The growing influence of AI in enterprises is largely attributed to two interrelated factors: the emergence of AI agents and the widespread availability of AI tools. AI agents, which can perform tasks such as automating processes or assisting with inquiries, are enhancing response times and streamlining workflows. They enable tasks like interpreting claims, reviewing contracts, or addressing delivery queries to be completed in seconds and at larger scales.
Concurrently, advancements in usability are allowing non-technical staff to easily access and utilize AI tools. This trend is leading employees across various departments to experiment and adapt these technologies to meet their specific needs.
However, challenges persist. Issues related to privacy, security, and the accuracy of large language models (LLMs) remain significant concerns. Organizations are also facing challenges in managing costs, ensuring data quality, and developing sustainable AI systems. As enterprises look to future developments—including autonomous agents and specialized models—questions concerning trust, governance, and responsible use are becoming increasingly prominent.
Eddie Kim, a principal advisor at Amazon Web Services, emphasizes the necessity of leadership in crafting an AI strategy that balances potential benefits with inherent risks. He advocates for equipping the workforce with the skills needed to navigate and leverage these AI tools effectively.
Real-world examples demonstrate the transformative potential of AI in business. A global energy firm has reduced threat detection times from over an hour to just seven minutes, while a Fortune 100 legal team has automated contract reviews, resulting in significant cost savings. Additionally, humanitarian organizations are utilizing AI to enhance their response capabilities in crises.
The ongoing evolution of enterprise AI will depend on how well organizations can integrate innovation with considerations for scale, security, and strategic deployment.
Source: https://www.technologyreview.com/2025/10/15/1124329/future-proofing-business-capabilities-with-ai-technologies/