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The Executive Guide to Treasury Software

A decision guide for CFOs and treasurers selecting a treasury management system — what modern treasury is, how to evaluate the platforms, where AI fits, and which solution suits your organisation. It educates first, frames the decision second, and only then helps you evaluate software.

1 · Executive summary

Treasury has moved from a specialist back-office function to a board-level concern. Higher interest rates, banking-sector shocks, FX volatility and a relentless focus on liquidity have made the question "how much cash do we have, where, and what is it exposed to?" one that CFOs and boards now ask continuously — and expect answered in hours, not days. That shift, plus a fast-moving technology market and an emerging AI wave, has made selecting a treasury management system genuinely consequential. This guide is written for finance leaders who must choose well: it defines modern treasury, gives you a decision framework, is honest about where AI does and does not help, and recommends platforms by organisation, not by leaderboard. The central message is simple: get cash visibility and control right first; the software is the enabler, not the strategy.

2 · What is modern treasury?

Treasury is the discipline that safeguards and mobilises the organisation's cash and manages its financial risk. Within the finance operating model it sits alongside the controllership (which records what happened) and FP&A (which plans what should happen next); treasury owns the cash, the funding and the financial risk that make the plan executable. Its objectives are to ensure the business always has the liquidity it needs, to fund the organisation efficiently, to protect it from financial risk, and to support capital allocation with an accurate picture of available cash.

Treasury's relationships define it. With FP&A, it shares the forecast: FP&A plans the P&L and the business, treasury turns that into a cash and liquidity forecast and funds it. With accounting, it shares the ledger: treasury executes and controls payments and market transactions that accounting records and reconciles. Around these sit its core mandates — liquidity management (visibility and positioning of cash), funding (debt, investment and the efficient use of capital), financial risk (FX, interest-rate and commodity exposure), and support for capital allocation. The objective of this section is to define the discipline — not the software.

3 · Core processes & deliverables

Before evaluating a single vendor, be clear about what world-class treasury actually does. Software exists to improve these — never to replace the judgement inside them.

4 · Modern treasury capabilities

The discipline has evolved from a spreadsheet-and-bank-portal operation toward a connected, real-time and increasingly automated one. The capabilities that define modern treasury — the things a platform should enable — are:

• Cash visibility & positioning — real-time, multi-bank, multi-entity cash as a single source of truth.
• Cash forecasting — liquidity projection across horizons, with variance analysis and AI assistance.
• Bank connectivity — multi-bank connections, statement aggregation and bank-account management.
• Treasury payments — centralised, controlled execution, payment factories and in-house banking.
• Financial risk management — FX, interest-rate and commodity exposure capture and hedging.
• Debt & investment management — funding, investing and covenant tracking.
• Treasury controls & compliance — fraud prevention, segregation of duties and auditability.

These are the capabilities we grade platforms against — see the framework and matrix below. The tool is the enabler; the capability is the point.

5 · AI in treasury

Modern treasury increasingly runs on two complementary technology layers, and confusing them is a common and expensive mistake.

Where AI creates value

Used well, AI is a genuine productivity multiplier for treasury — in two forms. Embedded platform AI is already improving cash forecasting (statistical and machine-assisted prediction, cited up to ~95% accuracy by leading vendors) and liquidity analysis. General AI accelerates the human work: drafting treasury commentary and management reporting, preparing the treasury committee pack, executive summaries of the cash and risk position, risk analysis narratives, and research on banks, instruments and vendors. It compresses the hours around the numbers.

Where AI must be governed

Treasury moves money, so the governance bar is higher than almost anywhere in finance. AI is not a system of record and must never authorise a payment on its own. The real limitations are financial controls (segregation of duties and approval limits still apply — a human authorises the payment), auditability (can you trace and defend an AI-assisted figure to a regulator or auditor), hallucination (confident, wrong outputs are unacceptable when the number funds the business), and data privacy (bank, account and position data must not leave your boundary uncontrolled). The discipline: let AI accelerate analysis and reporting, keep the governed cash, payment and risk records in the platform, and keep a human accountable for every payment and every number that reaches the board. We do not rank AI tools.

6 · When should you modernise treasury?

Most treasury transformations are triggered by pain that has become a business risk. The common triggers:

• You cannot see your cash. The group cash position takes days to assemble from spreadsheets and bank portals, and is stale before the CFO reads it.
• The banking landscape has fragmented. Dozens of banks and hundreds of accounts across entities, each with its own portal, format and login — connectivity has become the bottleneck.
• Cash forecasting is manual and unreliable. A forecast built by hand in Excel is neither trusted nor timely enough to drive a funding or investment decision.
• International expansion. New entities, currencies and banking relationships break a single-country, single-bank treasury model overnight.
• FX and interest-rate exposure is growing. The balance sheet now carries risk that needs to be captured, measured and hedged — not discovered after the fact.
• The debt and investment portfolio has outgrown a spreadsheet. Covenants, maturities, intercompany loans and investments need governed tracking.
• Fraud and compliance pressure. Payment fraud, sanctions screening and audit scrutiny make manual, uncontrolled payment processes an unacceptable risk.

Evaluate & Select

The reasoning behind the summary above — market structure, methodology, trade-offs and references, for finance transformation leaders, controllers and analysts.

7 · The executive decision framework

This is the heart of the guide. Evaluate every platform against these dimensions, weighted for your organisation — not against a feature checklist.

