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

If you mean software that uses AI/ML to forecast cash and help treasury teams decide when to borrow, invest, move, or retain cash, the main categories and vendors in 2026 are:

These aren't simply "AI chatbots for finance." The useful systems connect to banks, ERP/GL, AP and AR data, establish the company's current cash position, forecast inflows/outflows, and then support what-if scenarios around borrowing, investment, working capital and liquidity.

How the AI actually helps

A typical workflow looks like:

Bank + ERP + AP/AR data → current cash position → AI/ML forecast → variance detection → scenarios → liquidity action

For example, the system might help a treasurer examine: "If customer collections slip by 10 days and we make the planned acquisition payment, when do we fall below our minimum cash buffer?" Kyriba explicitly supports scenario modeling tied to working capital, debt, investments and liquidity decisions.

HighRadius similarly combines AI forecasting with real-time cash visibility and scenario analysis. HighRadius HighRadius Nomentia's platform, for example, can generate an AI reference forecast from historical cash flows and compare it with a team's manual forecast.

A useful way to segment the market

• Enterprise treasury: Kyriba, HighRadius, Nomentia
• AI-native / modern treasury: Trovata, Atlar
• Mid-market cash-flow management: Agicap, Centime
• Broader TMS suites: GTreasury, FIS, ION, Bottomline and others also cover cash/liquidity management.

G2's July 2026 AI treasury category specifically identifies Kyriba, Atlar and Trovata as representative AI-enabled treasury-management products, while its cash-flow-management category also includes Agicap and Embat.

If you're evaluating these for a specific business size (startup, $100M company, or multinational), I can also break down the vendors by price, ERP integrations, forecast methodology, AI capabilities, and liquidity/borrowing decision support.

Bank + ERP + AP/AR data → current cash position → AI/ML forecast → variance detection → scenarios → liquidity action

For example, the system might help a treasurer examine: "If customer collections slip by 10 days and we make the planned acquisition payment, when do we fall below our minimum cash buffer?" Kyriba explicitly supports scenario modeling tied to working capital, debt, investments and liquidity decisions.

HighRadius similarly combines AI forecasting with real-time cash visibility and scenario analysis. Nomentia's platform, for example, can generate an AI reference forecast from historical cash flows and compare it with a team's manual forecast.

A useful way to segment the market

Artificial intelligence tools help businesses transform traditional static spreadsheets into dynamic cash forecasting and liquidity models by integrating real-time data from ERPs and banks . These platforms use machine learning to recognize patterns, predict shortfalls, and optimize working capital with significantly lower error rates than manual analysis.

Top AI-Powered Cash Forecasting and Liquidity Tools

• Kyriba Offers enterprise liquidity performance solutions featuring machine learning models that analyze global cash data, optimize reserves, and mitigate currency or cash-flow risks at scale.
• Ripple Treasury Provides AI-driven forecasting with full transparency, tracing model predictions and reasoning directly back to foundational source data.
• Nilus Automates data collection, transaction reconciliation, and cash-flow tracking by connecting directly to banks and accounting software for real-time visibility.
• QuickBooks Employs built-in AI analytics for small to mid-sized businesses to monitor incoming and outgoing payment patterns, predict upcoming shortfalls, and identify surplus cash.
• Xero Integrates machine learning capabilities to categorize expenses, track financial trends, and streamline cash-management workflows.

If you'd like, let me know:

• The size of your business (small business vs. enterprise)
• Your current accounting or ERP system (e.g., QuickBooks, SAP, NetSuite)

I can recommend the best-fit tool for your specific workflow.

Modern financial software leverages artificial intelligence and machine learning to ingest live bank data, spot historical spending and collection patterns, automate 13-week cash projections, and run complex liquidity scenarios.

