Cube and Rillet Unite to Deliver Real-Time, AI-Driven FP&A for Finance Teams
Two fast-moving finance platforms just connected the dots between accounting actuals and FP&A action. Cube and Rillet announced a partnership that pipes Rillet's clean, structured general ledger straight into Cube's AI-driven planning engine-so teams can query, forecast, and analyze results in seconds.
The goal is simple: one source of truth, no lag, and instant insight without leaving the tools you live in-Excel, Google Sheets, the browser, or chat.
Why this matters for FP&A
Speed and clarity win in finance. With real-time actuals flowing into an intelligence layer, you can shorten the close, answer performance questions on the spot, and move from "collecting data" to "testing scenarios" in minutes.
As Christina Ross, CEO and Founder of Cube, put it: "Finance teams are being asked to move faster and think more strategically. Rillet's streamlined GL pairs perfectly with Cube's intelligence layer-real-time actuals, automated variance analysis, conversational insights, and AI-driven forecasts-inside the tools teams already know."
How the integration works
Rillet supplies structured, real-time GL data. Cube turns those transactions into forecasts, variances, and conversational insights in seconds. No CSV shuffle. No stale data. Just clean actuals flowing into live models.
Nicolas Kopp, CEO and Founder of Rillet, said: "Legacy ERPs weren't built for AI, so we rebuilt the GL from the ground up. Pairing Rillet with Cube moves teams closer to the Zero-Day Close with instant actuals, instant insights, and no more busywork."
What you can do now
- Sync actuals from Rillet into Cube in real time
- Drill into transactions and metadata without leaving the planning environment
- Generate forecasts with AI, on demand
- Run automated variance analysis
- Use natural language to ask questions about performance and get instant answers
- Maintain a single, governed, audit-ready source of truth across systems
Practical use cases
- Close-to-plan: See daily actuals vs. plan by entity, department, and account; explain variances in minutes
- Headcount and OPEX: Push updated hiring and vendor data into rolling forecasts without manual rework
- Revenue and unit economics: Drill to invoice or contract detail to validate drivers behind growth or churn
- Board prep: Generate scenario-ready packs with live actuals and AI-generated narrative starters
Quick setup checklist
- Confirm GL structure and dimensions in Rillet map cleanly to Cube's models
- Define data refresh cadence (many teams start with continuous sync)
- Set role-based access controls and audit policies across both systems
- Align naming conventions for entities, departments, accounts, and custom dimensions
- Create governance rules for AI-generated forecasts and narrative explanations
- Pilot with one business unit, then expand once workflows are stable
KPIs to watch after go-live
- Days to close (target: toward same-day or "Zero-Day" where possible)
- Time to variance explanation by cost center and revenue stream
- Forecast refresh cycle time (from hours to minutes)
- Adoption: number of finance users querying data directly each week
- Reduction in manual exports and reconciliations
Availability
The Cube × Rillet integration is available starting today for joint customers.
About Rillet
Rillet is an AI-native accounting platform and full ERP replacement built for speed and scale. High-growth and IPO-minded companies use Rillet to run a smarter close with native integrations, automated journal entries, and AI-driven workflows. The company is backed by Sequoia, Andreessen Horowitz, and ICONIQ, with offices in New York, San Francisco, and Barcelona.
About Cube
Cube is a financial intelligence platform built for the AI era. It unifies data across systems and spreadsheets to accelerate planning and analysis while letting FP&A teams work inside Excel, Google Sheets, the web, or chat. The result: faster cycles, deeper insight, and better decisions.
Next step for finance leaders
If you're building AI fluency across your FP&A and accounting teams, explore practical resources on AI tools for finance here: AI tools for finance. For role-specific learning paths, see courses by job.
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