10+ best FP&A AI agents software for financial planning

Key takeaways: 

• FP&A AI agents act like always-on digital analysts, automating data prep, forecasting, and variance analysis so finance teams focus more on judgment and partnering.
• The strongest platforms combine agentic AI with a governed data model, keeping outputs explainable, auditable, and aligned across finance, operations, and leadership.
• AI agents work best when they plug into existing workflows such as spreadsheets, chat tools, and planning models instead of forcing teams onto entirely new systems.
• FP&A roles are shifting away from manual reporting toward scenario design, storytelling, and strategic decision support as AI takes over the repetitive mechanics.

What are FP&A AI agents?

FP&A AI agents are intelligent software assistants that sit inside your planning and analysis stack and handle finance tasks on your behalf. Instead of manually pulling data, running models, and updating reports, these agents connect to your systems, interpret instructions in natural language, and carry out multi-step workflows such as forecasting, variance analysis, or budget updates.

They build on large foundation models, so they do more than answer questions. They can plan and execute sequences of actions, learn from prior runs, and adapt as data changes. Research on agentic AI notes that many companies already explore this category: roughly 23% of surveyed organizations say they are scaling at least one AI agent system in a business function, and another 39% are actively experimenting. That means a growing share of FP&A teams will work alongside agents that automate parts of their day-to-day cycle rather than doing everything by hand.

What can AI agents do for FP&A?

FP&A AI agents have the following capabilities:

• Conversational capability: Lets stakeholders ask questions in tools like Slack, Teams, or web apps and get instant, data-backed answers without filters or formulas.
• Automated variance analysis: Surfaces material variances against plan, pinpoints drivers by segment or account, and drafts commentary that FP&A can refine.
• Smart forecasting: Builds rolling forecasts using historical patterns and key drivers so you can test assumptions quickly and keep plans current.
• Intelligent mapping: Turns plain-language rules into structured mappings across entities, accounts, and dimensions, so updates roll through models without manual recording.
• Reports and narratives: Assembles recurring decks, tables, and written insights so monthly reviews and board packages arrive faster with consistent messaging.
• Workflow orchestration: Coordinates multi-step tasks such as data refreshes, notifications, approvals, and publishing, so planning cycles run with fewer manual handoffs.
• Risk and anomaly monitoring: Watches key metrics for unusual patterns, flags issues early, and prepares initial analysis for deeper review by FP&A.
• Self-service reporting: Enables business users to generate tailored dashboards and reports by using natural language prompts so FP&A spends less time on ad hoc pulls.
• Scenario and what-if simulation: Creates and compares multiple plan versions and what-if cases on demand so teams can see upside, downside, and base outcomes side by side.
• Continuous rolling planning: Keeps plans and outlooks continuously updated as new actuals and drivers arrive, so forecasts act like a living model instead of a one-time exercise.
• External data enrichment: Pulls in external signals such as market trends, interest rates, and seasonality so projections reflect real-world conditions, not just last year plus a percentage.
• Governance and security: Applies role-based access, audit trails, and approval workflows so AI-assisted planning still respects segregation of duties and compliance requirements.

Best AI agents for FP&A teams 

FP&A AI agents now sit at the core of modern planning, forecasting, and reporting workflows. For this list, we focused on platforms that pair strong planning foundations with agentic capabilities such as automated analysis, natural language queries, and enterprise-ready governance, and that show clear traction with finance teams through reviews and market presence. 

1. Cube

Best for: FP&A teams that want agentic AI inside Excel and Google Sheets

Cube is a spreadsheet-native, AI-powered FP&A platform that helps companies hit their numbers without having to sacrifice their spreadsheets. Cube helps finance departments work anywhere, integrating natively with both Excel and Google Sheets, so that they can plan, analyze, and collaborate with the ultimate speed and confidence.

Cube’s FP&A agents layer over that familiar environment so teams can ask natural language questions, trigger automated variance analysis, and generate updated forecasts without rebuilding models in a separate interface. Instead of hunting through tabs and formulas, analysts get faster answers and clearer explanations that stay grounded in governed financial and operational data.

Cube enables finance teams to keep full ownership of their models, manage who sees what, and review AI-generated narratives or scenarios before sharing them, so every insight you ship to leadership still feels like it came from your team.

