Artificial Intelligence in Treasury – from periodic financial reporting to a continuous management function
NEWS 01/2026
Real-time payments, 24/7 availability of payment infrastructures, shorter settlement cycles such as T+1, volatile markets and new digital asset classes are forcing treasury functions to take on a new role. Treasury is evolving from a function that operates on a periodic basis into a permanent management body.
- A joint perspective from the banking and corporate sectors
- A new concept of liquidity for banks and corporates
- Inter- and intraday liquidity management as a key use case
- Dynamic currency management instead of static hedges
- An end-to-end approach: Treasury in 24/7 operation
- AI and blockchain as complementary enablers
- AI is not an IT project – it is a transformation initiative
- Conclusion
A joint perspective from the banking and corporate sectors
For decades, treasury operations were clearly structured: daily closings, cut-off times, periodic forecasts and historically established management frameworks formed the backbone of liquidity and risk management – both in bank treasury departments and in the treasury functions of large corporations.
In a world with clear time windows, predictable cash flows and sufficient reaction time, this model works well. Yet it is precisely these framework conditions that are currently breaking down.
Real-time payments, 24/7 availability of payment infrastructures, shortened settlement cycles such as T+1, volatile markets and new digital asset classes are forcing treasury functions into a new role. Treasury is evolving from a periodic function into a permanent control centre.
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