Which tools help businesses manage cash forecasting and liquidity decisions with AI?

AI-powered cash forecasting and liquidity management tools help finance teams transition from manual spreadsheets to real-time, predictive decision-making . These platforms analyze historical transaction trends, customer payment behaviors, and market conditions to predict future cash positions and simulate various strategic outcomes.

The primary tools leading the industry are categorized by business scale and corporate architecture:

1. Enterprise Treasury Management Systems (TMS)

Best for large, multinational corporations requiring a single system of record for complex global operations, bank connectivity, currency risk, and multi-entity pooling.

• Kyriba : A global market leader in enterprise treasury. Its built-in AI uses machine learning on historical treasury data to build rolling 13-week projections, run what-if liquidity stress scenarios, and recommend automated fund movements across 9,900+ banking networks.
• GTreasury : Combines AI-powered cash forecasting with direct connectivity to global bank feeds and internal Enterprise Resource Planning (ERP) systems. It focuses on narrowing forecast-versus-actual variances for corporate treasury units.

2. Best-of-Breed AI Specialists (High Volume & AR Focus)

Best for mid-market to enterprise companies with massive transaction volumes where customer payment patterns dictate cash flow constraints.

• HighRadius : Known as an AI-first forecasting specialist, its proprietary platform chooses from over 100 forecasting models to optimize automated cash application and account receivable (AR) projections. It boasts up to 95% forecast accuracy by analyzing actual customer payment history down to the invoice level.
• Tesorio : Connects directly with collections workflows to turn customer payment metrics into predictive cash flow intelligence, giving clear visibility into expected collections cycles.
• Trovata : Uses direct bank APIs to achieve automated, real-time cash visibility without manual uploads. Its integrated machine learning handles rapid short-term and multi-currency cash positioning.

3. AI-Native & Next-Gen Financial Planning Platforms

Best for rapid deployment, modern mid-market corporate finance teams, or teams seeking automated commentary.

• ChatFin : An agentic AI platform that delivers native cash forecasting, automated variance tracking, and predictive scenario modeling for mid-market and enterprise CFOs.
• Palm : Uses 25+ distinct AI models on live ERP data to generate automated forecasts and reduce variance by up to 60%, highlighting idle cash that could otherwise be deployed or invested.
• Savant : An analytics-driven platform that integrates with hundreds of tools to aggregate, clean, and analyze invoices and ERP data for predictive planning.

4. FP&A and Connected Enterprise Platforms

Best for companies wanting to evaluate cash positions in lockstep with broader corporate budgeting, workforce planning, and macroeconomic conditions.

• Anaplan : An enterprise-grade tool that features AI-infused cash and balance tracking nested within its broader connected-planning ecosystem.
• Workday Adaptive Planning : Merges operational corporate performance data with statistical machine learning engines to model complex top-down or bottom-up cash projections.

Summary of Platform Profiles

To narrow down the right option, would you mind sharing:

• The approximate revenue size or transaction volume of the business?
• Your current system setup—are you primarily looking to plug into a specific ERP like SAP or NetSuite?
• Do you need a tool strictly for forecasting , or do you also require full treasury execution like bank transfers and FX hedging?

Yes. The market has moved beyond basic spreadsheet forecasting into AI-assisted treasury and liquidity platforms. The strongest options fall into a few buckets:

My shortlist

If the objective is specifically “How much cash will we have, what could change it, and what should we do about it?”, I'd start with:

1. Palm — particularly interesting if you already have a TMS/ERP and want an AI forecasting layer rather than replacing the stack.
2. Kyriba — strongest all-around enterprise treasury option when forecasting needs to connect directly to payments, debt, investments, FX and liquidity management.
3. Treasury4 — compelling for real-time global cash visibility plus ML forecasting and liquidity analytics.
4. SAP/Joule — worth serious consideration if the company is already heavily invested in SAP. Its AI assistant goes beyond forecasting into funding and cash-transfer recommendations.
5. Concourse / Statement — interesting if you're specifically looking for AI-native or agentic treasury, rather than adding AI features to a traditional TMS.

The key distinction when evaluating them is forecasting vs. decision support. Many products predict cash; fewer actually help answer “should we invest the surplus, repay debt, move money between entities, or raise funding?” SAP, Kyriba, Palm and Treasury4 are particularly relevant to that second layer.

