“FP&A Software is Dead” Leading FP&A Software Provider Datarails Declares, Introducing the Finance Operating System for the AI Era

Signaling a major industry shift, leading FP&A software provider Datarails has declared that traditional FP&A software is dead, as AI-era finance teams increasingly demand speed, flexibility and the ability to leverage modern AI tools – something closed enterprise software was never designed to provide. Datarails has released FinanceOS, an AI-ready financial operating system that enables companies to consolidate and collect all of their financial and operational data in one place, including critical controls CFOs rely on – like audit trails, permissions, and governance. Then – assured that their numbers are unified, real-time, and fully governed – finance teams of any size can harness the world’s most advanced AI engines and agents, including Claude, ChatGPT, Microsoft Copilot, Gamma, Lovable, and Base44, to execute virtually unlimited financial workflows. This could include financial reports, generating board-ready presentations, deploying AR agents, running live forecasts and scenario analysis, automating month-end close processes, and orchestrating complex finance operations with accuracy and control.

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“Intelligence is no longer the limit – infrastructure is. FinanceOS provides the operational layer that makes AI-driven finance reliable and scalable,” said Didi Gurfinkel, CEO and Co-Founder of Datarails.

This operational layer, the ongoing connection between the database and its outputs, addresses one of the biggest barriers to AI adoption in finance. According to Gartner’s AI in Finance Survey, AI adoption in the finance function has flatlined – moving just one point, from 58% in 2024 to 59% in 2025 while 91% report low impact from using AI tools – with data quality and availability cited as the most common obstacles. CFOs can throw data into any AI tool of their choice, yet that data loses all audit trails, compliance, governance and other critical information. The data is also static, meaning that the outputs created with AI tools are only as reliable and up-to-date as the data they were fed. The operating system solves these issues, providing consolidated, live, undisputed and fully auditable data infrastructure they can use AI to build upon.

“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,” said Didi Gurfinkel, CEO and Co-Founder of Datarails. “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.”

Available to finance teams of any size through a flexible, usage-based pricing model, Datarails FinanceOS can be fully operational within a few business days. It is built on the same proven infrastructure that powers Datarails’ FP&A, Cash Management, Month-End Close, and Spend Control products – solutions trusted by thousands of companies worldwide – and Datarails remains deeply committed to continuing to invest in and enhance these core capabilities.

Datarails will partner closely with customers of FinanceOS, providing ongoing training, design, enablement, and access to the latest AI advancements. In addition, Datarails offers optional professional services to design and develop custom agents and workflows tailored to each organization’s needs – ensuring finance teams can adopt AI safely, confidently, and at their own pace.

Using FinanceOS, finance teams can connect to over 400 data sources – including ERP, CRM, HRIS, payroll, and billing systems, from NetSuite, SAP, and Sage to Salesforce, HubSpot, BambooHR, and industry-specific specialist platforms. FinanceOS securely connects to Claude, ChatGPT, Lovable, Cursor, Replit, Gamma, Manus, and other leading AI tools. Real-time consolidation ensures data is refreshed across the environment within seconds of updates, while role-based permissions and compliance with SOC 2, and GDPR, provide enterprise-grade security, governance, and control.

“A thriving open ecosystem will accelerate AI adoption in finance faster than any single vendor could achieve alone,” said Gurfinkel. “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.”