Cube’s FP&A AI is an agentic AI system designed specifically for financial planning and analysis workflows. It operates within spreadsheet, browser, and chat environments to support finance teams with data‑backed insights, contextual understanding, and structured automation. The AI functions on governed, up‑to‑date financial and operational data, ensuring outputs remain explainable and traceable. Its conversational interface enables users to ask questions, generate insights, forecast scenarios, and interpret variances quickly. Cube’s AI reflects how finance teams think and plan, reinforcing speed, accuracy, and control without replacing human judgment.

Key Features

Conversational Agents Provide instant, data‑supported answers across Slack, Teams, or Cube’s own interface.

• Respond in natural language
• Eliminate manual filtering or formula building

Automated Analysis Highlights variances and adds context to financial reports automatically.

• Detects key drivers
• Generates clear narrative explanation

Smart Forecasting Generates AI‑powered forecasts based on structured financial data.

• Adjust assumptions interactively
• Maintain control over final forecast outputs

Intelligent Mapping Transforms plain‑language instructions into structured financial logic.

• Reduces manual mapping work
• Ensures error‑free data structuring

Accuracy Controls Ensures results are grounded in governed data.

• AI outputs tied to validated systems
• Traceable and explainable insights

Benefits

Faster Financial Insight Generation Accelerates planning and reporting by reducing manual data handling.

• Quick responses from conversational agents
• Automated variance and trend analysis

Greater Clarity and Context Enhances understanding with narrative‑ready explanations.

• Clear “what” and “why” of results
• Improved decision support

Improved Data Trust and Control Strengthens governance and reduces risk of inaccuracies.

• Governed, up‑to‑date data
• Explainable and transparent AI outputs

Accessible for Non‑Technical Users Removes complexity from financial modeling tasks.

• Natural‑language interactions
• No technical training required