AI Governance · Regulatory Architecture · Built to be audited

AI you can govern,
audit, and defend —
in any jurisdiction.

Data Domine designs AI systems where governance is a structural property of the architecture — so regulators, boards, and auditors find exactly what they need, built into the system itself.

We work to the EU AI Act — the world's most rigorous AI governance standard — which means the architecture we deliver satisfies every major regulatory framework simultaneously.

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DATA DOMINE GOVERN AUDIT DEFEND COMPLY Total visibility. Every layer. Every system. Any jurisdiction.
Frameworks EU AI Act UK AI Framework Canada AIDA Singapore IMDA US AI Executive Order The EU AI Act sets the gold standard. Architecture that satisfies it satisfies every parallel framework.
Trust collapse Unexplainable decisions Agentic explosion No enforced oversight Shadow AI Ungoverned deployments Audit readiness No trail when asked Vendor AI No supply chain visibility Velocity vs governance Deployment paralysis ONE ANSWER Six situations. One design resolution.

Six situations where architecture is the answer.

The AI governance challenges enterprises face today share a common root. Each one resolves the same way — a system designed to be trusted from the inside out.

01 · Trust collapse

"An AI decision caused harm. We have no way to explain it."

Explainability built into the inference architecture means every consequential decision carries its own reasoning. The explanation exists before anyone asks for it.

02 · Agentic explosion

"Our autonomous AI is making decisions faster than any human can review."

Human oversight enforced as a structural state machine node means speed and accountability are architectural properties of the same system.

03 · Shadow AI

"Teams across the business are deploying AI tools we have no visibility into."

The Architecture Review surfaces every AI system in your enterprise and maps each one against its regulatory obligations.

04 · Audit readiness

"A regulator asked us to demonstrate how a decision was made. We had nothing."

Immutable audit logs generated as a structural by-product of every operation mean the answer is always available and always current.

05 · Vendor and supply chain AI

"We are buying AI capabilities embedded in platforms and APIs. No visibility into what they do."

The Review maps your vendor AI exposure and establishes the architectural controls required to satisfy your obligations.

06 · Velocity vs governance

"Engineering wants to ship. Legal keeps blocking. We are losing ground."

Governance built into the architecture removes the tension entirely. Engineering ships with confidence. Legal has a clear basis for approval.

Three ways to work with Data Domine.

Every engagement is scoped to your systems, your regulatory situation, and where you are in your AI governance journey. We begin with a conversation.

AI Compliance Architecture Review
Fixed scope · Signed Architecture Decision Record

A precise examination of your AI systems — sanctioned, vendor-supplied, and team-deployed — against applicable regulatory frameworks. The deliverable is a document your board, legal team, and regulator can rely on.

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AI Governance Retainer
Ongoing · Monthly · Scales with your AI portfolio

AI governance regulation evolves. New systems go live. New frameworks activate. A retained architect keeps your compliance posture current across every jurisdiction relevant to your business.

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YOUR GOVERNANCE JOURNEY REVIEW Architecture Review Know where you stand DESIGN Compliance-by-Design Flagship engagement RETAIN Governance Retainer Stay current, always Every engagement begins with a conversation.

Built on 20 years of enterprise system design.

Data Domine draws on two decades of designing the systems that complex organisations run on — including 15 years architecting platforms managing over €50M in annual recurring revenue. That discipline applied to AI governance produces systems where compliance is a structural property, not an administrative layer.

GCP Professional Cloud Architect

Google Cloud · Enterprise-scale architecture

GCP Professional ML Engineer

Google Cloud · ML systems and MLOps

GCP Generative AI Leader

Google Cloud · Vertex AI and agentic systems

TOGAF 10

Enterprise architecture framework

SAFe SPC 6.0

Scaled agile delivery

SAFe SA

Agile solution architecture

How a Data Domine engagement works.

Every engagement is scoped to your situation. The process is the same — direct, prepared, and precise.

01

Discovery — map your systems and your situation

A 30-minute call where we understand your AI portfolio, the regulatory frameworks relevant to your markets, and the architecture decisions ahead. You leave knowing exactly what the engagement looks like and what it delivers.

02

Examination — read the architecture directly

We examine the systems themselves. Data flows, decision pathways, inference mechanisms, human touchpoints, vendor integrations, audit log structures. Built from architectural evidence that holds up under regulatory scrutiny in any jurisdiction.

03

Delivery — architecture your organisation can rely on

A signed Architecture Decision Record with a clear compliance roadmap, or a redesigned production system where regulatory requirements are embedded as structural constraints. The documentation follows naturally from the architecture.

STRATEGY Your AI vendor is not responsible for your compliance. You are. March 2026 · 6 min read GOVERNANCE What the EU AI Act actually requires of your board. March 2026 · 5 min read RISK Shadow AI is your fastest-growing compliance exposure. February 2026 · 4 min read All articles →

Thinking on AI governance for the people accountable for it.

Written for executives and legal leaders making consequential decisions about AI — not for developers. Three categories: Strategy, Governance, Risk.

Your AI vendor is not responsible for your compliance. You are.

What the EU AI Act actually requires of your board.

Shadow AI is your fastest-growing compliance exposure.

Why strong AI governance enables faster deployment.

View all articles →

AI governance regulation is permanent and expanding.

The EU AI Act is in active enforcement. The UK, Canada, Singapore, and the US are accelerating their own frameworks. Every AI system your organisation deploys from this point forward deserves architecture built to be trusted — by any regulator, at any audit, in any market you operate in.

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