Datarails, a provider of FP&A software, has announced the release of FinanceOS, an AI-ready financial operating system. The company states that traditional FP&A software is no longer sufficient for modern finance teams, which require speed, flexibility, and integration with AI tools. FinanceOS is designed to consolidate financial and operational data, including critical controls such as audit trails, permissions, and governance, enabling finance teams to leverage advanced AI engines for various financial workflows.
FinanceOS allows companies to unify and govern their data, making it suitable for use with AI tools like Claude, ChatGPT, Microsoft Copilot, Gamma, Lovable, and Base44. This integration supports tasks such as generating financial reports, creating board presentations, deploying AR agents, running live forecasts and scenario analyses, automating month-end close processes, and orchestrating complex finance operations with accuracy and control.
Didi Gurfinkel, CEO and Co-Founder of Datarails, commented on the shift: “Intelligence is no longer the limit – infrastructure is. FinanceOS provides the operational layer that makes AI-driven finance reliable and scalable.” This operational layer aims to address significant barriers to AI adoption in finance.
According to Gartner’s AI in Finance Survey, AI adoption in finance has shown limited growth, moving from 58% in 2024 to 59% in 2025, with 91% reporting low impact from AI tools. Data quality and availability are frequently cited as obstacles. FinanceOS aims to resolve these issues by providing a consolidated, live, undisputed, and fully auditable data infrastructure that AI tools can build upon, maintaining audit trails, compliance, and governance that static data often lacks.
Mr. Gurfinkel further explained, “You no longer need traditional FP&A tools to build models or run analysis. AI engines like Claude in Excel can generate sophisticated financial models in seconds. But intelligence is no longer the limit – infrastructure is. Without a governed operating layer, those models cannot run on real-time, accurate, and fully auditable data in a secure, controlled environment. FinanceOS provides the operational layer that makes AI-driven finance reliable and scalable.”
FinanceOS is available to finance teams of any size through a flexible, usage-based pricing model and can be fully operational within a few business days. It is built on the same infrastructure used by Datarails’ existing FP&A, Cash Management, Month-End Close, and Spend Control products. Datarails intends to continue investing in and enhancing these core capabilities while providing ongoing training, design, and enablement for FinanceOS customers. Optional professional services are also offered for custom agent and workflow development.
The system can connect to over 400 data sources, including ERP, CRM, HRIS, payroll, and billing systems from providers such as NetSuite, SAP, Sage, Salesforce, HubSpot, and BambooHR. FinanceOS also securely integrates with leading AI tools including Claude, ChatGPT, Lovable, Cursor, Replit, Gamma, and Manus. Real-time data consolidation ensures updates are reflected within seconds, and role-based permissions, alongside compliance with SOC 2 and GDPR, offer enterprise-grade security and control.
Gurfinkel emphasized the benefits of an open approach: “A thriving open ecosystem will accelerate AI adoption in finance faster than any single vendor could achieve alone. Every time a team builds on top of their FinanceOS – whether that’s a pre-built platform, a vibe-coded solution, an open source template, or something that doesn’t exist yet – the more the industry moves forward.”
FinanceOS is currently publicly available, with immediate access and rapid implementation.
