Treasury glossary

Treasury and cash management terms, explained simply.

AI Cash Flow Forecasting

AI cash flow forecasting uses machine learning to predict future cash inflows and outflows based on your historical data, business context, and live transactional feeds.

What Is Bank Reconciliation? Bank reconciliation is the process of comparing your company's internal financial records against bank statements to confirm they match, and investigating any differences.

Cash Pooling

What is cash pooling? Cash pooling is a treasury technique that consolidates cash balances across multiple bank accounts or subsidiaries into a single structure, giving the group full cash…

Cash Variance Analysis

What Is Cash Variance Analysis? Cash variance analysis is the process of measuring the difference between your forecasted cash flows and what actually happened, and understanding why the gap exists.

Cash Visibility

What is cash visibility? Cash visibility is the ability to see your company's complete cash position; across every bank account, entity, and currency in real time.

Does AI replace a treasury management system (TMS)?

No. AI complements a TMS rather than replacing it. A TMS holds the system of record for payments, bank connectivity, and deal capture; AI adds the intelligence layer above it.

How accurate is AI cash flow forecasting?

AI cash flow forecasting cuts forecast variance by over 60% against manual spreadsheet methods. Accuracy depends on categorisation quality, data history, and flow type, not on the model alone.

How do you choose an AI treasury platform?

Judge an AI treasury platform on five criteria: native vs bolted-on AI, learning from corrections, traceability to source data, integration coverage, and time to value.

How do you implement AI in treasury, and how long does it take?

Start with one high-frequency process, usually cash forecasting or categorisation, and prove it before expanding. An AI layer over existing systems deploys in weeks. Palm averages around 18 days.

How is AI used in treasury management?

AI in treasury management automates six core workflows: cash flow forecasting, transaction categorisation, liquidity positioning, variance analysis, policy compliance monitoring, and routine reporting.

Idle Cash

What Is Idle Cash? Idle cash is money sitting in bank accounts earning little or no return.

Liquidity Management

What Is Liquidity Management? Liquidity management is the process of ensuring a company always has enough cash to meet its obligations: payroll, supplier payments, debt service, and operational…

Palm vs Kyriba

Palm vs Kyriba compared. See how treasury teams modernize Kyriba with Palm's AI cash forecasting, unified data and self-serve reporting, without a multi-year rip and replace.

Real-Time Cash Position

What Is a Real-time Cash Position? A real-time cash position is an up-to-the-minute view of how much cash your company holds across every bank account, entity, and currency, updated continuously as…

Rolling Cash Forecast

What Is a Rolling Cash Forecast? A rolling cash forecast is a continuously updated projection of future cash flows that covers a fixed forward horizon, typically 13 weeks, 6 months, or 12 months,…

The 8 Best Treasury Platforms for Cash Forecasting in 2026

A ranked comparison of the top 8 treasury platforms for cash forecasting in 2026 — Palm, Kyriba, HighRadius, Trovata, Ripple Treasury, Nilus, Panax, and Agicap — with strengths, trade-offs, deployment time, and pricing.

Treasury AI in 2026 guide: Build in house vs Buy AI layer on top

A 2026 build-vs-buy guide to treasury AI: why buying a treasury-native AI layer on top of your existing TMS beats building in-house or extending a generic co-pilot, with a cost and time-to-value comparison and a decision framework.

Treasury Management System

What Is a Treasury Management System? A treasury management system (TMS) is software that centralises a company's treasury operations: cash management, payments, risk management, debt tracking, and…

What are the benefits of AI in treasury?

AI in treasury delivers five measurable benefits: sharper forecasts, reclaimed analyst time, lower idle cash balances, faster onboarding, and continuous control.

What are the risks of using AI in treasury?

The main risks of AI in treasury are data security, unexplainable outputs, model drift, and unscoped autonomy. Mitigate them with full audit trails, scoped permissions, and human approval on anything that moves money.

What is agentic AI in treasury?

Agentic AI in treasury describes systems that reason, plan, and act towards a goal rather than waiting for a prompt, bounded by autonomy levels, approval thresholds, and audit trails.

What is AI cash flow forecasting and how does it work?

AI cash flow forecasting uses machine learning to predict cash inflows and outflows from your own transaction data, forecasting by entity, currency, and account and rebuilding itself daily as new data arrives.

Will AI replace treasurers?

No. AI replaces treasury tasks, not treasury roles. It absorbs categorisation, reconciliation, and forecast rebuilds, while treasurers keep the decisions and the accountability.

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