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Event Q&A
AI in Balance Sheet Management: From Data to Decisions
As AI reshapes treasury and risk functions, financial institutions are exploring how it can support faster, more informed balance sheet decisions. In this Q&A, Jyothi B.S explores how trusted data, explainable AI, and strong governance enable responsible AI adoption while keeping human expertise at the centre of decision-making.
Aug 07, 2026
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Jyothi B.S, Co-Founder, Group Managing Director, Surya Soft
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
- AI is helping banks transform trusted balance sheet data into faster, more informed decisions.
- A strong data foundation is essential for successful AI adoption and regulatory confidence.
- AI delivers the greatest value in pattern recognition, decision support and balance sheet optimisation.
- Explainability, auditability and clear data lineage are critical for AI in regulated environments.
- Treasury, finance and risk teams should use AI to augment expert judgement, not replace it.
- Institutions that combine trusted data, strong governance and AI-driven decision support will be best positioned to manage future balance sheet risk.
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