AI Agents Reshape Business Amid Integration Challenges

AI agents are rapidly transforming business operations, with companies like Box expanding AI integrations through platforms such as Microsoft 365 Copilot and protocols like Google's Agent Development Kit and A2A enabling greater collaboration and interoperability. While these agents automate tasks such as document analysis and customer engagement, widespread adoption is hindered by data quality and infrastructure gaps. Industry experts stress the necessity of robust ROI measurement, human oversight, and strong governance to ensure responsible deployment. Surveys reveal that a minority of businesses feel prepared for autonomous AI decision-making, highlighting the need for improved data and real-time processing. Economic forecasts suggest AI agents could add trillions to global GDP by 2030, but achieving this potential requires aligning AI initiatives with business objectives and maintaining trust. Agility and effective oversight are seen as critical for successfully navigating the evolving AI agent landscape.