Indian CFOs plan bigger AI spend on finance & procurement

Indian corporate finance leaders are planning to increase investment in artificial intelligence across finance and procurement, according to a report by Procol and Kearney. The study found that 92% of Chief Financial Officers intend to raise AI spending.

The report, titled From Cost Centre to Strategic Value: Why CFOs must rethink procurement, governance, and ROI in the age of agentic AI, argues that finance teams are moving away from fragmented systems towards integrated platforms that support automation, oversight and faster operational decisions.

Organisations using AI in finance and procurement reported accounts payable processing that was 80% faster and requisition processing that was 50% faster. Due diligence checks also reached 100% completion under automated governance processes designed to strengthen compliance and reduce the risk of penalties.

Procurement emerged as a central part of the shift. Companies are using data from internal spending records and external market sources to shorten sourcing cycles by 40% to 70%, while AI-led pricing analysis and contract oversight generated additional cost savings of 8% to 12%.

Autonomous procurement models also cut procurement cycle times by 40% to 70%. The report says these systems reduce manual work and allow teams to spend more time on higher-value tasks tied to planning, supplier decisions and financial control.

Changing role

The findings point to a broader change in how Chief Financial Officers see their role within large organisations. Rather than focusing mainly on budget control and back-office efficiency, finance leaders are seeking a larger role in shaping operating models, governance standards and returns from technology spending.

That shift is closely tied to procurement, which is often treated as an administrative function despite its direct influence on spending, supplier risk and cash flow. Linking procurement data more closely with finance systems can give companies a clearer view of purchasing patterns, contract compliance and working capital.

The report presents AI as a tool for tightening process discipline as much as for speeding up transactions. In this view, automation is not simply about replacing manual work. It is also about creating more consistent checks, reducing leakage in contracts and approvals, and giving senior finance executives better visibility across the spending cycle.

Operational focus

The emphasis on measurable outcomes runs through the report's headline figures. Faster invoice handling can improve payment visibility and cash conversion cycles, while shorter sourcing and requisition timelines can reduce delays in internal purchasing. For companies with large supplier networks, those changes can directly affect operating costs and responsiveness.

The study also reflects a broader push by Indian companies to use AI in core business functions rather than limiting it to pilot projects. Finance and procurement are among the areas where process standardisation, large volumes of structured data and repeated workflows make automation easier to apply and measure.

Procol describes itself as an AI-based procurement platform focused on source-to-pay processes. Kearney is a management consulting firm with operations in more than 40 countries, working across strategy, operations and transformation projects, including digital procurement and cost management.

The report says organisations are replacing emails, spreadsheets and disconnected tools with unified systems designed to provide a single view from purchase requests through to payment. In practice, this allows finance and procurement teams to track approvals, suppliers, contracts and transactions in one environment rather than across separate systems.

For Chief Financial Officers, the appeal appears to lie in a combination of speed, control and demonstrable returns. The findings suggest AI investment is being justified not only through labour savings, but also through tighter governance, stronger audit readiness and more reliable execution of policy checks.

These priorities come at a time when companies face continued pressure to improve efficiency without adding headcount. The study found that AI-supported sourcing allows teams to handle more events without increasing staff numbers, which may help explain why procurement has become a more prominent area for finance-led technology investment.

The report's central message is that AI is moving into the core of financial and operational management. Its data suggests that for many Indian finance leaders, the technology is now treated less as a support tool and more as a routine part of managing spending, compliance and procurement performance.