How AI-Native ERP Startups Are Killing the Per-Seat and Implementation Fee Models
As legacy Enterprise Resource Planning (ERP) giants face a structural threat from AI-native alternatives, a quiet revolution is happening in how software is priced and deployed. Traditional ERPs like Oracle NetSuite and SAP have long relied on two highly lucrative revenue streams: per-seat software licensing and heavy professional services/implementation fees (which often cost 1x to 3x the software license and take months or years).
AI-native ERP startups like DualEntry, Rillet, and Campfire are aggressively dismantling this playbook by offering flat-rate or entity-based pricing with unlimited seats, combined with $0 implementation fees.
1. DualEntry: Entity-Based Tiers & $0 Implementation
DualEntry, which raised a $90 million Series A led by Lightspeed and Khosla Ventures in October 2025 (valuing it at $415 million), has structured its pricing entirely around corporate complexity (number of international entities) rather than headcount.
- Unlimited Users & Transactions: All of DualEntry's tiers (DualEntry, DualEntry Plus, and DualEntry Ultra) include unlimited seats and unlimited transactions out of the box.
- $0 Implementation Fees: DualEntry provides full setup and onboarding at no additional cost. The company explicitly targets legacy consulting-heavy models:
"Do I have to pay for implementation? No. Implementation is included in all plans. We don’t believe in charging by the hour and making money through implementation—we’re as eager to get you to success as you are." — DualEntry Plans & Pricing FAQ
2. Rillet: Feature & Complexity Pricing with "Unlimited Users"
Rillet, which is backed by $108.5 million in funding from Sequoia, a16z, and ICONIQ and serves roughly 200 customers, similarly rejects the seat-licensing model.
- Billed Per Business, Not Per Seat: Rillet charges a custom rate based on the customer's size, transaction volume, and features.
- Unlimited Collaboration: Rillet includes unlimited seats for internal teams, external advisors, and third-party auditors at no extra cost. This allows scaling startups to add users freely without facing a financial penalty for headcount growth.
3. Campfire: Module-Based Pricing & Rapid Enterprise Migration
Campfire, which raised a $65 million Series B co-led by Accel and Ribbit Capital in October 2025 (totaling $100 million in 12 weeks), prices its platform based on modules (Core Accounting vs. Revenue Automation) rather than individual seats. Campfire has achieved a 10x YTD revenue growth by winning mid-market and enterprise customers (such as PostHog, Decagon, Replit, and LimaOne) directly from NetSuite and SAP. Campfire leverages its proprietary Large Accounting Model (LAM) to automate reconciliations and close books 5x faster, eliminating the manual labor that traditional ERPs require.
The Legacy Counter-Offensive: NetSuite's Defensive Playbook
Oracle NetSuite has taken notice, publishing targeted competitive battle cards directly addressing Rillet and other "AI-native newcomers." NetSuite’s defense centers on two arguments:
- Auditability and Rules vs. AI Validation: NetSuite argues that Rillet's AI-native approach is a compliance risk because finance teams must "validate" AI-generated decisions rather than enforcing explicit, auditable accounting rules:
"Rillet’s AI reliance exacts a trade-off: Finance teams cannot define the rules, they can only validate the system’s choices. For straightforward subscription accounting this may work well; for more complex scenarios, teams should understand how the AI arrives at its treatments and whether its logic is auditable." — NetSuite vs. Rillet Comparison Card
- Pricing Sustainability: NetSuite claims that the low, flat-rate, seat-free pricing of AI startups is an unsustainable marketing gimmick subsidized by venture capital, warning buyers of future price hikes:
"One consideration for any venture capital-backed platform is that early-stage pricing may reflect investor subsidies rather than sustainable unit economics. As AI-native platforms scale, the compute costs behind their automation will need to be covered. Finance leaders evaluating AI-native startups will want to understand how their pricing is expected to evolve as the business matures." — NetSuite vs. Rillet Comparison Card
The Broader Shift: Outcome-Based Pricing (Example: Intercom Fin)
The transition away from seat-based pricing is being validated in other enterprise software sectors through outcome-based pricing. A prime example is Intercom's Fin AI Agent, which recently neared $100 million in ARR by charging an outcome-based rate of $0.99 per successful resolution rather than a per-seat license.1 Intercom even backed this with a $1 million performance guarantee to absorb buyer risk:
"Outcome-based pricing is a good forcing function. Charging $0.99 per resolved issue exposed every weak link. Sales could no longer optimize for licenses, CS could no longer hide behind usage, revops had to forecast outcomes... The $0.99 price gets attention, but it’s the $1M performance guarantee that builds trust." — Archana Agrawal, President at Intercom, GTMnow Interview
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An instance of AI is turning software companies into heavy utility businesses — Intercom charges customers $0.99 only when its AI agent successfully resolves a customer support issue. This actively replaces the model of registering individual human logins with a model that bills for completed tasks. ↩︎