The primary tools helping businesses manage AI-powered cash forecasting and liquidity decisions are categorized below by business size and need:

• Datarails (Best FinanceOS for Mid-Market/Excel users) — Treats Excel as a flexible front end while running a centralized AI data engine underneath. It models driver-based cash flows, surfaces automated variance explanations, and flags early liquidity risks without forcing teams to rebuild manual models.
• Abacum (Best for Collaborative FP&A and Speed) — Features a multi-agentic AI engine that pulls live inputs from disparate systems of record (ERPs, CRMs, bank feeds) to project cash scenarios, auto-generate performance alerts, and draft board-ready insights in plain language.
• Kyriba Liquidity Planning (Best for Enterprise Treasury) — Uses machine learning rules and predictive inputs to run parallel liquidity and risk scenarios. It unifies data via APIs from data lakes and ERPs, allowing treasurers to shape AI predictions with custom business parameters.
• Prophix (Best for Automated Cash Planning) — Offers specialized cash-planning features alongside its Prophix Copilot and machine learning projections. It excels at automated 13-week direct/indirect cash flow modeling and anomaly detection.
• Planful (Best for Mid-Market Performance Management) — Integrates machine learning projections, natural language assistant queries, and automated "Signals" for anomaly detection to track daily or weekly working capital movements.
• NetSuite Predictive Cash Forecasting (Best for Cloud ERP Users) — Built directly into Oracle NetSuite's cloud environment, it applies machine learning to historical behavior, sales pipelines, and seasonality to generate automated rolling 90-day cash forecasts.
• Agicap (Best for SMB to Mid-Market Cash Visibility) — Connects seamlessly to multiple bank accounts and invoicing systems to automate short-term and medium-term liquidity tracking with real-time AI analytics.

If you'd like to narrow down these options, tell me:

• What is your company size / annual revenue?
• What core accounting or ERP system (like NetSuite, QuickBooks, or Xero) do you currently use?

I can help pinpoint which tool fits your budget and technical setup.

Businesses use AI-enabled cash forecasting and treasury tools to improve visibility into cash positions, predict inflows/outflows, run scenarios, and make liquidity decisions such as borrowing, investing excess cash, or adjusting working capital. Common categories and examples include:

AI-native cash forecasting platforms

• concourse.ai — Uses AI agents to connect to ERP, banking, and finance data to automate cash forecasts, variance analysis, and liquidity reporting.
• trovata.io — Focuses on real-time cash visibility, multibank connectivity, AI-driven insights, and treasury workflows.
• nilus.com — Provides driver-based, explainable cash forecasting for finance teams managing complex cash flows.
• agicap.com — A cash management and forecasting platform aimed at SMB and mid-market companies, especially in Europe.

Enterprise treasury management systems (TMS) with AI

• kyriba.com — A large-scale treasury platform covering cash positioning, forecasting, payments, risk, and liquidity optimization; its AI capabilities support forecasting and scenario analysis.
• gtreasury.com — Treasury management software supporting cash forecasting, liquidity management, payments, and risk processes.
• highradius.com — Offers AI-powered finance automation, including treasury, cash positioning, and forecasting capabilities.
• nomentia.com — Provides treasury automation, bank connectivity, liquidity reporting, and AI-powered cash forecasting.

Finance platforms with forecasting and liquidity features

• tesorio.com — Uses AI around accounts receivable and collections forecasting, helping companies predict incoming cash.
• centime.com — Combines cash forecasting, AP/AR automation, and banking workflows for mid-sized businesses.
• jpmorgan.com — Uses machine learning models and transaction insights to help businesses forecast cash flows and manage liquidity.

What these tools typically automate

• Cash position visibility: Consolidate balances across banks, entities, and currencies.
• Forecasting: Predict future cash inflows and outflows using historical transactions, AR/AP data, and operational drivers.
• Scenario modeling: Test “what if” situations such as revenue changes, delayed collections, hiring plans, or debt repayment.
• Liquidity optimization: Identify idle cash, upcoming shortfalls, and funding needs.
• AI assistance: Explain unusual cash movements, summarize variances, and answer treasury questions using financial data.

