Hello Hello,
Within GRC, I sometimes think the “R” gets the least attention.
Compliance is easier to recognise. It has deadlines, external expectations, audit findings, and a clear sense of what happens when we miss the mark. It can feel like it has been forced down our throats.
Risk is different.
Risk asks a business to look ahead, sit with uncertainty, and make a choice. What are we willing to live with? What needs to change? What deserves leadership attention now, rather than later?
That is why articulating risk well can feel like an extreme sport.
A risk statement has to carry many layers at once: the technical reality, the control environment, the business context, the evidence available, the uncertainty that remains, and the decision that is needed. The difficult part is not making it sound more serious. The difficult part is telling the story clearly enough that someone can act on it.
And that leads to a question I have been thinking about a lot: how do we translate a complex risk into a story that lands with the people who need to make a decision, without watering down what makes that risk real?
The “Level Up” Dilemma
If you work in this space, you have likely heard the phrase, “We need to level up this risk for the executive team.”
But levelling up a risk does not mean minimising its severity or losing the core facts. It is about elevating the context. The journey of making complex security considerations accessible requires us to translate technically difficult topics into simple, clear narratives.
A C-suite decision-maker does not need to know the intricate mechanics of an unpatched server. They need to know how that vulnerability threatens their strategic objectives.
The Risk Storytelling Framework
How do we tell good stories that enable informed decision-making? A compelling risk narrative follows a distinct structure that bridges the gap between technical reality and business impact:
1. Set the Scene: The Business Objective
Ground the risk in something the executive already cares about. Are you launching a new digital platform? Expanding into a new market? Start there.
2. Introduce the Conflict: The Threat
Clearly state the specific technical or operational threat, keeping jargon to an absolute minimum.
3. Raise the Stakes: The Impact
This is where the risk becomes real. Detail exactly what happens if the threat materialises in terms of financial loss, reputational damage, operational disruption, or regulatory fallout.
4. Present the Resolution: The Decision
Do not just drop a problem on the table and walk away. Present clear, actionable mitigation strategies. You are framing a business choice, not just a security warning.
Accelerating the Translation with AI
Translating technical data into a strategic narrative is time-consuming. It requires constant context-switching between tactical analysis and high-level business strategy. This is where AI can become a powerful efficiency tool for the initial translation.
Using an enterprise-approved LLM, or anonymised data where appropriate, you can generate an immediate baseline draft with a prompt like this:
Act as a corporate risk advisor. Translate this technical network vulnerability into a concise, strategic business risk narrative for a CFO. Focus on financial impact and operational downtime, and present two clear mitigation options.
AI can act as a baseline translator, helping you move from technical jargon to a structured executive summary more quickly. You then apply your internal organisational context to refine the narrative, making sure the final output reflects your specific business environment and risk appetite.
Making Risk Stick
When we tell better stories, we build a better risk culture.
The more we can bring people along on the risk journey by explaining the “why” in a language they understand, the better the collective outcome. Security stops being viewed as a bureaucratic roadblock and becomes a critical business enabler.
By mastering this translation, we can make sure the “R” in GRC gets the attention it deserves.
Until next time,
Princess David Okoro, CISM
Creator, The AI GRC Desk


