Transforming Business AI in the Enterprise Examined in New Report

Hanoi:The Future Investment Initiative (FII) Institute has launched a new THINK report titled 'Transforming Business AI in the Enterprise,' which investigates how artificial intelligence is altering investment, business operations, and the future of work.

According to Saudi Press Agency, The report outlines the transition from AI experimentation to deployment, emphasizing how organizations can turn AI investments into gains in productivity, customer experience, and financial performance. It highlights key elements such as workflow redesign, workforce development, and responsible governance for achieving sustainable value.

Contributions from FII Institute partners like Brookfield, JD.com, and Visa provide insights into portfolio value creation, trusted payments, retail and logistics, and the integration of AI agents in enterprise systems. Despite the growing adoption of AI, scaling remains a challenge, with McKinsey research noting that 88% of organizations use AI in at least one business function, a rise from 78% in 2024. Furthermore, while 62% of these organizations are experimenting with AI agents, only 23% are scaling them in at least one function.

The report also points to an increase in enterprise AI spending, with IDC estimating global spending to reach $400 billion by 2026, highlighting the necessity of linking investments to operational outcomes. Security and trust are central to AI adoption, with Deloitte research indicating that 73% of respondents see data privacy and security as major concerns, alongside legal, intellectual property, or regulatory compliance issues affecting 50%.

Investment execution is a priority for investors, as illustrated by Brookfield, which has identified over 800 AI use cases in various stages of execution and has established an AI Value Creation Office with more than 30 professionals. JD.com reports utilizing AI across over 3,000 scenarios in sectors like retail, logistics, healthcare, and industrial supply chains.

Visa has several hundred AI models in production, supporting over 100 products across the payments ecosystem, underscoring the necessity for spending limits, approval thresholds, and clear permissions as AI agents undertake purchasing tasks. The report emphasizes the need for accountability, human oversight, and measurable business results as AI agents advance from answering questions to executing defined workflows, and it discusses how infrastructure decisions influence the cost, control, and resilience of enterprise AI.