A recent survey by Tray.ai has revealed that a vast majority of enterprises, around 86%, are not adequately prepared to deploy autonomous AI agents, highlighting a significant need for technology stack upgrades. The study, involving over 1,000 technology leaders and practitioners, exposes that most organizations need to update their existing systems to effectively leverage the capabilities of AI agents. Integration complexities are a major hurdle, with a substantial 42% of enterprises needing access to eight or more data sources to successfully implement AI agents.
This lack of readiness is compounded by concerns surrounding data security, which is cited as a primary challenge by both leadership and practitioners. Despite the challenges, organizations are planning significant investments in AI agents, with 68% budgeting at least $500,000 annually. The survey also indicates that current integration platforms are not adequately equipped to meet AI's data demands, with almost half of respondents rating their existing integration platform as only "somewhat ready". This combination of a required tech overhaul, data integration complexity, and security concerns presents a major obstacle for enterprises aiming to capitalize on the potential of AI and its autonomous agents.