“The first half of 2025 has been a defining period for Auditoria,” Rohit Gupta, CEO and co-founder of Auditoria.AI, said in a press release.
The new AI agent, SmartResearch, is designed for financial planning and analysis (FP&A) and strategic finance teams, according to the release. SmartReach delivers natural language-driven financial analysis based on ERP, enterprise performance management (EPM) and FP&A data and commercial financial data providers’ intelligence.
“With SmartResearch, we’re giving finance teams the ability to move faster and think more strategically, unlocking insights that were previously out of reach,” Gupta said in the release.
During the first half of the year, Auditoria.AI also expanded its support to Oracle Cloud ERP and became a launch partner in Workday’s new AI Agent Partner Network, per the release.
Gupta said in the release that the company’s growing partnerships with Workday and Oracle “signal a broader shift toward AI-powered finance that’s already underway.”
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Auditoria.AI announced in February that it raised $38 million in a Series B funding round to accelerate its growth, develop new products and expand its global market reach.
At that time, the company’s agentic AI solutions included SmartCustomer for accounts receivable (AR) and SmartVendor for accounts payable (AP). Both solutions automate repetitive tasks, provide real-time financial insights, support more than 300 languages and currencies, and reach markets that collectively account for 80% of global GDP.
“The funding marks a significant milestone for Auditoria.AI as we continue to scale and deliver cutting-edge solutions to equip CFOs and finance teams with the most advanced AI-driven autonomous solutions, helping them drive efficiency, reduce risk and accelerate decision-making,” Gupta said in a Feb. 25 press release.
The PYMNTS Intelligence report “CFOs Eye Accounts Receivable as New Direction for AI Investments,” published in January, found that chief financial officers planned to boost their AI investment by nearly 10% this year.
According to the report, those who had seen a strong return on investment in generative AI said they were increasing their budgets by 19%, while those who saw marginal returns were planning a 6.2% increase.
