How AI is Transforming Enterprise Treasury Management in 2026

The adoption of AI for enterprise treasury management enables businesses to abandon manual spreadsheets for automated data pipelines, transforming how organizations handle financial operations in an increasingly complex market environment.

The Current State of Corporate Treasury Management

Corporate finance departments face mounting pressure from market volatility, regulatory demands, and digital finance requirements. Ashish Kumar, head of Infosys Oracle Sales for North America, and CM Grover, CEO of IBS FinTech, recently discussed the realities facing corporate treasuries in today's dynamic business landscape.

IBS FinTech has operated for 19 years and currently ranks in the top five globally according to an IDC report. Grover notes that while AI-powered automation has reached many areas of corporate life, treasury departments often still rely on outdated manual spreadsheets.

"IBS FinTech has identified the gap in the CFO's office in corporations where they are managing their most critical information system, that is, treasury management on Excel," Grover said.

Key Challenges in Traditional Treasury Operations

Treasury teams manage cash, liquidity, and risk across multiple dimensions. Companies face foreign currency risk through imports and exports, alongside related commodity risks. Cash surplus companies also need to invest in operations strategically to generate optimal returns.

The key problem for many enterprises is a lack of real-time data connection. Teams often execute trades on platforms like Bloomberg, Reuters, or 360D, manually enter the data into spreadsheets, and then post accounting entries into an enterprise resource planning (ERP) system—a process that introduces errors and delays.

Successfully Implementing AI in Enterprise Treasury Management

AI implementations in finance depend on resolving these manual bottlenecks. Enterprise leaders often view the technology as a fast solution, but the technology requires digitized and automated data as a foundation.

"It is not by talking you can do AI in treasury," Grover said. "You have to create that underlying data set that has to be digitized and automated."

Building the Data Foundation

Integrating treasury management systems (TMS) with existing enterprise resource planning platforms allows companies to establish this critical data foundation. IBS FinTech built its backend on Oracle databases from its inception and now integrates seamlessly with Oracle Cloud, NetSuite, and Fusion.

A connected ecosystem requires the treasury management system to communicate directly with:

• Enterprise resource planning platforms
• Trading platforms
• Banking systems

This integration provides executives with accurate, real-time information to manage liquidity, mitigate risk, and monitor compliance violations across the entire system.

Preparing for Increased Global Volatility

Grover expects global volatility to increase due to geopolitical and economic factors impacting commodities, equities, and foreign exchange markets. Executives must prioritize automation and real-time information systems to operate effectively in this uncertain environment.

Kumar noted that modernizing treasury management with AI and connecting it to enterprise resource planning systems builds financial resilience and competitive advantage.

Action Steps for Enterprise Leaders

Enterprise leaders should audit their existing data workflows as a first step. If a finance team relies on manual entry between a trading platform and an enterprise resource planning platform, AI initiatives will fail due to poor data quality and inconsistent information flow.

Implementing direct integrations ensures data flows in real time without error, providing the necessary baseline for future technology deployment and enabling organizations to fully leverage AI capabilities in treasury management.

By establishing automated data pipelines and eliminating manual processes, companies can position themselves to respond quickly to market changes, optimize cash management, and maintain compliance in an increasingly complex regulatory environment.