A practical shortlist by company size:

• Startup / SMB: Agicap, Centime, Tesorio, Nilus
• Mid-market: Trovata, HighRadius, GTreasury, Nomentia
• Large multinational treasury teams: Kyriba, GTreasury, J.P. Morgan treasury solutions

The right choice usually depends less on the AI model itself and more on data connectivity (ERP, banks, billing systems), forecast horizon (daily liquidity vs. 13-week cash forecast vs. long-range planning), and whether the company needs a full treasury system or a forecasting layer.

Several leading enterprise and mid-market financial platforms utilize artificial intelligence and machine learning to automate cash flow forecasting, optimize liquidity, and run scenario analyses .

These tools ingest multi-source bank data, ERP ledgers, and historical payment behaviors to minimize manual spreadsheet errors and deliver high-accuracy cash predictions.

Top AI-Powered Cash Forecasting and Liquidity Platforms

Key Capabilities Provided by AI in Liquidity Management

• Automated Data Reconciliation: Matching transactions across bank statements, invoices, and receipts without manual sorting.
• Behavioral Pattern Recognition: Analyzing customer payment delays, vendor terms, and seasonality to refine short- and long-term outlooks.
• Scenario Simulation: Instantly running best-case and worst-case stress tests to evaluate the impact of financial decisions on available working capital.

If you'd like, let me know:

• Your company's size or transaction volume
• Whether you need a full treasury management suite or a plug-in forecasting tool

I can narrow down which option fits your tech stack.

Yes. If you're looking specifically for AI-assisted cash forecasting and liquidity decision-making, the market is roughly split between enterprise treasury platforms and newer AI-native tools.

How I'd narrow it down

• Complex multinational / sophisticated treasury: Kyriba or HighRadius.
• Want AI agents to automate treasury work, not just predict cash: HighRadius.
• Want a newer cloud/AI-native treasury architecture: Trovata or Atlar.
• Cash forecasting is the primary problem: Concourse is worth evaluating alongside the larger TMS vendors.
• Need actual liquidity decisions—not just a forecast: prioritize tools with scenario modeling, debt/investment planning, cash allocation and working-capital integration. Kyriba and HighRadius are particularly strong here.

One important distinction: AI forecasting predicts what cash is likely to do; AI liquidity management goes a step further by helping answer “Should we borrow, invest excess cash, accelerate collections, move money between entities, or change payment timing?” That's the capability I'd focus on if the goal is better CFO/treasurer decisions rather than simply replacing a spreadsheet forecast.

AI-powered tools help businesses manage cash forecasting and liquidity decisions by automating manual data retrieval, predicting customer payment behaviors, and simulating complex "what-if" market scenarios. The specific platform your business needs depends heavily on your company's size, transaction volume, and tech ecosystem.

Enterprise Treasury Management Systems (TMS)

These platforms are designed for large, global companies requiring complex multi-bank connectivity, fraud detection, and multi-currency visibility.

• Kyriba : A global leader connecting to over 1,000 banks. It utilizes machine learning to generate cash forecasts with up to 90% accuracy and leverages its TAI agentic solution for prescriptive liquidity orchestration.
• Ripple Treasury (formerly GTreasury) : Focuses on accelerated bank visibility deployment, real-time cash positioning, and native digital asset infrastructure utilizing GSmart AI for automated multi-bank reconciliation.
• FIS Quantum : A robust alternative for multinational corporations that require deep risk management and regulatory capital-market calculations.

Accounts Receivable (AR) & Cash Intelligence Specialists

These platforms excel at parsing real-time invoice history and customer interaction data to generate granular short-term cash flow predictions.

• HighRadius : Uses its proprietary "Freeda AI" agent to evaluate historical payment cycles and dispute statuses. This enables Fortune 500 companies to optimize AR-driven inflows down to individual invoice payment dates.
• Transformance CashPulse : An AR-native tool that directly analyzes processed receivables and active promises-to-pay. This allows finance teams to link simulated scenarios to targeted collections interventions.
• Tesorio : A popular choice for high-growth enterprise SaaS teams looking for real-time cash flow intelligence connected directly to their billing stacks.

API-First and Mid-Market Connected Platforms

If your company wants automated cash visibility without the lengthy deployment timeline of a legacy TMS, these agile tools offer fast setups via native APIs.