Key features: 

• Agentic AI analyst: Lets users ask finance questions in natural language inside Slack, Microsoft Teams, or Cube and returns clear answers based on governed data. 
• Automated variance analysis: Flags key budget versus actual shifts, identifies revenue and cost drivers, and drafts variance commentary that finance leaders can refine. 
• Smart forecasting: Generates AI-assisted forecasts that use historical trends and drivers so teams update outlooks quickly and test new assumptions with less manual work. 
• Intelligent mapping: Converts plain language mapping rules into structured dimensions and hierarchies so changes cascade across entities, accounts, and models without error-prone rework. 
• Spreadsheet native modeling: Keeps bi-directional sync with Excel and Google Sheets so FP&A can plan, report, and model in familiar files while data stays centralized. 
• Governed, secure AI: Relies on structured, controlled financial and operational data with SOC 2 Type II, role-based access, and audit trails so AI insights stay transparent and compliant.  

What customers say:

“If executive management asks me a question I don’t know then and there, I can now get the answer with a click of a button.” Daniella Mehalik, VP of Finance, Psychemedics

Learn more about Cube

2. Jedox AI

Best for: Multi-agent FP&A and planning across complex, multi-entity data

Jedox AI is a multi-agent intelligence engine inside the Jedox planning platform. It uses agentic AI, machine learning, and generative models to detect patterns, learn from historical and real-time data, and deliver explainable forecasts and performance insights that reflect how the business actually operates.

Jedox AI combines ERP, CRM, and other operational sources into one planning model so finance can explore drivers, run structured what-if scenarios, and keep rolling forecasts aligned with current conditions under enterprise-grade privacy and governance.

Key features: 

• Multi-agent intelligence engine: Uses multiple cooperating agents to turn financial and operational data into forecasts, insights, and planning guidance across the business.
• Pattern detection and forecasting: Identifies patterns in historical and in-period data and produces forecasts that adapt to changing churn, demand, and revenue dynamics.
• Planning Wizards for finance workflows: Guides driver analysis, revenue forecasting, demand planning, churn prediction, anomaly detection, and data readiness with structured workflows.
• Context-aware planning: Analyzes revenue, cash flow, and other metrics in the context of departments, drivers, workflows, and scenarios to support explainable forecasts.

3. Board Intelligent Planning

Best for: AI planner agents unifying finance and operations

Board Intelligent Planning is an enterprise planning platform that supports continuous planning across financial and operational processes. It brings FP&A and operations onto a single model so teams plan, budget, and forecast against one version of the truth, supported by real-time insights and shared dashboards instead of disconnected spreadsheets.

Board’s new generation of AI-powered Planner Agents uses analytical and generative AI to help planners explore large data sets, run rolling scenarios, and respond to shocks such as tariff changes with structured, scenario-based forecasting.

Key features: 

• AI-powered planner agents: Uses analytical and generative AI to support dynamic exploration, continuous planning, and decision support across large, complex data sets.
• Board foresight: Supports continuous planning and forecasting so finance and operations track performance and adjust plans in a single environment.
• Board signals: Brings expert-curated external data into the planning model so scenarios and assumptions reflect current market and economic signals.
• Enterprise planning platform: Connects planning solutions on one platform so finance and operations work from shared data, logic, and performance metrics.
• Extended planning and analytics (xP&A): Extends planning beyond FP&A into areas such as strategic planning, capital and resource planning, and integrated business planning.

4. OneStream XF

Best for : Enterprise FP&A teams using AI forecasting on a unified platform

OneStream XF is a unified finance platform that includes AI-powered planning and forecasting as part of its core offering. The SensibleAI portfolio (Forecast, Studio, and Agents) provides quantitative, generative, and agentic AI that sits directly on the same data model used for consolidation, reporting, and planning.

SensibleAI Forecast applies machine learning to select forecasting models by line item and incorporate external drivers. SensibleAI Studio supplies prebuilt AI routines and tools for building custom models, while SensibleAI Agents function as generative AI assistants that respond to natural language queries, synthesize data across systems, and support forecasting, variance analysis, and planning tasks within established governance and audit trails.

Key features: 

• AI-powered planning and forecasting: Uses quantitative, generative, and agentic AI within the platform to support different stages of forecasting maturity.
• SensibleAI forecast: Applies machine learning to choose model types by line item, integrate external drivers, and generate AI commentary on forecast outputs.
• SensibleAI studio: Offers an AI toolkit with routines such as regression, anomaly detection, and natural language-to-SQL, plus options for custom model design.
• SensibleAI agents: Provides generative AI assistants that respond to natural language, bring together cross-system data, and assist with planning and variance analysis.

5. Prophix Software

Best for: Finance teams adopting autonomous, agentic workflows for planning and close

Prophix One Intelligence is the AI engine inside the Prophix One platform. It brings agentic AI to planning, close, and reporting so finance can use embedded automation and prediction to reconcile transactions, forecast outcomes, and explain anomalies within one environment.

Prophix One Agents act as AI-powered teammates that help build budgets, create board-ready reports, manage the close, and update models with explainable, audit-ready outputs. 

