

Run what-if scenarios in minutes to assess the key drivers that affect your business.


Pigment offers fine-grained security controls to let you configure what an individual or a group of users can do, see, or modify on any board, metric, dimension or cell.
Instantly add a new actual and forecast period everywhere in your model.




Pigment's budgeting tool improves fp&a by providing a comprehensive platform for creating detailed budgets and forecasts. With real-time data updates, scenario analysis, and native collaboration embedded across the platform, our tool ensures accurate financial planning and helps you respond quickly to changing business conditions.
When choosing budgeting and forecasting software, look for features such as seamless data integrations, real time data visibility across the platform, scenario planning, customizable dashboards, and ease of collaboration. Pigment provides all these features, along with advanced forecasting capabilities and a user-friendly interface, to enhance your budgeting and forecasting processes.
With Pigment, you can create financial forecasts including revenue forecasts, expense forecasts, cash flow projections, and more. Our flexible forecasting tools allow you to model different scenarios using flexible assumptions and key business drivers to analyze their impact on your budget, helping you make informed financial decisions.
AI strengthens financial forecasting by quickly analyzing large volumes of data, surfacing trends, and highlighting risks that might be easy to overlook. It helps finance teams build baseline forecasts faster, run what-if scenarios in seconds, and spot unusual patterns, such as early signs of a collections slowdown that could impact cash flow. With Pigment’s Predictions feature, machine learning is built directly into your models, generating continuously updated forecasts for revenue, expenses, headcount, and other key metrics based on live business data. While AI accelerates the work and delivers powerful predictive insights, human expertise remains essential to apply context around market shifts, promotions, or strategic changes.
Learn more about Pigment’s AI capabilities here: Pigment AI
Strong forecasting is both visible and measurable. Core KPIs include how quickly forecasts are produced and refreshed (for example, days from period close to updated outlook), how reliably stakeholders contribute (on-time submission rates), and how accurate projections are at different horizons (such as 1-, 3-, or 6-month revenue MAPE). It is also useful to track agility, such as how long it takes to run a what-if scenario, and the frequency of unexpected outcomes like unplanned cash shortfalls or mid-cycle reforecasts. Together, these indicators give teams a clear view of forecasting quality and where to improve.
For more on different forecasting methods and best practices, see our guide: Comprehensive Guide to Financial Forecasting Methods
Rolling forecasting keeps your outlook continuously updated by extending the forecast window each period. Instead of planning once a year, teams refresh assumptions frequently to stay aligned with current performance. A typical cadence might add a new month as soon as one closes, so you always maintain a 12- or 18-month view. Useful KPIs include days to refresh the forecast, accuracy at short and mid-term horizons, and how quickly teams can test scenarios. Rolling forecasting helps organizations respond faster to market shifts, identify risks earlier, and make more confident decisions based on the most recent data.
For more about rolling forecasts and how to implement them, see our blog: Rolling Forecasts - An Overview
Pigment connects directly to the core systems that finance teams rely on, so forecasts are always built on the latest data. Actuals flow in from ERP and accounting tools such as NetSuite, SAP, or Sage Intacct, while pipeline and bookings data can sync from Salesforce. HR platforms like Workday or HiBob keep headcount and compensation assumptions current, and data warehouses including Snowflake or BigQuery help centralize and enrich operational data. This connected approach removes manual data collection, reduces errors, and gives teams a single source of truth for fast, reliable forecasting.
Explore our full integration ecosystem here: Pigment Integrations.
Additionally, Pigment MCP Server lets AI tools securely access Pigment’s data and logic with the right permissions. This infrastructure enables trusted, seamless interoperability between Pigment and external AI systems such as ChatGPT and Claude.
Yes. Pigment is built for large, multi-entity enterprises that need scalable budget planning, reporting, and financial forecasting. Companies like Unilever, Coca-Cola, Vinci Airports, and Keolis use Pigment to unify financial data across dozens of systems, eliminate spreadsheet silos, accelerate consolidation, and improve forecast reliability. High-growth global teams such as Fivetran, Vinted, Figma, HomeServe, Supercell, Notion, and Carta rely on Pigment as their real-time source of truth to run scenarios faster and make more confident financial decisions.