AI in Financial Services: A Practitioner’s View

When I took the helm at Bank of Khartoum in 2006, Sudan’s banking sector was operating under near-total isolation from the global financial system. International sanctions had cut off correspondent banking relationships that most institutions take for granted.

Constraint as a Forcing Function

Conventional wisdom says digital transformation requires capital, vendor access, and stable macroeconomic conditions. We had none of these in abundance. What we did have was urgency — and urgency, applied correctly, is a more reliable driver of change than comfort ever is.

We built core banking capability with regional and domestic partners rather than waiting for Western vendors who could not, or would not, engage. This forced a discipline that, in hindsight, produced systems better suited to our market than an off-the-shelf import would have been.

We built core banking capability with regional and domestic partners rather than waiting for Western vendors who could not, or would not, engage.

Currency Volatility and Trust

The Sudanese pound’s volatility through this period tested customer confidence constantly. Our response was to over-invest in transparency: real-time balance visibility, clear multi-currency reporting, and a mobile channel that let customers see exactly where they stood, day to day.

• Real-time balance visibility
• Clear multi-currency reporting
• A mobile channel customers could trust

For banks now approaching digital transformation in other constrained emerging markets, the lesson isn’t a specific technology stack. It’s a posture: treat constraint as the design brief, not the obstacle to it.