Key features: 

• Prophix One Intelligence engine: Provides the AI layer for planning, close, and reporting across the Prophix One platform.
• Prophix One Agents: Supports tasks such as budget creation, board reporting, close management, and model updates with agentic workflows.
• Prophix One Copilot: Answers questions about figures and product usage so users can access guidance through natural language.
• Embedded automation and prediction: Automates transaction reconciliation, outcome forecasting, and anomaly explanations to replace manual checks with AI-driven processes.
• Autonomous finance workflows: Enables budgeting, planning, forecasting, and close activities to run with AI assistance while staying explainable and audit-ready.

6. ChatFin AI

Best for: Agent-based automation across finance and accounting functions

ChatFin AI is an AI super agent platform for finance and accounting teams. It provides domain-specific agents for controllership, FP&A, accounts payable, accounts receivable, tax, treasury, and related operations, so core processes sit in one environment instead of separate tools.

Teams can select from pre-built agents or configure their own to support tasks such as data queries, reconciliation, analytics, document processing, invoice handling, and contract checks. ChatFin AI also integrates with systems like SAP, so agents can operate against existing finance data and workflows rather than requiring a new transactional system.

Key features: 

• Finance super agent coverage: Provides AI agents for controllership, FP&A, AP, AR, tax, treasury, and operations on a single platform.
• FP&A automation: Uses FP&A-focused agents to assist with planning, analysis, and finance operations tasks.
• Accounts payable processing: Applies AI to invoice handling, document processing, and payment-related workflows in AP.
• Accounts receivable management: Supports AR activities such as collections and receivables monitoring through dedicated agents.
• Tax and compliance assistance: Includes agents who help with tax compliance work and contract compliance checks

7. Vena Solutions

Best for: FP&A teams using collaborative AI copilots in Microsoft ecosystems

Vena Copilot is an FP&A-focused AI assistant that runs on Vena’s CubeFLEX data model and Microsoft Azure. It orchestrates multiple agents in the background, selecting the right one at the right time so users receive context-aware insights for analytics, reporting, and (soon) planning without managing individual bots.

Agents such as the Analytics Agent and Reporting Agent generate insights from financial and operational data, simulate scenarios, perform variance and trend analysis, and create reports with drill-downs. Vena Copilot works directly in Microsoft Teams and Excel Live, so finance and business users can query data, build ad hoc views, and collaborate on reports while using their existing communication and spreadsheet tools.

Key features: 

• Agent orchestration in Vena Copilot: Coordinates multiple FP&A agents in the background so users receive context-aware answers and insights without selecting specific bots.
• Analytics agent: Generates insights from financial and operational data, supports scenario simulation, and produces variance and trend analysis to inform decisions.
• Reporting agent: Creates financial reports for any view, with drill-downs into underlying data, and allows business users to generate ad hoc reports.
• Microsoft Teams integration: Runs Vena Copilot directly inside Teams meetings and chats so users can query data and receive FP&A support during live discussions.
• Excel live and ad hoc reporting: Connects Vena’s ad hoc reporting with Excel Live so teams can build and edit reports collaboratively without leaving the meeting environment.

8. Workiva

Best for: AI-assisted reporting across finance, risk, and sustainability

Workiva AI is an agentic intelligence layer built into the Workiva platform for financial reporting, audit, risk, and sustainability teams. It runs where reporting work already happens, using your existing structured data to support tasks such as drafting disclosures, analyzing peers’ filings, summarizing MD&A, and preparing risk factor language.

The AI is designed around common workflows like creating narratives from tables, checking alignment with accounting standards, examining debt agreements, and preparing for earnings calls. It operates inside the same governed environment as the rest of the Workiva platform, so financial, risk, and ESG content, analysis, and visuals stay linked to a single source of reporting data.

Key features: 

• Specialized AI for reporting workflows: Targets financial reporting, audit, risk, and sustainability scenarios instead of generic document use cases.
• Create: Generates content grounded in existing data and documents, such as narratives from tables, controls from documentation, or draft disclosures.
• Analyze: Reviews disclosure drafts against selected standards, benchmarks language against peers, and summarizes complex materials like MD&A sections.
• Design: Transforms written content into visuals such as process flowcharts based on risk and control program data.
• Learn: Provides a library of predesigned prompts for finance, audit, risk, and sustainability use cases and guides users on platform usage.
• Search: Uses natural language to retrieve prior reports, internal documents, or external filings without leaving the Workiva platform.

