The Top 10 AI FP&A Tools in 2025

Modern FP&A tools infused with artificial intelligence are transforming the entire financial planning process as we know it. 

Financial Planning and Analysis (FP&A) has evolved from pencil-and-paper bookkeeping to Excel spreadsheets, and now to AI-driven software. Just as the introduction of spreadsheet software in the 1980s revolutionized finance, AI is the next game-changer. 

In the words of one finance leader and influencer, Nicolas Boucher: “AI is here to stay and ignoring it would be like ignoring Excel when it was released 40 years ago.”

AI FP&A tools can help your finance team consolidate data, integrate disparate sources, and generate insights with unprecedented speed and accuracy.  

In other words, these Top AI FP&A tools of 2025 empower finance teams to spend less time on manual tasks and more on strategic financial analysis and decision-making.

Before diving into the detailed reviews, the comparison table below provides a snapshot of the top 10 AI FP&A tools in 2025, including their standout AI-driven features and who they’re ideal for.

Comparison of Top AI FP&A Tools (2025)

Tool	Key AI-Driven Features	Standout Capabilities	Ideal For
Datarails FP&A Genius	Chat-based analytics, AI-generated dashboards & reports	Conversational AI on real company data; instant variance insights	Excel-centric finance teams needing AI within spreadsheets
Planful (Planful Predict)	Predict: Signals (error/anomaly detection); Predict: Projections (AI forecasting)	Automated error checking and unbiased forecasts from historical data; seamless integration into planning workflows	Mid-size to enterprise orgs seeking accuracy and integrity in forecasts
Workday Adaptive Planning	Embedded machine learning; Generative AI (Workday Assistant); Predictive analytics	ML built into core data engine for faster modeling; AI-driven variance analysis with explanations	Large enterprises (often Workday users) needing scalable, AI-enhanced planning
Anaplan PlanIQ	Statistical time-series forecasting, Amazon ML engine; New CoPlanner AI assistant	Handles multiple data types for more accurate forecasts; Conversational insights and recommendations via generative AI	Enterprises with complex, multi-dimensional planning across business units
Cube	Agentic AI for forecasts & scenarios; Excel/Sheets integration	AI-assisted forecasts, scenario modeling, and variance explanations in a familiar spreadsheet interface	Small to mid-sized businesses relying on Excel who want to automate and speed up FP&A
Pigment	“Analyst,” “Planner,” and “Modeler” AI agents; a collaborative planning platform	Proactive AI agents find trends and anomalies, suggest plans, and update models autonomously	Mid-large organizations seeking a modern, integrated business planning platform with cutting-edge AI assistants
Vena	Vena Copilot (natural language assistant); MS Excel & Power BI integration; AI-powered insights	Chatbot-style FP&A assistant for data queries, report generation, and trend analysis; Tailored generative AI models that learn from your data	Finance teams in Excel/Microsoft ecosystems wanting AI insights without leaving familiar tools
Jirav	Jirav “Autoforecast” (Intelligent Forecasting); driver-based models; templates	One-click AI-generated forecasts based on historical financial data; Quick implementation for budgeting, reporting, and dashboards	Small and mid-size businesses, accounting firms, and CFO advisors needing fast, high-quality forecasts and easy planning
Fluence	AI-automated financial consolidation; Excel-linked reporting; disclosure management	Automates data consolidation and close processes, freeing analysts for value-add work; Rapid deployment (live in weeks) and Excel-friendly interface	Mid-market companies with complex consolidation needs (multi-entity financial reporting) looking to streamline the close process
SAP Analytics Cloud (SAC)	Smart Predict (forecasting); Smart Insights (auto analysis); “Search to Insight” natural language queries; Joule AI assistant (planned)	Machine learning finds hidden patterns and drivers in data; Users ask questions in plain language and get instant analytics answers; integrates planning with business intelligence in one platform	Enterprises (especially SAP users) needing unified planning & analytics with robust AI for data analysis, forecasting, and visualization

10 AI-Powered FP&A Tools Detailed Review

Below, we explore each tool in depth, highlighting how they leverage AI to enhance financial planning, forecasting, and analysis. 

Each section covers what the software does, its standout AI features, and the benefits for finance teams.

1) Datarails FP&A Genius

Since 2015, Datarails software has allowed FP&A departments to keep using the Excel spreadsheets they’ve been working with for years, while empowering them with all the features modern financial professionals need. 

In March 2023, Datarails announced its breakthrough into the world of AI with FP&A Genius, and since then, it has become an entire set of AI tools that transform the way finance teams work. This suite has quickly positioned Datarails as a leader in AI-driven FP&A.

