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  <title>Making AI work in treasury &amp; capital markets</title>
  <description>AI is everywhere in banking, yet in Treasury and Capital Markets, results remain frustratingly mixed.

Why do some AI initiatives transform funding, liquidity, and risk decisions, while others quietly stall after the pilot phase?

On the next episode of out Liquidity Talks live series, we cut through the noise to explore where AI genuinely delivers measurable value and where it fails due to poor data foundations, weak governance, regulatory friction, and unclear operating models.

We'll be discussing how Treasury leaders can move beyond experimentation into controlled, production-grade AI deployments that enhance decision-making rather than introduce new risk.

Join our host and Planixs CEO &amp; Founder, Neville Roberts (https://www.linkedin.com/in/neville-roberts-92780313/) in this latest episode of Liquidity Talks as he speaks with Chetan Joshi (https://www.linkedin.com/in/chetannjoshi/) , Founder &amp; Director at coglateral.ai (http://coglateral.ai/) , to explore:

✅ How AI is improving funding optimisation, liquidity forecasting, and intraday risk visibility
✅ Why AI initiatives in Treasury stall: data, governance, trust, and integration challenges
✅ Regulatory, model risk, and explainability considerations in Capital Markets
✅ Practical pathways from pilot to production, and how AI should complement human judgement</description>
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