Adopting AI for corporate cash flow management allows businesses to ditch manual spreadsheets in favor of automated data pipelines.
Corporate financial services face pressure from market volatility, regulatory requirements and the demands of digital finance. Ashish Kumar, head of Infosys Oracle Sales for North America, and CM Grover, CEO of IBS FinTechrecently discussed the realities of corporate cash flow.
IBS FinTech has been in business for 19 years and currently ranks among the top five in the world according to an IDC report. Grover notes that while AI-driven automation has reached many areas of business life, treasury departments still often rely on manual spreadsheets.
“IBS FinTech identified a gap within the corporate CFO’s office, where they manage their most critical information system, which is cash management on Excel,” Grover said.
Treasury teams manage cash, liquidity and risks. Businesses face foreign exchange risk from imports and exports, as well as commodity risks. Cash surplus businesses also need to invest in operations to generate returns.
The main problem for many businesses is the lack of connection to real-time data. Teams often execute trades on platforms like Bloomberg, Reuters, or 360D, manually enter data into spreadsheets, and then record the accounting entries into an enterprise resource planning system.
Successfully Implementing AI in Corporate Cash Management
Implementing AI in finance depends on solving these manual bottlenecks. Business leaders often view technology as a quick fix, but it requires digitized and automated data as its foundation.
“You can’t make AI in treasury by talking,” Grover said. “You need to create this underlying data set that needs to be digitized and automated. »
Integrating cash management systems with existing enterprise resource planning platforms allows businesses to establish this database. IBS FinTech built its backend on Oracle databases from its inception and now integrates with Oracle Cloud, NetSuite and Fusion.
A connected ecosystem requires the treasury management system to communicate directly with the ERP platform, trading platforms and banks. This integration provides leaders with accurate information to manage liquidity, mitigate risk, and monitor compliance violations across the system.
Grover expects global volatility to increase due to geopolitical and economic factors impacting commodities, stocks and foreign exchange. Leaders must prioritize automation and real-time information systems to operate in this uncertain environment.
Kumar highlighted that modernizing treasury management through AI and connecting it to enterprise resource planning systems builds financial resilience. Business leaders should audit their existing data flows. If a finance team relies on manual input between a trading platform and an enterprise resource planning platform, AI initiatives will fail due to poor data quality.
Implementing direct integrations ensures error-free, real-time data feeds, providing the necessary foundation for future technology deployment.
See also: DBS is piloting a system that allows AI agents to make payments for customers
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