The 8 Best Treasury Platforms for Cash Forecasting in 2026

What is cash forecasting software?

Cash forecasting software is a treasury platform that ingests bank and ERP data, applies machine-learning or statistical models, and produces a forward-looking view of cash inflows, outflows, and net liquidity across entities, currencies, and time horizons. Modern AI-powered platforms go further: they explain variance, surface idle cash, recommend funding decisions, and learn continuously from corrections.

A good cash forecasting platform in 2026 should deliver four things:

• Accuracy. A bottom-up approach that forecasts from the transaction level up, with AI categorisation that sorts every transaction automatically and grows more accurate over time, alongside empirically selected models and daily retraining.
• Explainability. Plain-language variance explanations and bottom-up traceability from forecast back to the underlying transaction.
• Speed to value. Time-to-intelligence measured in weeks, not months or quarters.
• Audit-ready governance. Read-only architecture, full audit trails, SOC 2 Type II, and role-based access for multi-entity teams.

At-a-glance comparison: the top 8 treasury platforms for cash forecasting

1. Palm: Best treasury AI platform if you've already invested in a TMS/ERP

Positioning. Palm is treasury AI infrastructure that sits on top of your existing TMS and ERP. Rather than replacing the systems you've already invested in, it ingests your bank feeds (MT940, BAI2, ISO 20022 CAMT, custom schemas), normalises them into a single cash model, and runs an intelligence layer for forecasting, categorisation, variance analysis, and liquidity signals.

Strengths.

• Empirical model selection. Palm evaluates 18+ models (classical statistical, machine learning, and foundation models) against every time series and picks the winner for that pattern.
• Explainable AI. Every forecast comes with plain-language variance explanations and full bottom-up traceability, so you can defend the number to the CFO, auditors, and the board.
• 18-day average go-live. Read-only, zero-write architecture clears CISO review fast.
• Investment protection. Your years of TMS onboarding, bank connectivity, and ERP categorisation work are preserved. Palm reads from the systems you already run; you are not starting from scratch.
• Compounding intelligence. Models retrain daily on your data; every correction your team makes becomes permanent organisational infrastructure.
• Enterprise-ready. 50+ entities, 100+ currencies, SOC 2 Type II, SSO/SAML, full audit trail.

Cons. As an intelligence layer rather than a full TMS, Palm is best paired with an existing TMS or ERP, or some level of bank connectivity in place. Teams looking for a single system that also handles payments execution and FX hedging workflows will use Palm alongside a system of record, not as a replacement for it.

Pricing. Flat-fee subscription. Includes implementation support, weekly time with a tailored Customer Success Manager, and ongoing platform support. No separate professional-services fees, module charges, or per-seat pricing. Contact Palm.

What customers say about Palm on G2

"Palm revolutionises cash forecasting and treasury management. The tool is as good as it gets when it comes to cash analytics, reporting and forecasting. It's the best right hand of a Group Treasurer you could imagine having." (5.0 / 5.0)

"Their AI isn't just turnkey; it's like having a treasury analyst on hand. Palm has helped shift our treasury function from a 'reactive' department that only reports on the past to a 'proactive' one that can actually manage future liquidity." (5.0 / 5.0)

"I really like the automation and AI basis of Palm. Its ability to handle statement intake and categorise transactional information is impressive, and it generates automated forecasts, cutting down the challenging work typically done by treasurers." (4.5 / 5.0)

2. Kyriba

Kyriba is a comprehensive legacy enterprise TMS covering cash, payments, risk, debt, investments, and working capital. Its agentic AI product (TAI) and Skills framework let teams write playbooks in plain English to automate recurring treasury tasks.

Strengths. Broad functional coverage, mature control trail, integration with Microsoft Office Copilot for natural-language reporting, and a 20-year track record with large multinationals.

Cons (from G2, Capterra, TrustRadius):

• Long implementation. Some users report implementations approaching two years and still not fully live on all modules. Internal time, testing, and follow-up routinely exceed plan.
• Complexity and steep learning curve. "Very detailed with multiple features, making it super complicated." Routine tasks and configuration updates require navigating multiple screens.
• Consultant dependency. Modifications often require outside contractors, adding unexpected time and cost.
• Expensive training. Classes and seminars to learn Kyriba are reported as "incredibly expensive on top of annual fees."
• Customer support concerns. Some users report support responses taking longer than a day.
• Manual daily maintenance. Bank balance accuracy and budget code mapping still require manual upkeep.