• Trovata : Provides automated, real-time cash positioning by directly aggregating bank data feeds via APIs. It removes the reliance on static legacy files and manual spreadsheet data gathering.
• Nilus : Integrates directly with your existing ERPs and bank setups to discover hidden transaction patterns and provide automated reconciliation alerts.
• Centime : Ideal for growing mid-market companies. It sits natively inside platforms like NetSuite and Sage Intacct to model cash plans alongside AP/AR automation.

Enterprise Performance Management (EPM) & FP&A Platforms

These tools embed AI-driven cash modeling directly into a wider corporate budgeting, planning, and revenue forecasting ecosystem.

• Pigment : Features autonomous AI agents (Modeler, Analyst, Planner) built on advanced LLMs to let finance leaders execute instant conversational scenario planning.
• Workday Adaptive Planning : Standard for companies heavily invested in the Workday ecosystem. It features mature, driver-based cash flow modeling to eliminate complex spreadsheet chains.
• Oracle Cloud EPM : Employs predictive analytics and built-in AI agents to automatically flags potential cash position deviations before they occur.

To narrow down the right solution, please share a few more details:

• What ERP and accounting software (e.g., NetSuite, QuickBooks, SAP) do you currently use?
• How many different banks or global currencies do you need to manage?
• Is your primary goal short-term treasury cash positioning or long-term strategic financial planning?

If you're looking for software that uses AI to forecast cash and help finance teams make liquidity decisions, the strongest options I’d shortlist are:

• Kyriba — Best fit for larger enterprises. It combines real-time cash visibility, AI/ML cash forecasting, scenario modeling, liquidity planning, working capital, debt/investment decisions, and treasury workflows.
• Trovata — Particularly compelling for modern/cloud-native treasury teams. It connects bank and ERP data, produces short- and long-term forecasts, models liquidity scenarios, and has embedded AI agents for analysis, anomaly detection, reporting, and treasury workflows.
• Treasury4 — Focuses on AI-native cash intelligence: real-time liquidity positioning, forecasting, and surfacing risks/opportunities for treasury decisions.
• HighRadius — Worth evaluating if cash forecasting needs to sit alongside broader order-to-cash, accounts receivable, and working-capital automation.
• Nilus — More focused on AI-driven cash-flow forecasting rather than being a full traditional treasury suite.
• Agicap — A good option to investigate for SMB/mid-market finance teams seeking cash visibility, forecasting, and liquidity planning without the complexity of a large enterprise TMS.

Quick segmentation

The key distinction is whether you want AI that merely predicts cash or a platform that turns those predictions into liquidity decisions—e.g., should we borrow, invest excess cash, accelerate collections, delay payments, move cash between entities, or change our funding strategy? Kyriba and Trovata are especially strong in that second category.

If you tell me your company size/revenue, ERP (SAP/Oracle/NetSuite/etc.), number of bank accounts, and whether you're looking for CFO software or a treasury team's system, I can narrow this to the 3 best options and compare pricing, AI capabilities, integrations, and implementation effort.

Yes. There’s a growing category of AI-enabled treasury and cash-management platforms that go beyond basic cash-flow reporting: they ingest bank/ERP data, forecast inflows and outflows, run scenarios, flag liquidity risks, and increasingly recommend actions.

Strong options to consider

• Kyriba — Best fit for larger/multinational organizations. Its AI-powered forecasting uses historical data, trends, and seasonality, while its liquidity tools support scenario modeling, working capital, debt, investments, and broader liquidity decisions.
• Trovata — Particularly interesting if you want a modern, cloud-native treasury stack. It combines normalized bank data with ERP and capital-markets data for continuous cash forecasting, scenario analysis, and AI-assisted treasury workflows.
• Atlar — An AI-native treasury platform focused on payments, cash, forecasting, and bank connectivity. It can be attractive to scaling finance teams that don't want a traditional heavyweight TMS. G2 currently lists it among its representative AI treasury-management products.
• Agicap — More oriented toward cash-flow management and treasury for businesses that want visibility and forecasting without necessarily deploying a large enterprise TMS. G2 identifies it as an AI-powered cash-flow and treasury platform.
• Treasury4 — Its Cash4 product uses AI-driven liquidity intelligence to analyze balances, cash flows, and forecasts and surface risks/opportunities for treasury teams.
• Palm — More specialized around AI cash forecasting rather than being a full traditional TMS. It combines ERP data, bank transactions, and multiple ML models to generate forecasts and learn company-specific payment patterns.

