The enterprise resource planning market is entering a new phase as AI moves from an assistant layered onto finance software toward systems capable of executing financial workflows themselves. Rillet is betting that shift can support a new category of ERP, raising $100 million in Series C funding at a $1 billion valuation to build what it calls an AI-native, agentic operating layer for finance teams.
Rillet has raised $100 million in a Series C round led by ICONIQ, bringing the AI-native ERP startup’s valuation to $1 billion and its total funding to more than $200 million. Sequoia, Andreessen Horowitz, Sequoia Global Equities, Bain Capital Ventures, Oak HC/FT, Battery Ventures, FirstMark, Scale Venture Partners and Creandum also participated.
The financing is notable not simply because Rillet has reached unicorn status, but because of what investors are backing: an attempt to redesign the enterprise resource planning system around AI agents rather than retrofit AI onto an existing ERP architecture.
Rillet says it now serves more than 600 customers and doubled new annual recurring revenue over the past three months. The company says its customer base includes public companies and rapidly growing AI businesses, while its expansion is moving beyond technology into biotech, healthcare, fintech, logistics and professional services.
That puts Rillet in direct competition with the established ERP ecosystem, including Oracle Fusion Cloud ERP, SAP, Workday, Microsoft Dynamics and NetSuite. The startup’s pitch is that these platforms were primarily designed to record and manage financial transactions, while much of the actual work of finance still happens in spreadsheets, workflow applications and specialized tools.
Rillet wants the ERP itself to become the environment where that work is performed.
Its architecture centers on a real-time general ledger connected to native integrations. AI agents can operate against the financial data inside the ledger, while employees retain approval authority and oversight. The company says every action is recorded through an audit trail and governed by the same accounting policies and controls used by human finance professionals.
In practical terms, the proposition is different from simply adding a chatbot to an ERP. An AI assistant might explain a financial report or answer a question about accounts receivable. An agentic finance system is intended to take action: reconcile transactions, identify exceptions, prepare accounting work and potentially execute parts of the close process under defined controls.
That distinction is becoming increasingly important across enterprise finance software.
Gartner predicts that finance organizations using cloud ERP applications with embedded AI assistants could achieve a 30% faster financial close by 2028. The research firm also expects 62% of cloud ERP spending to go toward AI-enabled solutions by 2027, compared with 14% in 2024.
The incumbent vendors are moving in the same direction. Gartner’s current cloud ERP finance landscape includes Oracle, SAP, Microsoft, Workday and other established providers, with AI, automation and composable architecture increasingly shaping competition.
Rillet’s challenge is therefore not merely proving that AI can automate accounting tasks. It must convince CFOs that a relatively young vendor can become a trusted financial system of record—or, as Rillet describes it, a system of context and execution.
That is a much higher bar.
Financial data sits at the center of tax reporting, compliance, audits, investor reporting, cash management and strategic planning. An AI agent operating directly inside the general ledger therefore has considerably more consequential permissions than an employee-facing productivity assistant.
Rillet’s emphasis on human approval and auditability addresses part of that concern. The company is also building relationships with the accounting profession, including an alliance with Ernst & Young and partnerships with more than half of the firms on Accounting Today’s top 20 CPA list, according to Rillet.
The company’s customer claims offer another indication of the thesis. Rillet cites Mercor as a customer using its AI agents alongside a three-person finance team while scaling beyond $2 billion in annual recurring revenue. That example is difficult to generalize across enterprises, but it illustrates the economic argument behind agentic finance: companies may be able to support substantially larger operations without increasing finance headcount at the same rate.
The broader market is already moving toward this model. McKinsey describes agentic AI as systems capable of independently pursuing goals, making decisions and taking actions with limited human input, with potential finance applications including accounting close and complex reporting.
Gartner similarly argues that agentic AI in finance can detect discrepancies, match transactions, standardize entries and transform data for analysis across ERP and other financial environments.
For finance leaders, that creates a strategic question: should AI be layered onto the existing ERP stack, or should the ERP itself be replaced by an architecture designed around AI-enabled workflows?
Rillet is clearly pursuing the second option.
Its $1 billion valuation suggests investors see a meaningful opportunity in that transition. But replacing core ERP infrastructure is substantially harder than deploying an AI application. Finance teams need multi-entity support, integrations, controls, security, auditability, reporting and reliable data migration. They also need confidence that an agent will behave predictably when the financial consequences of an error can extend well beyond a single workflow.
That creates an opening for both startups and incumbents. Oracle, SAP, Microsoft and Workday have enormous installed bases and years of financial infrastructure experience. Rillet, by contrast, can design its architecture around AI from the beginning rather than accommodating it within decades-old software assumptions.
The competition will ultimately be decided by more than the quality of an AI agent. It will come down to data architecture, controls, integrations, accuracy, explainability and whether finance professionals are willing to let software move from recommending actions to executing them.
Rillet’s funding round is therefore a signal about where ERP software may be heading. The next generation of finance platforms may not simply tell CFOs what happened at month-end. They could continuously interpret financial activity, execute routine work and surface exceptions while keeping humans responsible for the decisions that matter most.
If that model scales, the ERP could evolve from a passive system of record into an active operating layer for the finance function.
Market Landscape
The ERP market is undergoing a structural transition as cloud platforms incorporate machine learning, generative AI and agentic automation. Gartner identifies intelligent process automation, AI trust and risk management, adaptive analytics and AI-driven planning as major themes shaping cloud ERP finance applications.
The market is also splitting into two approaches. Established providers such as Oracle, SAP, Microsoft and Workday are embedding AI into large, mature enterprise platforms. Newer companies such as Rillet are attempting to make AI and automation foundational to the architecture itself.
That distinction could become important as enterprises replace legacy ERP systems. A finance team choosing between an established cloud ERP and an AI-native platform is no longer evaluating only accounting functionality. It is evaluating how much of the finance operating model can eventually be automated.
Gartner’s 2026 research indicates that cloud ERP remains central to finance technology investment, but warns that AI value depends on integration, data quality, governance and organizational readiness.
For enterprise buyers, the emerging benchmark is therefore likely to be controlled autonomy: how much financial work can agents perform independently while maintaining appropriate human oversight, audit trails and compliance controls.
Top Insights
- Rillet’s $100 million Series C values the AI-native ERP startup at $1 billion, signaling investor confidence in agentic automation for enterprise finance teams.
- The platform puts AI agents directly inside a real-time general ledger, allowing finance teams to automate workflows while retaining approvals, controls and auditability.
- Rillet is expanding beyond technology companies into fintech, healthcare, biotech and logistics, putting its ERP against established platforms from Oracle, SAP, Microsoft and Workday.
- Gartner expects AI-enabled cloud ERP adoption to accelerate sharply, making embedded AI, autonomous workflows and financial controls increasingly important to CFO technology decisions.
- The key enterprise challenge is controlled autonomy: finance leaders must balance agent productivity with accounting accuracy, governance, security, compliance and human accountability.
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