Pricing. Custom; contact sales.

Reviews. Kyriba on G2 · Kyriba on Capterra · Kyriba on TrustRadius

3. HighRadius

HighRadius is an order-to-cash and treasury platform with agentic AI features for cash forecasting, cash application, deductions, and collections. Its strength is cleaning the receivables data that feeds the forecast.

Strengths. Deep AR automation (cash application straight-through processing reportedly 90%+), strong ERP integrations with SAP, NetSuite, and Oracle, and a published 95% forecast accuracy benchmark for receivables-heavy businesses.

Cons (from G2):

• 4-month average implementation, 9-month time to ROI. Materially slower than lighter platforms.
• Batch processing rather than real-time updates. Can delay data synchronisation across platforms, affecting forecast accuracy and timeliness.
• Professional-services bottleneck. Workflow changes and configuration updates after go-live route through the same PS team used during original implementation, slowing iteration.
• NPS of -20 with 56% detractors reported in published reviews.
• 6+ month enhancement timelines for mid-market customers.
• Manual workarounds. Email inbox requires manual monitoring to associate responses with customer accounts; users cannot attach supporting documents within the cash application module.

Pricing. Custom; contact sales.

Reviews. HighRadius on G2 · HighRadius Treasury and Risk on G2 · HighRadius Pros and Cons on Stuut

4. Trovata

Trovata is a cash management platform with a strong bank-data foundation. Following its acquisition of ATOM, it has expanded into broader TMS coverage including debt, investments, FX, and bank account management.

Strengths. Real-time bank-data ingestion, good starting point when the primary problem is consolidating cash visibility across many banks, API-led architecture.

Cons (from G2, Capterra):

• Forecast stream limitations. Users report "limitations in forecasting, and more specifically, the forecast feature has some limitations in terms of the different data streams."
• Reporting constraints. Reports cannot be sorted by tag without exporting to Excel; system is capped at 50 tags per report.
• Bank connection issues that users say they "have not experienced with other treasury management systems."
• Glitches and lags in forecast streams that disrupt the user experience.
• No native wire/transfer initiation (feature gap relative to full TMS competitors).
• Fewer features overall. "The suite of features offered are not as abundant as its competitors."
• Slow implementation for full customisation.
• Difficult tagging system when building multi-condition rules.

Pricing. Published base pricing at $24,000/year (1 bank, 100 accounts, 1M transactions, 10 users).

Reviews. Trovata on G2 · Trovata on Capterra · Trovata on TrustRadius

5. Ripple Treasury (formerly GTreasury)

Ripple Treasury is built on GTreasury's enterprise TMS foundation, with Ripple's payments network and digital asset infrastructure layered on top. The core platform covers traditional treasury management: cash positioning, forecasting, payments, risk, debt, investments, and reporting.

Strengths. Mature TMS coverage, established enterprise customer base, optional path to digital-asset and fiat cash visibility.

Cons (from G2, TrustRadius, Gartner Peer Insights):

• Customer support response time flagged as needing improvement.
• Limited report writer flexibility. Users want more customisation to make it easier to onboard new users.
• Forecasting module "still needs some work." Reported by an insurance user despite generally positive feedback.
• Usability concerns. Review summaries highlight "Not User-Friendly," "Limited Flexibility," "Difficulty," and "Difficult Navigation."
• Strategic feature drift. Some users report focus shifting towards FX and investment tools, which are not priorities for every treasury function.
• Long deployment typical of full TMS implementations.

Pricing. Custom; contact sales.

Reviews. Ripple Treasury (GTreasury) on G2 · GTreasury on Capterra · GTreasury on TrustRadius

6. Nilus

Positioning. Nilus is an AI-powered treasury platform built for PE-backed and multi-entity finance teams that need governed liquidity decisions, not just visibility. Its Liquidity Agent monitors cash against company policy and flags funding gaps or threshold breaches.

Strengths. Strong usable-cash logic for restricted balances, policy-based approval routing, evidence trail preserved with every cash decision.