AI Features:

FP&A Genius offers multiple AI capabilities. The first is a ChatGPT-style chatbot that lets users ask questions in plain English and get instant answers based exclusively on their company’s financial data. 

This conversational interface can explain variances, fetch specific metrics, or provide narrative analysis on the fly, saving CFOs and analysts from manual data searches. 

The second feature is Storyboards. This AI feature produces dashboards and visuals based on the inputs, so with just two clicks, you can pull up real-time data visuals, even if you are in the middle of a meeting.

Most impressively, Datarails launched Reports by Genius. It lets you input any Key Performance Indicators (KPIs) that drive your business, alongside your preferences for the type of report executives would like to receive, including trend identification, variance analysis, predictions, and budget vs actual (BvA). 

The AI generates instant reports in any format and can surface the “what”, “why”, and “what’s next” in its analysis.

With the newest “Reports” tool, Datarails has cemented itself as the leader in AI among FP&A software.

Benefits:

• Formatted and actionable data: These reports are generated instantly, can be in any form, including monthly, quarterly, or ad hoc reporting, and are available in any format, including PDFs. They are also created with AI-generated graphs and powerful insights, such as variances, and the reasons they occurred, leading to a concrete recommendation for action.
• Conversational interface: FP&A Genius’s ability to directly interpret questions means the CFO can get answers faster than ever before – no manual manipulation required.
• Security: Data used by FP&A Genius is always secure, and external data is pulled strictly from trusted sources.

2) Planful Predict

Planful is a cloud-based FP&A platform designed to help organizations streamline their financial processes and drive better decision-making. In 2021, they announced the first tool in their Predict suite of AI programs: Predict: Signals. In 2022, they augmented their AI offerings with the introduction of Predict: Projections.

AI Features:

• Predict: Signals–Planful’s first AI program is intended to spot mistakes in data, formulas, and financial predictions. It flags these errors for FP&A team members to check and fix, helping to eliminate the possibility of human error in projections and reports. 
• Predict: Projections–Projections is the next step in Planful’s adoption of AI. It takes Predict’s functionality a step further by creating forecasts informed by historical data. This allows the projections to be unbiased and informed solely by the data and the AI’s understanding of the variables affecting a firm.

Benefits:

• Error detection: Predicts signal anomalies in data, formulas, and projections to help teams catch mistakes early and improve reporting integrity.
• Bias-free forecasting: Predict’s projections use historical data to create accurate, objective forecasts that reflect real trends and not just human assumptions.
• Integrated insights: AI-driven insights and workflows are embedded directly into planning activities, helping finance teams act faster with contextualized intelligence.

3) Workday Adaptive Planning

Workday has been serving the business world since 2005. The business and technology landscape today is almost unrecognizable compared to what it was in 2005, so it’s no surprise that Workday prioritizes adaptation. 

In their effort to evolve alongside the market, Workday emerged as an early adopter of AI functionality, and given the space’s current popularity, they only plan to grow their offerings. 

AI Features:

• Anonymous Neural Network Analysis: Workday offers an opt-in program that analyzes users’ actions. Millions of users have signed on, which means Workday AI gets to train and grow using lots of real-world data points. 
• Built-In Machine Learning: Most other companies keep their data storage and machine learning models separate, requiring an occasional lengthy data transfer. Workday, however, embeds machine learning into the data store itself, providing for faster and more adaptive modeling.

Benefits:

• Conversational access: Users can interact with planning data using natural language queries to surface answers and receive executive-ready insights quickly.
• Embedded AI architecture: Machine learning is built into the platform’s core data engine, allowing for faster and more responsive forecasting and modeling.
• Personalized variance analysis: Intelligent variance detection highlights anomalies and provides contextual narrative explanations automatically.

4) Anaplan PlanIQ

Anaplan is an enterprise data platform that specializes in business planning. Their recent venture into AI comes in the form of their PlanIQ, which is a paid add-on to the basic Anaplan software. 

As is their expertise, PlanIQ is designed to help alleviate some of the pain points that come with traditional forecasting, like difficulties in adapting to rapidly changing market data.

AI Features:

• PlanIQ is Anaplan’s flagship AI feature for predictive forecasting. It uses advanced time-series forecasting techniques to churn through your historical data and generate highly accurate predictions for financial and operational metrics. 
• Under the hood, PlanIQ integrates with Amazon’s machine learning engine (Amazon Forecast), leveraging AWS’s AI expertise to enhance its predictive power. This means users benefit from algorithms that have been trained on vast amounts of time series data. 