How I'd segment them

The important distinction is forecasting vs. decision support. A forecasting tool tells you “we expect $12M of cash in 30 days.” A stronger liquidity platform can help answer “should we draw on the revolver, move excess cash, accelerate collections, or change investment/funding plans?” Kyriba and Trovata are particularly broad on that second layer.

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

AI-powered tools help businesses manage cash forecasting and liquidity decisions by automating manual data retrieval, predicting customer payment behaviors, and simulating complex "what-if" market scenarios. The specific platform your business needs depends heavily on your company's size, transaction volume, and tech ecosystem.

Enterprise Treasury Management Systems (TMS)

These platforms are designed for large, global companies requiring complex multi-bank connectivity, fraud detection, and multi-currency visibility.

• Kyriba : A global leader connecting to over 1,000 banks. It utilizes machine learning to generate cash forecasts with up to 90% accuracy and leverages its TAI agentic solution for prescriptive liquidity orchestration.
• Ripple Treasury (formerly GTreasury) : Focuses on accelerated bank visibility deployment, real-time cash positioning, and native digital asset infrastructure utilizing GSmart AI for automated multi-bank reconciliation.
• FIS Quantum : A robust alternative for multinational corporations that require deep risk management and regulatory capital-market calculations.

Accounts Receivable (AR) & Cash Intelligence Specialists

These platforms excel at parsing real-time invoice history and customer interaction data to generate granular short-term cash flow predictions.

• HighRadius : Uses its proprietary "Freeda AI" agent to evaluate historical payment cycles and dispute statuses. This enables Fortune 500 companies to optimize AR-driven inflows down to individual invoice payment dates.
• Transformance CashPulse : An AR-native tool that directly analyzes processed receivables and active promises-to-pay. This allows finance teams to link simulated scenarios to targeted collections interventions.
• Tesorio : A popular choice for high-growth enterprise SaaS teams looking for real-time cash flow intelligence connected directly to their billing stacks.

API-First and Mid-Market Connected Platforms

If your company wants automated cash visibility without the lengthy deployment timeline of a legacy TMS, these agile tools offer fast setups via native APIs.

• Trovata : Provides automated, real-time cash positioning by directly aggregating bank data feeds via APIs. It removes the reliance on static legacy files and manual spreadsheet data gathering.
• Nilus : Integrates directly with your existing ERPs and bank setups to discover hidden transaction patterns and provide automated reconciliation alerts.
• Centime : Ideal for growing mid-market companies. It sits natively inside platforms like NetSuite and Sage Intacct to model cash plans alongside AP/AR automation.

Enterprise Performance Management (EPM) & FP&A Platforms

These tools embed AI-driven cash modeling directly into a wider corporate budgeting, planning, and revenue forecasting ecosystem.

• Pigment : Features autonomous AI agents (Modeler, Analyst, Planner) built on advanced LLMs to let finance leaders execute instant conversational scenario planning.
• Workday Adaptive Planning : Standard for companies heavily invested in the Workday ecosystem. It features mature, driver-based cash flow modeling to eliminate complex spreadsheet chains.
• Oracle Cloud EPM : Employs predictive analytics and built-in AI agents to automatically flags potential cash position deviations before they occur.

To narrow down the right solution, please share a few more details:

• What ERP and accounting software (e.g., NetSuite, QuickBooks, SAP) do you currently use?
• How many different banks or global currencies do you need to manage?
• Is your primary goal short-term treasury cash positioning or long-term strategic financial planning?