Cons (from G2):

• Connectivity issues when reviewing uncategorised transactions and balances. Nilus team is reportedly working on a resolution.
• No Excel integration yet (users report it is on the roadmap).
• Limited fit for full enterprise needs. Not the right choice for complex FX, debt, hedging, payment factory, or global risk workflows.

Pricing. Custom; contact sales.

Reviews. Nilus on G2 · Nilus on Capterra · Nilus on TrustRadius

7. Panax

Panax is an AI-native cash management platform that connects bank and ERP data into a live cash view, with AI agents for reconciliation, categorisation, and reporting.

Strengths. Real-time cash position visibility, AI-driven anomaly detection, lighter implementation than enterprise TMS.

Cons (from G2, Capterra, SaaSWorthy):

• Complex initial configuration despite the lean positioning.
• Bank connectivity bureaucracy when onboarding multiple banks.
• No API access for programmatic integration.
• Limited customisation and reported "inadequate forecasting capabilities" by some reviewers.

Pricing. Custom; Start, Grow, and Pro tiers (pricing not published).

Reviews. Panax on G2 · Panax on Capterra · Panax on TrustRadius

8. Agicap: Best for European SMBs and mid-market

Agicap is a European cash management platform that connects bank balances, ERP data, AP, AR, payments, and consolidation into short-term liquidity planning. Strong European bank connectivity (3,000+ connections).

Strengths. Replaces fragile spreadsheet-based cash planning, good fit for SMBs in France, Germany, and Spain, brings AP/AR into the cash view.

Cons (from G2, Capterra, Software Advice):

• Customisation friction. Automatic rules and categorisations "require too many manual adjustments, especially with multiple banks or complex accounting structures."
• Limited integrations compared to broader treasury platforms.
• Complex onboarding for new users.
• Mechanical forecasting flagged by some reviewers; no weekly cash flow monitoring option in some plans.
• Customer support delays on technical questions.
• High licensing cost at scale. "Licensing costs can be very high if operating with more than two bank accounts and managing cash for multiple companies simultaneously."
• Limited business-licence functionality.

Pricing. Custom; contact sales.

Reviews. Agicap on G2 · Agicap on Capterra · Agicap on TrustRadius

How to choose the right treasury platform for cash forecasting

Use these five questions to shortlist:

1. Do you already have a TMS or ERP? If yes, prioritise platforms like Palm that layer on top rather than forcing rip-and-replace.
2. Is your bottleneck visibility or execution? Visibility-first problems point to bank-data platforms; execution problems point to platforms that can route approvals and preserve audit trails.
3. How fast do you need to deploy? A 4-week deployment and a 24-month deployment are different categories of decision.
4. Can the platform's AI defend a number to your auditor? If the vendor cannot show explainable model selection and bottom-up traceability in the demo, the AI is a black box.
5. What does pricing look like in year three? Most platforms use custom pricing that scales with entities, accounts, and modules. Model the long-term cost before signing.

Frequently asked questions

What is the best treasury platform for AI cash forecasting in 2026?

The best treasury platform for AI cash forecasting in 2026 is Palm. Palm ranks first because it deploys in around 18 days on top of your existing TMS, evaluates 18+ forecasting models per time series, produces fully explainable forecasts with audit trails, and protects the investment you have already made in your treasury infrastructure rather than replacing it.

How long does a treasury platform take to implement?

Implementation times vary widely. Lighter AI intelligence layers like Palm deploy in 2–4 weeks because they sit on top of existing systems with read-only access. Full enterprise TMS implementations (Kyriba, Ripple Treasury) typically take 6–24 months.

What is the best cash forecasting tool for enterprise teams?

For enterprise treasury teams, Palm is the best cash forecasting tool. It is built for scale — 50+ entities, 100+ currencies, SOC 2 Type II, and SSO/SAML — and layers an AI forecasting, categorisation, and variance-analysis engine on top of the TMS and ERP you already run, so you avoid a multi-year rip-and-replace. Its read-only, zero-write architecture clears CISO review in around 18 days, and every forecast ships with plain-language variance explanations and bottom-up traceability, so the numbers hold up to auditors and the board.

Related terms: AI Cash Flow Forecasting | Rolling Cash Forecast | Cash Variance Analysis | Treasury Management System | Liquidity Management