Benefits:

• Data flexibility: PlanIQ can analyze up to three types of data at once, improving its forecast accuracy and relevance.
• Amazon Integration: PlanIQ uses Amazon’s intelligent forecasting engine, which is backed by its vast machine learning capabilities.
• Adjusting forecasts: The intelligent engine continuously updates users’ forecasts, helping them keep up with market trends without a long re-forecasting process. 

5) Cube

Next, we have Cube, an FP&A software that automatically syncs your financial data to your spreadsheets. It also offers features like customizable dashboards, one-click drill-down, report templates, source systems integrations, and automated workflows.

AI Features:

Cube’s new AI capabilities are described as “Agentic A,” meaning the AI works proactively alongside the user. In practice, Cube can now generate AI-assisted forecasts, model flexible scenarios, and explain key variances automatically. 

For example, instead of spending days tweaking spreadsheets for a forecast, a Cube user can have the system suggest a forecast for them based on historical financial data and trends. The AI will populate the spreadsheet model with projected values that your finance team can then review and refine. 

Benefits:

• Unifies all your data in one place on the Cube dashboard
• Can cut planning cycle time in half: Save time on this task so you can devote it to other tasks that can’t be automated.
• Automates repetitive tasks: Again, this gives you more time to focus on tasks that AI has yet to master.

6. Pigment

Pigment is a modern business planning platform designed for finance, HR, and operations teams. In 2025, Pigment introduced its suite of AI agents: Analyst, Planner, and Modeler. Each agent is purpose-built to support real-time decision-making and scenario planning.

AI Features:

• Analyst Agent: This AI analyst reviews internal and external data to detect trends, highlight anomalies, and generate visuals and written summaries.
• Planner Agent: Acts on those insights by automatically suggesting revised plans or forecasts, and continuously runs new scenarios based on updated assumptions.
• Modeler Agent: Maintains and updates models as the business changes, such as when a new product line is added or when organizational structures shift.

Benefits:

• Collaborative AI agents: Analyst, Planner, and Modeler agents work together to uncover insights, suggest plans, and update models.
• Proactive recommendations: The Planner agent proposes updated forecasts or strategies based on real-time performance data.
• Continuous model maintenance: The Modeler agent ensures your planning environment stays current and clean, reducing time spent on upkeep.

7. Vena

Vena is a Complete Planning platform that integrates tightly with Microsoft Excel and Power BI. In 2024, Vena launched Copilot, an AI assistant powered by Azure OpenAI.

AI Features:

• Copilot: A natural language interface that allows users to ask financial questions and generate reports in real time.
• Custom AI training: Businesses can tailor Copilot to learn from their historical data, improving results over time.
• Microsoft integration: Copilot works within Excel and PowerPoint, making planning, reporting, and presentations more efficient.

Benefits:

• Natural language queries: Vena Copilot lets you request financial data or generate reports using conversational prompts.
• Excel-friendly workflow: Copilot integrates seamlessly into Microsoft 365 tools like Excel and PowerPoint, streamlining reporting and presentations.
• Custom-trained models: AI adapts over time by learning from your business’s financial history, improving accuracy and relevance with each use.

8. Jirav

Jirav is an FP&A and reporting platform built for startups, SMBs, and accountants. Its Autoforecast feature provides smart forecasting without complex setup.

AI Features:

• Jirav’s Autoforecast capability automatically generates detailed financial forecasts for you based on historical performance.
• It analyzes trends in revenue, expenses, and headcount, then uses those drivers to project future results. The process requires minimal setup and can be completed with a single click, making forecasting accessible even for smaller teams. 
• The AI also enables dynamic modeling, linking key drivers and creating dashboards that are ideal for internal use or client-facing presentations.

Benefits:

• One-click forecasts: The Autoforecast tool instantly creates financial projections using historical performance and smart assumptions.
• Driver-based modeling: Jirav automatically identifies business drivers and links them to key financial outcomes.
• Advisory-ready insights: Accounting and CFO firms can deliver immediate value to clients with high-quality, AI-driven forecasts and plans.

9. Fluence (An Anaplan Company)

Fluence focuses on financial consolidation and reporting for mid-sized companies. Following its acquisition by Anaplan in 2025, Fluence is enhancing how it automates multi-entity consolidation.

AI Features:

• Fluence automates the entire consolidation process by collecting and validating data from multiple systems. It applies consolidation rules, performs intercompany eliminations, and produces financial statements without relying on manual spreadsheets. 
• The platform’s tight integration with Excel allows finance teams to work within a familiar interface while ensuring consistency and compliance. Real-time validations catch errors early, reducing the risk of delays or restatements.

