SliceCFO provides a conversational AI assistant that connects directly to accounting, payment, and expense platforms like QuickBooks, Stripe, and Ramp to automatically ingest ledger data and compute real‑time financial metrics such as runway, burn rate, and unit economics. Users can query the AI in natural language for instant insights and scenario analysis, with every figure traced back to its source and no subscription fees.
Funding
Funding not disclosed
Founders
Product
Problem
Early-stage founders often spend hours manually exporting data from accounting, payment, and expense tools, then stitching it together in spreadsheets that are error‑prone and quickly become outdated. This “coordination tax” prevents real‑time visibility into cash runway, burn rate, and unit economics, making strategic decisions slow and risky.
Solution
SliceCFO pairs founders with Cai, a finance‑first conversational AI that connects directly to systems such as QuickBooks, Stripe, and Ramp. Cai ingests the raw ledger data, runs deterministic calculations in code, and continuously updates key financial metrics without manual intervention. Because every number is traced to its source, the AI can answer queries like “What’s our runway?” instantly and with confidence. Beyond finance, Cai expands the context to other business dimensions—operations, product, and strategy—so founders can see how a hiring decision or a pipeline slip will ripple through cash flow and fundraising plans, all through a single chat interface.
Target Audience
Founders, CEOs, and finance leaders of early‑stage B2B SaaS companies who rely on spreadsheets for FP&A and need real‑time, trustworthy financial intelligence.
Features
- Automatic integration with accounting, payment, and expense platforms (e.g., QuickBooks, Stripe, Ramp) to pull source data in real time
- Deterministic, code‑based calculations that verify every metric (runway, burn, unit economics) against the underlying ledger
- Conversational interface that retains historical context, allowing compound queries and scenario modeling
- Cross‑functional impact analysis that updates financial forecasts when operational events (e.g., hiring, vendor changes) occur
- Built‑in guardrails that detect data drift and prevent hallucinated numbers
- Ownership of API keys and output data remains with the user; no third‑party data lock‑in
- Multi‑model AI architecture (“three brains”) that combines frontier language models for robust reasoning