Skip to content
PRAXIS

02.4Digital, Data & AI

AI ethics & governance

Risk, policy, and regulatory compliance around AI use. Board-level; regulated industries pay premium.

The engagement

The policy, risk, and accountability behind responsible AI.

AI ethics and governance is risk, policy, and regulatory compliance around AI use — the board-level work of making sure the AI a company deploys is accountable, defensible, and inside the lines of a fast-moving regulatory landscape. Regulated industries pay a premium for it, because the downside of getting it wrong is measured in more than money.

We help boards and executives put real governance around AI: the policies, review processes, and accountability structures that let a business move fast without moving recklessly. The engagement produces a governance framework you can stand behind — to a regulator, a board, or a customer — grounded in the current rules rather than in wishful thinking.

Practice
Digital, Data & AI
Typical buyer
Boards, GCs & risk leaders
Reach
Worldwide

What you get

Governance you can defend to a regulator and a board.

This is board-level, defensibility-first work. The deliverables are the structures that let a business use AI without betting its reputation on it.

  1. 01

    An AI risk assessment

    Where your AI use creates legal, ethical, and reputational exposure — mapped against how the systems are actually deployed.

  2. 02

    A governance framework

    The policies, roles, and review gates that make AI decisions accountable — proportionate to risk, not bureaucratic for its own sake.

  3. 03

    A regulatory read

    How the current and emerging rules apply to your specific use cases, translated from legal text into operating requirements.

  4. 04

    Review and escalation processes

    How high-risk AI decisions get reviewed, by whom, and when they escalate — the mechanics of accountability, not just a policy PDF.

  5. 05

    A board-ready position

    A clear articulation of your AI governance posture that a board, regulator, or customer can scrutinize and trust.

How we work

Assess, frame, govern.

  1. 01

    Assess

    We map where your AI use creates real legal, ethical, and reputational risk, grounded in how the systems are actually deployed.

  2. 02

    Frame

    We design governance proportionate to that risk — policies and review gates that hold up to scrutiny without grinding the business to a halt.

  3. 03

    Govern

    We stand up the review and escalation mechanics and a board-ready position, so accountability is a working process, not a document.

Questions

Before you reach out.

Is this legal advice?
No — we're strategy and governance advisors, not your counsel. We translate the regulatory landscape into operating structures and work alongside your legal team; we don't replace it.
Why does this sit at board level?
Because AI governance is a risk-and-accountability question, and in regulated industries the exposure is existential. It belongs where the buck stops, not buried in an implementation team.
How is a AI ethics and governance engagement scoped?
Around the decision, not a package. We agree what has to be answered, what evidence that takes, and how long it should run — then quote that. A first call is a scoping call, with no obligation and no packaged pitch, and the quote is free.

Bring us the AI risk your board is starting to ask about.

Tell us where your AI use is running ahead of your governance. A first conversation is a scoping conversation, in full confidence.

No obligation · a scoping conversation first