9. IBM Planning Analytics with Watson

Best for: FP&A teams adding agentic assistants to existing planning models

IBM Planning Analytics with Watson includes the planning analytics assistant, a natural language layer that sits on top of planning data and security. With agentic capabilities delivered through watsonx Orchestrate, the assistant shifts from a passive responder to an orchestrator that can automate tasks, trigger workflows, and coordinate actions across connected systems.

Users can run analysis in everyday language, offload routine work such as month-end close activities, data updates, or model refreshes, and build custom agents that reflect their own logic and models. The assistant supports real-time insights, recommendations, and scenario comparisons so teams move from simple query and response into continuous, agent-driven planning.

Key features: 

• Natural language querying: Lets users ask questions in everyday language, such as “show last year’s revenue for mobile phones,” and returns structured views without coding.
• Agentic execution with watsonx Orchestrate: Connects planning analytics assistant to Watsonx Orchestrate so natural language prompts can trigger workflows, automate approvals, and sync downstream systems.
• Task and workflow automation: Automates repetitive activities like month-end close steps, data updates, and model refreshes, so planning processes run with less manual intervention.
• Custom agent definition: Allows teams to build agents that reflect their own models, business logic, and knowledge, so agentic workflows align with existing planning structures.
• Natural language impact analysis: Scans data views for associations across dimensions, applies techniques such as linear methods and kernel PCA, and summarizes findings in plain language.

10. Planful

Best for: Continuous, driver-based financial planning that integrates budgeting, forecasting, and consolidation in a single cloud platform.

Planful provides AI features embedded within its cloud-based FP&A platform. It offers an analyst assistant that processes plain‑language questions and returns explainable answers based on the platform’s governed data and calculation engine. It also includes signals, which detect anomalies and risks, and projections, which apply machine learning to create budgets and forecasts from historical data. 

These AI features work alongside the broader FP&A functionality, enabling finance teams to review insights, update forecasts, and manage consolidation tasks within a controlled, auditable environment. The system keeps data secure, maintains role‑based access, and does not utilize customer data to train external models.

Key features: 

• Analyst assistant: Allows users to ask questions in plain language inside the platform and receive role‑aware, explainable answers

• Help assistant: Provides step‑by‑step guidance, answers for tasks, and supports team adoption of the platform
• Projections: Generates forecasts using machine‑learning models based on an organization’s historical data
• Signals: Monitors financial data to detect anomalies, outliers, and risks in real time
• Trust & security controls: Maintains end‑to‑end encryption, dimension‑level access controls, and ensures data does not train external models

Benefits of FP&A AI agent software

FP&A AI agents change how finance teams work day to day. Here are some of their benefits: 

• Faster planning and forecasting cycles: Reduces manual data prep, model refreshes, and report assembly, so forecasts update more frequently without adding headcount.
• Analysis and partnering: Shifts effort away from reconciliations and copy-paste tasks so FP&A can spend more time on driver analysis and stakeholder conversations.
• Variance and risk monitoring: Tracks actuals against plan, flags unusual movements, and highlights potential risks before they show up in month-end decks.
• Consistent narratives and reports: Generates first draft commentary and recurring reports from the same data model so messaging stays aligned across audiences.
• Data quality and governance: Uses defined mappings, rules, and access controls so planning logic and source data stay consistent across models and versions.
• Self-service insight for stakeholders: Lets business leaders ask questions in natural language and access views on their own, which reduces ad hoc request volume.
• Faster adoption of new data and signals: Incorporates external drivers and fresh operational data into forecasts quickly, so plans stay closer to what is happening in the market.
• Scalable FP&A processes: Supports growth in entities, products, and regions without linearly growing manual work, since agents can run the same patterns at a larger scale.

Choose the best FP&A AI agent for your finance team 

FP&A AI agents change how finance plans, forecasts, and reports. Instead of manual data prep and scattered tools, your team works inside a single environment where agents maintain models, monitor variances, and answer questions in natural language. The right platform links those agents to governed data, clear controls, and the systems you already rely on.

Choose a solution that supports rolling forecasts, scenario testing, and self-service insight while finance stays in charge of logic and access. When agents live inside Excel and Google Sheets, FP&A can test ideas, align stakeholders, and refresh outlooks without rebuilding core models.

Cube brings agentic AI into a spreadsheet native FP&A platform, so AI accelerates analysis while your team owns the story. Cube’s FP&Agents give finance teams faster answers, deeper insights, and clearer “whys” by mirroring how strategic finance teams think, plan, and lead. They are built on three principles, context, accuracy, and control, so every insight stays grounded in governed financial and operational data, remains explainable and traceable, and fits the lens your team already uses to run the business. That combination lets FP&A move quickly, keep full ownership of models and narratives, and spend more time advising leaders instead of chasing numbers.

Book a demo to see Cube in action.