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Article
How AI is Turning Trusted Data Into Treasury Advantage
Artificial intelligence is beginning to reshape balance sheet management, but its success depends on trusted data, strong governance, and explainable decision-making. Jyothi BS explains why institutions that use AI to strengthen expert judgment, rather than replace it, will be best positioned to manage future treasury and risk challenges.
Aug 11, 2026
Center for Financial Professionals ,
Tags:
ALM, Treasury and Liquidity Risk
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- Trusted, harmonized
data is the foundation for effective AI in balance sheet management
- AI delivers the
greatest value through pattern recognition, decision support, and
optimization
- Explainability,
auditability, and strong data lineage are essential for regulated
financial institutions
- Treasury, finance,
and risk professionals remain accountable for final decisions despite AI
recommendations
- Banks that combine
trusted data, governance, and AI-driven decision support will gain a
competitive advantage over the next five years
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