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 & Founder, Neville Roberts in this latest episode of Liquidity Talks as he speaks with Chetan Joshi, Founder & Director at 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

Real-time rails leave no room for end of day thinking.

Join us on the next episode of our Liquidity Talks Live series as we dive into live liquidity: unified data across agents and RTGS, per transaction risk controls, intraday forecasting, and automated remediation.

We’ll discuss the metrics that matter—detection, response, resolution—and how to hard wire evidence for regulators while freeing trapped liquidity for growth.

The goal: move from reactive buffers to proactive, monetisable control.

Join Pete McIntyre in this latest episode of Liquidity Talks as he speaks with Domenico Scaffidi, CEO & Founder at DS Payment , Market Infrastructure Advisor – Payments Innovation and Bank of England – Standard Advisory Panel member (SAP) to explore:

✅ Live control tower: positions, limits, queues and heatmaps across entities and currencies.
✅ Per transaction guardrails: policy checks before value leaves the bank.
✅ Automated remediation: sweeps, intraday credit usage, collateral mobilisation.
✅ Evidence on demand: lineage, timestamps and immutable logs for supervisors

As the UK and EU enter their critical "year of development" for 2027 mandates, are firms wasting billions patching legacy systems when atomic T-Zero is already here?

On the next episode of our Liquidity Talks Live series, we dissect the 2026 financial plumbing crisis: the race to T+1 settlement versus the shift to digital tokenized assets.

We will discuss the high-stakes trade-off between regulatory compliance and future-proof innovation, while revealing how AI is striving to transform the industry from a predictive, automated powerhouse. It’s a roadmap for surviving the great settlement reset.

Join Neville Roberts in this latest episode of Liquidity Talks as he speaks with Gary Wright, Director at ISITC EUROPE CIC, to explore:

✅ Current T+1 progress across UK and EU markets
✅ Integration of digital assets and the shift toward T-Zero
✅ AI Integration and the Operational benefits and systemic risks

Real-time liquidity optimisation is no longer optional, it’s essential.

With multiple payment rails, tokenized assets, and the shift toward continuous settlement, traditional buffer-based approaches fail to deliver agility or resilience.

Predictive liquidity management powered by data aggregation and AI enables proactive decision-making, anomaly detection, and intraday forecasting.

Treasury teams must evolve from reactive to predictive strategies to safeguard liquidity, optimise capital, and stay ahead in an increasingly complex financial ecosystem.

Join Neville Roberts in the first episode of Season 5 of our Liquidity Talks Live series, as he speaks with Herve Carrere, CPTO Treasury and Capital Market at Finastra, to explore:

✅ Leveraging AI and data aggregation for predictive liquidity management
✅ Payment sequencing, prioritization, and anomaly detection
✅ New operating models for continuous settlement
✅ Tokenized assets and programmable liquidity: opportunities and challenges