05/05/2026
AI adoption doesn’t become risky overnight.
Problems usually appear when institutions scale faster than governance, oversight, and monitoring can keep up.
That’s why many financial institutions are taking a phased “crawl, walk, run” approach to AI implementation:
→ Start with low-risk, measurable use cases
→ Establish inventory and governance early
→ Expand adoption as controls and oversight mature
The institutions making the most sustainable progress with AI are treating it like any other high-impact enterprise technology: governed, measured, and continuously managed.
Our latest blog explores how financial institutions can pair phased AI adoption with frameworks like NIST, CRI, the EU AI Act, and ISO/IEC 42000 to support safe, scalable implementation.
Where would you say your institution is today: crawl, walk, or run?
🔗 Explore the full framework breakdown here: https://hubs.li/Q04fmNTb0