Service S.08 · AI Governance & Compliance

AI you can defend in front of an auditor.

The EU AI Act is in force, NIST AI RMF is becoming the reference, and your board is asking about AI risk. We build the controls, evals, and documentation that let you answer with evidence, embedded in your systems rather than filed in a binder.

Book a compliance assessment See the frameworks

30 minutes · an engineer, not a salesperson

EU AI Act
Risk classification & documentation
NIST AI RMF
Govern · Map · Measure · Manage
ISO/IEC 42001
AI management system readiness
2–4 wks
To a completed risk assessment

The regulatory landscape · 01

AI moves fast. Regulators have caught up.

The EU AI Act carries penalties of up to 7% of global turnover. NIST AI RMF is the reference framework in the US. Every public AI failure raises the bar for everyone else.

Most companies deploy AI faster than they can govern it. Bias, hallucinations, and documentation gaps accumulate quietly until a regulator, a customer security review, or an incident forces the question.

We embed governance into the AI lifecycle itself, from model selection to production monitoring, so compliance is a property of the system, not a project bolted on afterward.

Risk register · what we mitigate

R.01 Regulatory non-compliance and fines
R.02 Hallucinations and false outputs
R.03 Algorithmic bias and discrimination
R.04 Harmful or unsafe outputs
R.05 Audit failures and documentation gaps
R.06 Model drift and performance decay

Frameworks · 02

The standards we work to.

From binding regulation to voluntary frameworks and sector guidance, mapped to your systems with the evidence to show for it.

F.01

EU AI Act

The first comprehensive AI regulation. We classify your systems by risk tier, implement the required controls, and maintain the technical documentation the Act demands.

  • ·Risk classification
  • ·Conformity assessment prep
  • ·Technical documentation
F.02

NIST AI RMF

The reference framework for AI risk management in the US. We implement its four functions (Govern, Map, Measure, Manage) as working practice, not shelfware.

  • ·Risk governance
  • ·Impact assessments
  • ·Continuous monitoring
F.03

ISO/IEC 42001

The international AI management system standard. We build the AIMS and prepare you for certification by an accredited body. We don't certify, we make you certifiable.

  • ·AIMS implementation
  • ·Certification readiness
  • ·Audit support
F.04

Responsible AI Practice

Beyond compliance: AI that holds to your own standards. Ethics review, stakeholder engagement, and transparency practices you can publish without flinching.

  • ·Ethics frameworks
  • ·Transparency reporting
  • ·Stakeholder input
F.05

Sector Guidance

Regulated industries carry their own AI requirements. We work to FDA guidance for healthcare AI/ML, Fed and OCC expectations for financial models, and sector best practice elsewhere.

  • ·FDA AI/ML guidance
  • ·Financial model risk
  • ·Sector best practices
F.06

AI Policy Development

Custom AI policies, acceptable-use guidelines, and governance structures fitted to your risk appetite, written to be followed and short enough to be read.

  • ·AI use policies
  • ·Governance boards
  • ·Training programs

Technical controls · 03

Guardrails that actually work.

Governance is not a policy PDF. It is technical controls embedded in the AI system, such as input validation, output filtering, bias detection, and monitoring, that stop problems before they reach a user.

Each control ships with the eval that measures it, so you know it works and can prove it later.

C.01 Hallucination guardrails RAG grounded in verified sources, confidence scoring, output validation, and source attribution on every answer.
C.02 Bias detection & mitigation Fairness metrics across demographic slices, adversarial testing, and debiasing applied to data and models.
C.03 Model monitoring Performance tracking in production, drift detection, and automated alerting when behavior moves out of bounds.
C.04 Audit logging Full traceability of inputs, outputs, and decisions: the evidence trail your compliance audits will ask for.

How it works · 04

From risk assessment to standing governance.

A structured sequence that embeds governance into the AI lifecycle without stalling delivery. Every step ends in an artifact you keep.

STEP 01

Risk Assessment

We inventory your AI systems, classify them under the frameworks that apply, and identify the gaps.

You keepA risk register and gap analysis.

STEP 02

Framework Design

Governance structure, policies, and technical control specifications mapped to your obligations.

You keepA control map and a policy set.

STEP 03

Implementation

Guardrails, evals, monitoring, and audit logging wired into your AI infrastructure.

You keepControls running in production, documented.

STEP 04

Ongoing Governance

Continuous monitoring, periodic reviews, and updates as regulation and your systems evolve.

You keepDashboards, a review cadence, an evidence trail.

SOC 2 aligned controlsSOC 2
Aligned
GDPR-ready data handlingGDPR
Ready
HIPAA-conscious architectureHIPAA
Conscious
ISO 27001 informed practicesISO 27001
Informed
Our own security posture, documented · Trust Center

FAQ · 06

Common questions

Does the EU AI Act apply to my company?+
If you place AI systems on the EU market, serve EU customers, or your AI outputs are used in the EU, the Act likely applies. Its reach extends beyond EU borders, similar to GDPR, and obligations phase in by risk class. A short assessment tells you which tier you fall into and what that requires.
How do you prevent AI hallucinations?+
Layered controls: retrieval-augmented generation grounded in verified sources, confidence thresholds, output validation, and human review on high-stakes decisions. Every control is measured with evals against your real data, not asserted.
How do you detect and mitigate AI bias?+
Statistical analysis and fairness metrics across demographic slices, plus adversarial testing of both training data and model outputs. Mitigation combines data augmentation, algorithmic debiasing, and continuous monitoring in production.
How long does a governance engagement take?+
A risk assessment takes 2–4 weeks. Full framework implementation typically runs 2–4 months depending on scope, with continuous monitoring and periodic reviews after that.
Can you retrofit governance onto existing AI systems?+
Yes. We add guardrails and monitoring to systems already in production, document what is running today, and close gaps against the frameworks that apply to you, without a rebuild.
What about AI systems from third-party vendors?+
We assess vendor AI against your obligations, wrap additional guardrails around third-party systems where needed, and set up a vendor review process for ongoing oversight.

Get started · 30 MIN

Talk to an engineer,
not a salesperson.

A free 30-minute technical consultation: your goals, your constraints, and a straight answer on whether AI is worth it for your case.

Book a discovery call

Prefer email? info@euforic.io

No commitment. No deck. Just engineering.