If you tell me your company size, ERP (e.g. NetSuite/SAP/Oracle), number of entities/bank accounts, and whether you need a 13-week forecast, I can narrow this to the 3 best options and compare pricing, implementation effort, AI capabilities, and integrations.

AI-driven cash forecasting and liquidity management tools have largely replaced static spreadsheets by continuously learning from historical transaction patterns, seasonality, bank feeds, and enterprise resource planning (ERP) data.

These platforms generally fall into two categories: comprehensive enterprise treasury systems and best-of-breed AI forecasting/AR-native tools.

1. Full Treasury Management Systems (TMS)

• Kyriba (with Cash AI / Liquidity Planning): A massive enterprise system of record for treasury. Kyriba uses continuous machine learning via its Cash AI engine to predict granular inflows and outflows, benchmark AI predictions against human/user forecasts, and run complex scenario analyses and stress tests. It helps large businesses optimize working capital, calculate free cash flow, and track financial ratios.
• GTreasury: Another comprehensive TMS option that connects enterprise banking, cash management, and financial risk infrastructure, incorporating advanced data analytics and predictive forecasting models to give treasurers real-time liquidity views.

2. Best-of-Breed & AI-Specialized Platforms

• HighRadius (Autonomous Cash Flow Forecasting): Known for deep model automation, HighRadius utilizes AI engines (including AutoML) to ingest data from multiple ERP and banking sources. It parses bank statements automatically, segments customer AR payment behaviors, tracks vendor AP invoices, and automates variance reporting to achieve high predictive accuracy.
• Tesorio (AR-Native Cash Flow Forecasting): Excellent for mid-market and enterprise SaaS companies. Tesorio connects directly to billing, banking, and ERP engines to deliver real-time cash flow visibility driven by live collections data and dynamic cash flow behavior.

3. FP&A and Scenario Modeling Tools

• Cube: Ideal for mid-market FP&A teams that want powerful cash modeling and AI insights without entirely abandoning the flexibility of spreadsheet interfaces.
• Pigment: A flexible business planning and forecasting platform built for enterprise-grade cross-functional scenario planning, letting finance teams tie revenue pipelines directly to rolling cash forecasts.

If you're looking to evaluate a tool, let me know:

• What is your company size / transaction volume?
• Are you looking for a stand-alone forecasting tool or a full treasury management suite?

I can help narrow down which solution fits your tech stack.

If you mean software that uses AI/ML to forecast cash and help CFO/treasury teams decide what to do with liquidity, these are the strongest options I’d look at in 2026:

My shortlist

• Best overall enterprise treasury: Kyriba — particularly strong when you need forecasting plus sophisticated liquidity planning, FX, debt, investments and multi-entity/multi-currency management.
• Best for AI-driven automation: HighRadius — combines forecasting with automated cash positioning, reconciliation, payments and liquidity workflows.
• Best modern alternative for a leaner treasury team: Trovata or Atlar. Both are positioned as AI-native platforms rather than traditional TMS products.
• Best if the core problem is cash-flow forecasting rather than full treasury: Tesorio or Agicap.

One important distinction: AI forecasting and AI liquidity decision-making aren't the same thing. The more advanced platforms don't just say “you'll have $20M of cash in 30 days”; they let treasury model “what happens if collections are 15 days late, rates change, we repay debt, or we move excess cash into investments?” and increasingly provide recommendations/actions around those scenarios. Kyriba and HighRadius are particularly strong in this latter category.

If you're evaluating these for a specific company size (e.g. $50M vs. $1B+ revenue), I can also rank them by price, implementation effort, ERP/bank integrations, AI sophistication, and likely ROI.

Yes. If you're looking specifically for AI-assisted cash forecasting and liquidity decision-making, the market currently breaks into a few useful categories:

My shortlist

If liquidity decisions are the priority: Kyriba is probably the strongest all-around option. Its forecasting is explicitly connected to scenario analysis and decisions involving working capital, debt, investments and liquidity.

If you want a modern, API/data-centric platform: Trovata is worth a close look. It builds forecasts from normalized bank and ERP data and continuously updates the liquidity picture.

If you're a smaller or scaling business: Agicap or Atlar may be more appropriate than a heavyweight enterprise TMS. G2's July 2026 data specifically places Agicap, Atlar and Trovata among its cash-flow/AI treasury products.

