How do you get real-time visibility into cash positions across multiple markets and currencies?

The lag in your cash position comes down to timing. Accounting systems typically update after settlement rather than at the point of payment, so the balance on screen reflects where funds were, not where they are now.

The scale of most enterprise payment setups makes this worse. The average business manages more than 40 bank accounts across five or six primary banking relationships, often layered with a dozen or more payment and payout providers. Each runs on its own settlement cycle and reporting cadence, so confirmation that funds have landed arrives at a different pace depending on the account or provider.

This becomes even more complicated when you factor in:

• Local settlement cycles: Money moves through independent banking structures in each country, each with its own cutoffs and cadence.

• Manual connections: Around half of corporate treasurers still rely on host-to-host bank connections rather than real-time API integrations.

As a result, treasury teams spend roughly 10% of their time just visualising accounts, and CFOs spend 17% on liquidity management.

Before evaluating tools to fix this, it helps to pinpoint exactly where visibility breaks down. There are three distinct failure areas, and each needs a different solution.

Layering a TMS or ERP on top of fragmented bank feeds solves aggregation, but not latency. Real-time visibility ultimately requires real-time data at the source, not just a faster way of viewing old data.

API connectivity is becoming the standard for financial product providers, but adoption remains uneven because of the complexity and migration risk involved.

Rather than migrating an entire stack at once, prioritise API connectivity for your highest-volume or highest-value flows first. Where existing banking relationships can't support real-time API connectivity, it's worth assessing whether a platform with native banking infrastructure could replace those relationships rather than just supplement them.

For example, Adyen connects directly to payment rails and card schemes and holds banking licenses in the US, UK, and EU. This cuts the intermediaries that introduce data latency between payment and visibility.

A global cash position visible in one place, without manually consolidating across statement formats and time zones, is hard to achieve when funds are spread across different banks, payment providers, and markets.

Virtual and multi-currency accounts can cut the number of physical accounts needed, while still preserving the market-level granularity required for FX management and local compliance. For example, Adyen's Intelligent Money Movement solution includes Enterprise Accounts that let you create accounts with integrated transfers, giving finance teams full visibility of global finances without managing multiple banking relationships.

Real-time payment data is only useful if it flows into the systems where liquidity decisions are made. A payment platform that reports separately from your ERP still leaves a reconciliation gap.

Deep integration between the payment platform, ERP, and TMS lets cash forecasting incorporate live inflow data instead of relying on projected or historical settlement patterns. Without it, you'll fall back on manual bridges such as spreadsheets, scheduled exports, and bespoke reconciliation processes, all of which cost time and introduce error.

With Adyen, payment and liquidity data is structured to integrate into enterprise finance systems, so treasury teams can build real-time fund positions into forecasting workflows rather than working from lagged bank data.

More than 25% of CFOs cite optimising liquidity as a critical challenge, and much of that difficulty stems from poor data quality and fragmentation rather than the forecasting methodology itself.

Accurate forecasting depends on knowing where funds are and how they move. Without that, you're forced to maintain oversized cash buffers to cover variability you can't see.

With consolidated, real-time inflow and outflow data, forecasting models can incorporate seasonality, planned payments, and settlement patterns to predict cash requirements across daily and weekly horizons. This lowers the need for idle safety buffers. For example, Adyen provides a unified view across pay-ins and payouts, allowing for more accurate liquidity forecasting, so your treasury teams can model cash positions dynamically rather than from static end-of-day snapshots.

Cash sitting idle in operating accounts, earning nothing, is what poor visibility actually costs you. Once you can see cash across markets and currencies in real time, that excess liquidity stops sitting there and starts working. With Adyen, cash positions are monitored continuously, so excess funds can move into higher-yield instruments instead of sitting idle.

Real-time visibility isn't a single fix. It comes from closing the gap at each point funds move through your systems: API connections instead of batch feeds, a consolidated account structure instead of scattered accounts, and payment data that flows straight into your ERP and TMS.

Adyen brings these pieces together on one platform, so payments, payouts, and account infrastructure run through the same source rather than being stitched together after the fact. That's what makes it possible to see cash positions as they actually stand, not as they stood at the last settlement batch, and to put idle funds to work instead of leaving them sitting still.

If you’d like to explore how we can help you improve your real time cash visibility, get in touch.