Responsible AI · Governance · Leadership

Responsible AI your board
can stand behind.

Trust is what lets AI scale. Without it, good projects stall in legal review, customers hesitate and boards say no. I help leadership teams decide who owns AI, where the risks sit and how people stay in control, so AI can grow with confidence and meet the EU AI Act along the way.

Book a 30-Minute Call How I Help →
The leadership questions

Four questions every leadership team should be able to answer

Responsible AI is not a compliance checklist. It is a set of leadership decisions, and most organisations have not made them yet.

Value & risk
Where is AI creating value, and where is it creating risk?

A clear view of every AI system in use, including vendor tools, and which ones matter most to customers, revenue and reputation.

Ownership
Who is accountable for each AI system?

Named owners, clear decision rights and a simple gate before anything new goes live, so responsibility does not fall between IT, legal and the business.

Human control
How do people stay in control?

Human oversight that works in practice for high-stakes decisions, and clear rules for AI agents that can act on their own.

Trust & evidence
Can we show it to the board, customers and regulators?

A short, board-ready view of your AI posture that answers enterprise customers, auditors and the EU AI Act with confidence.

How I help

From principles to practice

Delivered by me personally, scoped to your size and pace.

4–8 weeks
Responsible AI Strategy & Operating Model

For organisations scaling AI that need governance which enables growth instead of blocking it.

  • Responsible AI principles tied to your business strategy
  • Roles, decision rights and an AI governance board
  • A lightweight approval gate for new AI use cases
  • A roadmap your teams can execute
2–4 weeks · fixed fee
AI Readiness Review

For leadership teams who want to know where they stand, including under the EU AI Act.

  • Inventory and risk classification of your AI systems
  • The priority gaps, explained in business terms
  • A 90-day plan with owners
  • Technical testing by your team, guided by me, where evidence is needed
Half or full day
Board & Leadership Briefing

For boards and executive teams who carry accountability for AI they do not run day to day.

  • What directors and executives must own
  • The questions to ask management
  • Your organisation's top AI risks and opportunities
Ongoing
As Part of a Fractional CAIO Role

For companies that want Responsible AI built into how AI is led, not added afterwards.

Track record

I have done this before the rules required it

17
Countries, GDPR 18 months early

At 4Finance I led GDPR across all 17 markets ahead of enforcement, with zero issues at go-live.

45+
Enterprise accounts governed

At Zeta Global I put model auditing, human-in-the-loop decisions and drift monitoring in place years before the EU AI Act.

MSc
Responsible AI, taught today

As Professor of AI at SRH Hamburg, I teach Responsible AI and lead research on trustworthy AI and LLM governance.

Let's talk

Make AI something your board can trust.

A 30-minute conversation about where your AI stands and what to decide next.

Book a 30-Minute Call Take the Free Governance Check →

For technical teams: the ACAI assessment methodology