• Cash visibility & positioning. How completely and how quickly the platform assembles a real-time, multi-bank, multi-entity cash position — the foundation everything else rests on.
• Cash forecasting. Depth of forecasting across horizons, variance analysis and the quality (and governance) of any AI-assisted prediction.
• Bank connectivity & account management. Breadth of pre-built bank connections (host-to-host, SWIFT, API), statement aggregation and bank-account management — usually the make-or-break, and the longest, part of any implementation.
• Treasury payments. Centralised, controlled payment execution, payment factories and in-house banking — and how cleanly they enforce your controls.
• Financial risk management. FX, interest-rate and commodity exposure capture, hedging and hedge accounting — weighted heavily for global or leveraged balance sheets.
• Debt & investment management. Governed tracking of debt, investments, intercompany positions and covenants.
• Treasury controls & compliance. Payment controls, fraud prevention, segregation of duties and auditability — treasury is a prime fraud target, so this is non-negotiable.
• Integration. How cleanly the platform connects to your ERP(s), banks and market-data feeds — the data foundation of every number treasury produces.
• Implementation & scalability. Time-to-value, the internal effort to onboard banks and entities, and headroom to grow into new geographies.
• Governance & total cost of ownership. Roles, audit trail and defensibility, weighed against licence, implementation and the ongoing operating cost — not the sticker price alone.

8 · Buyer segments

Different organisations need genuinely different solutions. Segment by your organisation, then shortlist — not the other way around.

• Mid-market. A first dedicated treasury system beyond spreadsheets and bank portals; needs cash visibility, a handful of bank connections and core controls without enterprise implementation weight.
• Enterprise. Many banks, many entities and multiple currencies; weight connectivity breadth, forecasting, risk and governance across a full suite.
• Global treasury. In-house banking, payment factories, multi-currency risk and follow-the-sun operations; the domain of the comprehensive enterprise TMS.
• PE-backed companies. Tight liquidity discipline, covenant tracking and board-grade cash reporting on a fast cadence; value speed-to-value and defensibility.
• International organisations. Cross-border payments, FX exposure and fragmented banking relationships; connectivity and payments capability is decisive.

9 · Best software by scenario

Only now do we name platforms — and by scenario, not a single leaderboard, because the right treasury system depends on your organisation. Each pick is grounded in independently-graded capability support (see the matrix) and segment fit.

10 · Capability matrix

Capabilities first, vendors second. Support is an independent, evidence-backed judgement; ungraded means we do not yet hold published evidence, not that support is absent.

Why the capabilities are rated as they are

• Bank Connectivity & Account Management — high impact / high effort. The plumbing that makes treasury work; high impact. Effort high - onboarding banks and formats is the long pole.
• Cash Forecasting — high impact / high effort. High impact for liquidity decisions. Effort high - accuracy depends on data quality across banks, ERP and AR/AP.
• Cash Visibility & Positioning — high impact / medium effort. The foundation of treasury; high impact. Effort medium - depends on bank connectivity and account coverage.
• Treasury Controls & Compliance — high impact / medium effort. High impact - treasury is a prime fraud target. Effort medium; largely configuration once a platform is in place.
• Debt & Investment Management — medium impact / medium effort. Impact medium (high for leveraged or capital-intensive firms). Effort medium once the core TMS is in place.
• Financial Risk Management — medium impact / high effort. Impact medium (high for global/complex balance sheets). Effort high - modelling and accounting complexity.
• Treasury Payments & In-House Banking — medium impact / high effort. Impact medium (high for centralising payments). Effort high - controls, formats and bank onboarding.

11 · Common buying mistakes

• Buying a payments tool and calling it treasury. Payments are one capability; cash visibility, forecasting, risk and controls are the rest of the discipline — scope the whole operating model first.
• Underestimating bank connectivity. Onboarding banks, accounts and statement formats is almost always the long pole of the project; a demo never shows it.
• Ignoring the treasury process. The platform encodes whatever policy, controls and cash model you give it — fix the operating model before configuring anything.
• Treating controls as an afterthought. Payment fraud and audit exposure make segregation of duties and approval controls a core requirement, not a setting.
• Weak change management. A TMS is adopted by treasury and the banks around it; without that, the team falls back to spreadsheets and portals.
• Overbuying breadth. A global, in-house-banking suite is dead weight for a mid-market team that mainly needs to see its cash and control its payments.

12 · Implementation considerations

Selecting the platform is the easy part; the transformation is the work. Plan for:

• Treasury operating model. Decide the cash, funding, risk and payment policies — and who owns them — before configuring a platform to enforce them.
• Governance & controls. Roles, approval workflows, segregation of duties and an audit trail, designed in from the start given the fraud exposure.
• Banking integration. The connectivity plan — which banks, which channels (host-to-host, SWIFT, API), which formats — is the critical path; sequence it first.
• Data foundation. Clean bank, ERP and market-data feeds are what every cash position and forecast depends on; poor data undermines any platform.
• Rollout strategy. Start with cash visibility and one banking group, prove it, then extend to forecasting, payments, risk and debt.
• Organisational readiness. The treasury skill to run the model — and the bank relationships to onboard — are scarcer, and more decisive, than the licence.

13 · Methodology

dilynx grades vendors on the capabilities that define treasury, from cited, independent evidence — IDC MarketScape, QKS SPARK Matrix, peer-review platforms and other analyst sources — never from vendor marketing or commercial relationships. Support levels (strong · moderate · limited) are editorial judgements traced to sources; confidence rises to high only when two or more independent sources agree. Where we lack published evidence we say so rather than infer. Every grade on the matrix links to its source on the vendor's page. Full methodology → · Independence →

14 · Recommended next steps

• Review the platforms in depth — Kyriba Corp. · GTreasury · TIS (Treasury Intelligence Solutions) · HighRadius · ION Treasury.
• Compare your shortlist head-to-head in Software Comparisons.
• Benchmark your own organisation with the Executive Finance Assessment — it maps your maturity to the highest-impact move.

Executive takeaways