AI-native ERP: what $300M of funding buys, and what it doesn't yet

In roughly eighteen months, a new category raised over $300M: Rillet ($100M+ from Andreessen Horowitz, ICONIQ, and Sequoia), Campfire (~$100M), DualEntry ($90M Series A), and Light ($30M from Balderton). All make the same bet — that an ERP designed around AI from day one beats a 20-year-old platform with AI features bolted on.

The pitch lands because the pain is real: month-end close is still largely manual reconciliation, revenue recognition still eats analyst hours, and the traditional fix is hiring.

What's genuinely different

These aren't chatbots on top of a ledger. The AI-native platforms automate transaction categorization, bank reconciliation, revenue schedules, and multi-entity consolidation as core architecture — the AI does the work and the accountant reviews exceptions. Customers report closes measured in days instead of weeks, run by teams half the traditional size. Implementations run weeks, not the quarters a legacy mid-market ERP demands.

What the funding hasn't bought yet

• —Operations: no inventory, manufacturing, or field service — these are finance platforms
• —Fund accounting: no AI-native platform serves nonprofits' restricted-fund requirements yet
• —Track record: auditors, banks, and boards know NetSuite and Intacct; a 3-year-old system requires more explaining
• —Ecosystem: no partner channel for implementation rescue, few pre-built vertical extensions
• —Vendor risk: venture-funded startups can reprice, pivot, or be acquired — your GL is a 10-year decision

Who should switch, who should wait

Switch: software and services companies outgrowing QuickBooks whose bottleneck is the close, with tolerance for a young vendor in exchange for speed and automation. This crowd was going to buy NetSuite or Intacct reluctantly; the AI-natives were built precisely for them.

Wait: anyone with inventory or a shop floor, nonprofits (no fund accounting yet), and organizations whose auditor relationships or debt covenants make system conservatism worth paying for. The incumbents are shipping AI features every quarter — the gap narrows from both directions.