Benefits:

• Accelerated close process: Automates multi-entity consolidations and eliminates manual reconciliation tasks.
• Excel integration: Financial statements and reports can be created or edited directly within Excel while remaining connected to source data.
• Real-time validations: Built-in checks ensure data integrity and flag errors before final reporting, minimizing compliance risk.

10. SAP Analytics Cloud (SAC)

SAP Analytics Cloud is a planning and business intelligence platform that combines predictive analytics, data visualization, and AI-driven planning in one solution.

AI Features:

• SAC includes Smart Insights, which automatically explains spikes or anomalies in data by identifying their underlying drivers. Smart Predict allows users to build predictive models using built-in ML algorithms, helping finance teams forecast revenue, costs, and cash flow with accuracy. 
• Just Ask and Joule bring conversational capabilities to the platform, helping users ask complex financial questions and receive instant visualizations and narrative answers, without needing to manually dig into reports.

Benefits:

• Narrative explanations: Smart Insights reveals the “why” behind numbers without complex manual analysis.
• Forecast-ready modeling: Smart Predict enables fast time-series forecasts that feed directly into planning workflows.
• Conversational interaction: Natural language tools like Just Ask and Joule allow users to ask complex questions and receive instant visual and written answers.

FAQs: The Top 10 AI FP&A Tools in 2025

What Makes An AI FP&A Tool Stand Out?

Standout AI FP&A tools usually excel in a few areas: integration, intelligence, and usability. 

Integration means the tool connects easily with your financial data sources (ERP, CRM, spreadsheets, etc.) and consolidates data in one place for analysis. 

The top tools have seamless data integration and consolidation, so the AI has a rich, unified dataset to learn from. 

Intelligence refers to the sophistication of the AI/ML features—does the tool just do basic forecasting, or does it also explain variances, detect anomalies, and offer recommendations? 

The best tools combine multiple AI capabilities (predictive models, generative chatbots, agentic automation). 

Lastly, usability is fundamental. A standout tool will have an intuitive interface—often a conversational Q&A or familiar spreadsheet environment—so finance teams can easily adopt it. 

No matter how powerful an AI is, if it’s too hard to use, it won’t deliver results. 

How To Choose The Right Tool?

Every finance team has somewhat different needs from an FP&A AI tool, but there are a handful of steps to consider to help you land on the right one:

1. Identify Your Use Cases.
2. Consider Your Data and Systems.
3. Evaluate AI Capabilities (Depth vs. Simplicity).
4. Scalability and Ideal Users.
5. Trial and Demos.

Ultimately, the right tool is the one that fits your data environment, addresses your key FP&A challenges with AI-driven solutions, and can be adopted by your team. 

Can The AI Learn From A Company’s Historical Financial Data To Improve Over Time?

Yes— a hallmark of AI/ML in FP&A tools is that they learn from historical data to become more accurate and tailored to your business. 

When you first implement an AI FP&A solution, it may start with industry-general models, but as you feed it your company’s actuals and plans over multiple cycles, it adjusts its models to your patterns.

Over time, as more actual vs. forecast data is available, it can refine its projections. That means if your business has unique seasonality or cost drivers, the AI will pick up on those nuances after seeing a few periods.

The first forecast you get from the system might be a decent starting point; the tenth forecast, after the AI has seen nine periods of actuals to compare and learn, should be even better. 

How Do AI-Based FP&A Tools Handle Data Security and Privacy?

Data security and privacy are paramount, especially when dealing with sensitive financial information. 

AI-based FP&A tools typically implement multiple layers of security to protect your data:

• Secure Cloud Infrastructure.
• Access Controls and User Permissions.
• Data Isolation.
• AI Model Privacy.
• Compliance and Certifications.
• Audit Trails.

How Does AI Enhance Data Analysis In FP&A?

AI enhances data analysis in FP&A by automating complex analytical tasks and surfacing insights that might be hard to find manually. 

Here are a few major ways:

• Automated Anomaly Detection.
• Predictive Analytics and Forecasting.
• Natural Language Query & Analysis.
• Insight Generation and Explanation.
• Scenario Planning and Optimization.

Conclusion

As AI becomes more ubiquitous in the business world, 2025 is shaping up to be the most exciting time to work in FP&A since the advent of spreadsheet software. 

The 10 AI FP&A tools listed here represent the best of this new movement and can help FP&A departments of any size or industry work smarter and more efficiently.