The €35 million coin flip

What’s the most you ever lost on a coin toss? This is a line from a famous movie but has particular resonance in the stakes for AI governance adoption. Because, when it comes to the EU AI Act, the stakes could not be higher: non-compliance penalties can reach €35 million or 7% of global turnover. 

But the most pressing question isn’t whether you can afford governance—it’s whether you can afford to find yourself on the wrong side of this coin flip. We explore both sides of the coin below and how to position your organisation to land right side up.. 

Heads: the barrier side of the coin

For most organisations, AI governance feels like a barrier where compliance kills innovation. This perception isn’t unfounded; the risks of ungoverned AI are profound and multifaceted across four critical dimensions:

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Financial exposure

EU AI Act penalties up to €35M or 7% global turnover, with similar regulations rapidly emerging worldwide

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Reputational damage

Non-compliance erodes customer trust and investor confidence in an increasingly AI-sceptical market

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Operational disruption

Regulatory scrutiny creates project delays, innovation bottlenecks, and resource drain

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Ethical implications

Misuse of sensitive data leads to privacy breaches, bias incidents, and legal penalties

Compounding these risks is the widespread, unauthorised use of AI tools across organisations.  The numbers reveal the alarming scale of this ungoverned adoption.

This creates a perilous environment where organisations face urgent pressure to innovate while risks go unmanaged.

Key challenges include:

  • Expanding risk surface: AI capabilities outpacing management frameworks
  • Tool and team silos: Disconnected systems creating governance blind spots
  • Fragmented standards: Complex AI regulations across jurisdictions
  • ROI pressure: Proving governance value to stakeholders
  • Innovation barriers: Compliance seen as hindering speed and creativity
  • AI literacy gap: Organisational understanding lagging behind technology

Tails: The advantage side of the coin

But there’s another side to this coin. What if governance doesn’t slow innovation—it accelerates it?

While most organisations grapple with the complexities of AI governance, one Tier 1 UK bank successfully flipped the coin.
By implementing a proven methodology for responsible AI adoption, they didn’t just implement AI governance—they strategically leveraged it to scale from experimental use cases to 35 active Gen-AI applications across multiple departments.

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The challenge

Harness Gen-AI potential while mitigating regulatory, operational, and reputational risks in a highly regulated industry

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The approach

Established a Responsible AI board, overseeing systematic governance processes before scaling initiatives

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The outcome

35 active use cases delivering enhanced customer experiences and operational efficiency – all under responsible governance frameworks

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The impact

Setting a new industry standard for responsible AI adoption, proving governance enables rather than restricts innovation

Key success factors that flipped the coin

The bank’s transformation highlights critical factors that turn governance from a barrier into an accelerant:

  • Proactive governance: Establishing comprehensive frameworks upfront, before scaling, rather than reacting to problems after they emerge
  • Cross-functional oversight: A dedicated Responsible AI board ensuring seamless alignment and collaboration between innovation and compliance teams
  • Compliance as enabler: Recognising regulation as the structure that enables faster, safer scaling
  • Customer-centric focus: Designing AI governance not merely to manage risk, but fundamentally to protect and enhance the customer experience

How to flip the coin

Success stories like the UK bank aren’t isolated incidents. By shifting perspective, organisations can turn governance challenges into strategic opportunities through systematic transformation:

  • Risk management becomes innovation catalyst: Rather than viewing compliance as constraint, treat it as the foundation for confident scaling
  • Strategic integration breaks silos: Governance frameworks foster collaboration between innovation and compliance teams
  • Early adoption unlocks advantage: Cohesive frameworks adopted early create competitive differentiation
  • Governance metrics drive value: Transform compliance measures into drivers of measurable business impact
  • AI literacy builds capability: Establishing governance competency attracts top talent and embeds confidence

Organisations consistently achieving this transformation typically follow a systematic, step-by-step approach that treats governance as an enabler from day one. We’ve refined such an approach through extensive experience with leading organisations,  including the Tier 1 UK bank highlighted earlier and through our partnership with Credo AI, Microsoft’s AI governance tool of choice to deliver governance that is both strategic and standards-aligned.

Our methodology

Our methodology is powered by sophisticated, end-to-end governance platforms, such as those supported by Credo AI, that provide the essential infrastructure for systematic AI scaling:

  • Traceability

    Complete audit trails for all AI initiatives, ensuring transparency, accountability, and demonstrable compliance

  • Alignment

    AI projects that meet both your strategic business objectives and critical regulatory requirements

  • Transition

    Facilitating smooth and secure scaling of AI from pilot projects to full production environments

  • Continuous governance

    Enabling ongoing monitoring, real-time risk assessment, and dynamic compliance management throughout the AI lifecycle

The coin is still in the air

With regulatory deadlines looming and customer trust becoming a key differentiator, the opportunity to flip the coin is closing fast. Competitive early adopters are beginning to differentiate in the market, and top AI talent increasingly seeks organisations with mature responsible AI practices.

The human-centred approach

While frameworks and technology are critical, real AI governance transformation relies on a human-centred approach. Our responsible scaling of AI is driven by:

  • Values-driven: Core principles of honesty, integrity, and a customer-first philosophy guide our governance frameworks
  • Experience-backed: Our expertise spans advanced AI technology and regulatory compliance, forged through years of successful transformations
  • Balanced focus: We prioritize customers, employees, and organizational health for sustainable AI success beyond mere technical implementation
  • Partnership mindset: We engage collaboratively, providing ongoing support to navigate challenges

Our journey with the Tier 1 UK bank, from AI experimentation to 35 governed Gen-AI use cases, proves that the coin can be flipped. Responsible governance doesn’t slow innovation—it builds the structure and confidence to accelerate it.

The question isn’t whether you can afford AI governance. With €35M penalties, reputational risks, and competitive pressures at stake, the question is whether you can afford to land on the wrong side of the coin flip.

Next steps

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Assess

Where does your organisation currently stand? What AI initiatives are running without governance oversight?

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Align

Bring stakeholders together around the governance-as-accelerator mindset.

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Act

Implement a systematic governance framework that enables rather than restricts innovation.

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Accelerate

Scale AI initiatives under responsible oversight, turning compliance into competitive advantage.

The coin is still in the air. Which side will you choose to land on?

Whether you need to quickly assess and mitigate immediate AI risks with our Rapid Governance Assessment, or establish robust, scalable, organisation-wide AI governance, supported by our partnership with Credo AI, through our Robust Governance Catalyst, we are here to help you land on the winning side.

Ready for your transformation?

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