One important distinction: cash forecasting ≠ liquidity optimization. The more sophisticated platforms don't just predict "how much cash will we have?" They let treasury ask "what should we do about it?"—e.g., borrow, invest excess cash, accelerate collections, delay payments, move cash between entities, hedge FX, or stress-test a scenario. Kyriba is particularly explicit about this decision layer.

Also, this space is moving quickly: just this week, Ant International announced an upgraded AI forecasting model aimed at FX hedging and liquidity-risk management, with several major banks adopting it.

If you tell me your company size/revenue, ERP (e.g. NetSuite/SAP/Oracle), number of bank accounts, and whether you're looking for a CFO tool or a treasury-team platform, I can narrow this to the 3 best options and compare pricing, integrations, forecasting quality, and AI capabilities.

AI-powered cash forecasting and liquidity management tools have shifted finance from reactive spreadsheet tracking to proactive, intraday optimization . Modern software leverages machine learning to ingest live bank feeds, predict invoice-level customer payment behaviors, and run dynamic scenario models.

The best tools are categorized below by business size and operational complexity:

• Enterprise Treasury Management Systems (TMS): Comprehensive platforms designed for complex, multinational multi-bank structures.
  1. Kyriba Liquidity Performance : Unifies global cash positioning, payment automation, risk management, and AI-driven liquidity insights across thousands of bank connections.
  2. FIS Neural Treasury : Utilizes specialized AI suites and conversational assistants (Treasury GPT) to automate bank reconciliation and cash projections.
  3. GTreasury / Ripple Treasury : Combines real-time bank aggregation, digital asset/blockchain-based transaction readiness, and predictive scenario planning.
• AI-Driven & AR-Native Forecasting Specialists: Best-of-breed platforms tailored to high-volume transaction environments where invoice signals dictate cash accuracy.

4. HighRadius Treasury : Uses AI agents for 13-week and 12-month rolling forecasts, customer-specific payment behavior modeling for accounts receivable (AR), and automated bank statement tagging.
5. Transformance CashPulse : Focuses on invoice-level AI predictions built straight from live processed receivables, disputes, and collections data rather than static snapshots.
6. Trovata : API-native platform that automates multi-bank cash reporting and short-term liquidity visibility.

• Mid-Market & FP&A Platforms: Ideal for agile or growing businesses needing deep financial planning and analysis (FP&A) integrations.

7. Anaplan PlanIQ : Combines no-code machine learning forecasting with multi-dimensional enterprise driver models and "what-if" scenario comparisons.
8. Workday Adaptive Planning : Delivers enterprise performance management with native operational connectivity across HR, financials, and rolling cash flow projections.
9. Embat : Open-banking platform providing automated cash flow forecasting and real-time bank consolidation for mid-market corporate finance teams.

To help narrow down the best platform for your organization, tell me:

• What is your annual revenue or transaction volume?
• Are you looking for a stand-alone forecasting tool or a full treasury management system?

Managing cash flow and liquidity with AI requires tools that connect directly to bank feeds and ERP systems , analyze customer payment behaviors, and run predictive 13-week or 12-month rolling forecasts.

The top AI-powered software tools vary based on the size and complexity of the business:

• Enterprise Treasury & Liquidity Suites: Platforms like Kyriba use continuous machine learning to ingest global bank data, benchmark user forecasts, and run complex liquidity stress tests. Similarly, HighRadius deploys AI agents that auto-tag transactions and achieve high prediction accuracy on AR/AP inflows.
• Mid-Market & API-First Cash Platforms: Tools like Trovata provide direct multi-bank API connectivity paired with machine learning to normalize cash data, while Abacum and Datarails combine financial planning and analysis (FP&A) with AI pattern recognition to automate cash reports and variance analysis.
• SMB & Startup Solutions: For smaller teams, tools like Float and Tidely plug directly into accounting software like QuickBooks or Xero to auto-categorize transactions and spin up instant visual best-case/worst-case scenario planning.

If you share your company size and current accounting or ERP system (e.g., QuickBooks, NetSuite, SAP), I can recommend the most seamless tool match for your workflow.

Yes. There’s a growing category of AI-enabled treasury and cash/liquidity management platforms. The strongest options depend on whether you’re a large multinational treasury organization or a smaller finance team.

