AI Governance, Responsible AI & Digital Ethics

One Ethix helps organisations move from AI ambition to accountable delivery with clear decision rights, usable controls, Responsible AI practices, and evidence your teams can stand behind.

Best for: AI adoption, GenAI rollout, EU AI Act readiness, policy build, governance design, risk review, and leadership alignment.

What we help you fix

AI is moving fast. Governance is often catching up.

Common problems we solve:

• AI use cases are approved inconsistently
• Ownership and accountability are unclear
• Policies exist, but teams do not know how to apply them
• Risk checks happen too late
• Evidence is scattered or missing
• Leaders need confidence before scaling AI
• Teams want to do the right thing, but lack a practical route
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Choose the support you need

01. AI Governance Consulting

Hands on support to design, build, and embed AI governance that fits how your organisation actually works.
Useful for: governance design, operating model, controls, advisory support, and responsible technology strategy.

02. AI Governance Decision Room

A focused working session to move an AI use case, risk, or governance question from debate to decision.
You leave with: owner, decision route, guardrails, evidence checklist, actions, timeline, and next steps.

03. AI Governance Baseline Sprint

A rapid review of your current AI governance position.
Covers: maturity, gaps, risks, controls, ownership, documentation, and priority actions.

04. Fractional AI Governance Officer

Senior AI governance leadership without needing a full time hire.
Supports: oversight, decisioning, governance build out, leadership advisory, team coaching, and ongoing improvement.

05. Policy, Standards and Controls

Practical policies, standards, workflows, and evidence ready controls that teams can actually use.
Includes: policy drafting, approval routes, risk checks, evidence templates, and governance documentation.

06.  Ethics and Impact Mapping

Structured support to identify risks, harms, stakeholders, trade offs, and responsible decision points.
Useful for: high impact use cases, customer facing AI, workforce impacts, sensitive data, fairness and accountability questions.

08. Responsible AI Workshops

Practical education for leaders, delivery teams, product teams, and risk and compliance stakeholders.
Focus areas: Responsible AI, digital ethics, governance in delivery, human oversight, evidence, and better decision making.

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The outcome. You get AI governance that is:

• Practical
• Proportionate
• Evidence ready
• Clear on ownership
• Built into delivery
• Easy enough for teams to use
• Strong enough for leadership, customers, and regulators

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No governance theatre. No dusty framework. Just responsible AI that works.

Need clearer AI governance?

Let’s build a responsible technology approach your teams can actually run.

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