FinQore Unveils First Anthropic Claude Integration for CFOs

Trusted by CFOs at private equity-backed businesses, FinQore is advancing how finance harnesses reliable data and agentic AI to drive faster, smarter decisions.

FinQore, the trusted financial data platform for strategic CFOs and finance teams, announced a significant advancement to its AI-powered platform with the introduction of the first financial data connector for Claude. Building on the success of its AI Financial Analyst, this connector gives finance secure, real-time access to expert-validated, context-rich financial data inside Claude.

In addition, FinQore provides specialized tools that enable Claude to interpret complex business models, analyze financial metrics, and deliver deeper, more meaningful analysis.

With these capabilities, finance can ask AI questions in plain language, explore their financial data more deeply, and take action on insights directly within FinQore, enabling them to move faster, see further, and drive operational excellence with confidence.

The biggest barrier to AI adoption in finance isn’t technology — it’s data quality. The AFP FP&A Survey (2025) found that more than 60% of finance teams cite inaccessible or inconsistent data as their top barrier to analytics. The impact is clear: MIT’s State of AI in Business 2025 report found that 95% of enterprise AI pilots fail — often because model outputs are unreliable without consistent data and detailed business context. For AI to generate insights that CFOs can trust for high-stakes decisions and reporting, it needs access to a unified, context-rich data foundation.

“CFOs are often stuck in a frustrating middle ground,” said Vipul Shah, CEO & Co-Founder of FinQore. “When data sources conflict, definitions vary, and there’s no audit trail, finance can’t rely on AI-generated insights.”

A Trusted Data Foundation, Structured and Segmented for AI

Now, with FinQore’s Claude integration, built on the Model Context Protocol (MCP), finance teams gain secure access to continuously validated financial data — delivered and maintained on FinQore’s expert-powered financial data platform.

Unlike software-only tools that simply aggregate data, FinQore pairs in-house finance experts with a purpose-built platform that harmonizes data according to each company’s unique financial logic and actively resolves discrepancies. With full audit trails and override controls, finance teams gain the flexibility of a spreadsheet with the reliability of an enterprise-grade, AI-ready platform. The result: every analysis and action is powered by reconciled, deeply segmented, context-rich financial data.

“Now, CFOs can harness the power of Claude on data they truly trust,” said Shah. “Because FinQore is architected and optimized for AI-native workflows, even the most granular, high-volume financial data can be explored seamlessly and lightning-fast.”