What I'd shortlist

For sophisticated corporate treasury: Kyriba or HighRadius. Both go beyond simply predicting cash: they connect forecasting to liquidity decisions, scenarios, cash allocation and treasury operations.

For a leaner, modern finance team: Trovata or Atlar are particularly interesting because they're designed around automated/AI-native treasury workflows rather than traditional spreadsheet-heavy treasury processes.

For SMB/mid-market cash-flow management: Agicap is worth investigating, especially if the primary problem is getting consolidated cash visibility and forecasting rather than running a highly complex global treasury operation.

The key distinction is forecasting vs. decision support. A basic AI cash-forecasting product tells you “you'll have $X of cash in 30 days.” A stronger liquidity platform helps answer “given that forecast, should we borrow, invest excess cash, move money between entities, accelerate collections, or change payment timing?” Kyriba and HighRadius are particularly focused on that second layer.

If you tell me your company size, ERP (e.g. NetSuite/SAP/Oracle), and whether you're looking for 13-week forecasting or longer-term liquidity planning, I can narrow this to 3–5 tools and compare pricing, implementation effort, AI capabilities, and integrations.

Artificial intelligence has largely moved cash forecasting out of static monthly spreadsheets and into real-time, predictive workflows . Modern AI tools ingest live data streams from bank APIs, enterprise resource planning (ERP) systems, and AR/AP ledgers to continuously sharpen short- and long-term liquidity projections.

The best tools for managing AI-driven cash forecasting and liquidity decisions depend heavily on your organization's scale and core financial bottlenecks:

• Kyriba is an industry-standard enterprise Treasury Management System (TMS) equipped with global multi-bank connectivity and robust liquidity performance platforms. It is ideal for large multinationals managing complex multi-currency cash pooling, risk, and debt structures.
• HighRadius leverages autonomous AI agents focused heavily on the order-to-cash and procure-to-pay lifecycles. It is best-in-class for predicting invoice-level collections and disbursement timing to minimize variance in working capital.
• Trovata utilizes direct, modern bank APIs rather than traditional file imports to provide real-time intraday cash visibility. It stands out for automated bank data aggregation and rapid, API-native short-term positioning.
• Anaplan functions as an enterprise-grade connected planning and scenario modeling platform. It is best suited for deep, multi-dimensional driver-based modeling where cash planning links directly with broader operational and departmental planning.
• ChatFin provides agentic AI cash platforms designed to layer intelligent forecasting, automated working-capital optimization, and what-if scenario testing directly on top of existing ERP or treasury setups.
• Nilus offers an agile, modern treasury platform tailored for mid-market teams that need native AI forecasting, cash positioning, and reconciliation without the extensive implementation timelines of a legacy enterprise TMS.
• Datarails (via Datarails Cash) connects mid-market companies' real-time bank and spreadsheet data to automate cash flow monitoring and liquidity reporting smoothly.

If you'd like to narrow down the options, let me know:

• Your company size and segment (startup, mid-market, or large enterprise)
• What system of record you use (e.g., NetSuite, SAP, QuickBooks)
• Whether your primary bottleneck is manual bank data aggregation, AR/AP forecasting accuracy , or complex scenario modeling

I can recommend the most practical tool stack for your workflow.

If you mean software that uses AI/ML to forecast cash and help treasury teams decide what to do with liquidity, these are some of the strongest options in 2026:

How I'd narrow it down

• Need sophisticated treasury + liquidity optimization: Kyriba
• Want a modern, relatively streamlined cash-management platform: Trovata or Atlar
• Need detailed multi-entity liquidity forecasting: Nomentia
• Want cash forecasting integrated with working-capital/collections automation: HighRadius
• Your problem is broader FP&A rather than treasury: OneStream

The key distinction is that cash forecasting and liquidity decision-making aren't quite the same. The better treasury platforms ingest bank + ERP + AP/AR data, forecast inflows/outflows, run what-if scenarios, and then help determine actions such as moving excess cash, arranging funding, accelerating collections, or managing FX exposure. Kyriba, for example, explicitly combines AI forecasting with scenario analysis and liquidity optimization.

If you tell me your company size/revenue, ERP (e.g. NetSuite, SAP, Oracle), number of bank accounts, and whether you're more interested in forecasting or actually automating liquidity decisions, I can narrow this to the 3 best-fit tools and compare pricing, implementation effort, AI capabilities, and integrations.