of commitment: read the executive briefing, walk the live demonstration, or scope a controlled eight-week enterprise pilot against your real obligations.
Or email interest@airascloud.com.
Written by the AIRAS Cloud governance team. Reviewed by Richie Higgins, Founder, AFRH Consulting Limited. Last reviewed 1 August 2026.
General information, not legal advice. AIRAS Cloud does not certify or guarantee compliance with any law, regulation or standard.
Free eBook · 28 pages
The Irish Guide to AI Governance
What the EU AI Act means after 2 August 2026 — and the practical steps Irish organisations should take next. Written by our founder, Richie Higgins. No form, no paywall.
Bring AI governance under control in Ireland
A forty-five minute executive briefing covering your AI estate, the obligations that apply to your sector and what a governed operating model would look like in your organisation.
No commercial commitment. No confidential information required.