𝐓𝐡𝐞 4 𝐍𝐈𝐒𝐓 𝐀𝐈 𝐑𝐌𝐅 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬 𝐄𝐯𝐞𝐫𝐲 𝐂𝐈𝐎 𝐌𝐮𝐬𝐭 𝐊𝐧𝐨𝐰

CIOs are no longer just tech stewards; we’re risk managers, trust builders, and AI governors. As AI reshapes core processes in healthcare and finance, the stakes are higher than ever. 

𝐓𝐡𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐢𝐬𝐧'𝐭 𝐢𝐟 𝐰𝐞 𝐚𝐝𝐨𝐩𝐭 𝐀𝐈, but how safely and responsibly we scale it.

That’s why the 𝐍𝐈𝐒𝐓 𝐀𝐈 𝐑𝐢𝐬𝐤 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 (𝐀𝐈 𝐑𝐌𝐅) matters.

As CIOs, 𝒂𝒍𝒊𝒈𝒏𝒊𝒏𝒈 𝒐𝒖𝒓 𝑨𝑰 𝒊𝒏𝒊𝒕𝒊𝒂𝒕𝒊𝒗𝒆𝒔 with the RMF’s four functions, Govern, Map, Measure, and Manage, isn't just best practice. It’s leadership.

🔹 Govern – Set the tone at the top. Define clear policies, accountability, and oversight structures to ensure AI aligns with ethical and regulatory expectations.

🔹 Map – Understand the context. Identify where AI is used, who it affects, and the potential downstream risks from biased credit models to opaque clinical tools.

🔹 Measure – Bring in evidence. Monitor bias, performance, and security with metrics that surface risks before they turn into failures.

🔹 Manage – Act on what you learn. Prioritize risks, adjust controls, prepare for incidents, and continuously adapt. This is where resilience is built.

👉 Whether you're deploying diagnostic AI in hospitals or fraud detection in finance, the message is the same: 

You can't govern what you don't map, measure, and manage.

Has your org begun aligning with the AI RMF?