- 96% of European companies have or use AI agents
- Users of AI agents are more likely to be optimistic than non -users
- Data silos and deficient data integration in all systems are a primary obstacle
Artificial intelligence has become so deeply rooted in our lives now that companies seek to take things further by adopting even more AI agents in the coming months and years, according to the investigation.
The new MuleSoft data show that almost all European companies (96%) have implemented or implementing AI agents, defined as partially autonomous AI tools that can perform tasks, make decisions and interact with users, by 2026.
The news occurs when companies expect workloads to increase by 18% between 2024 and 2025, with AI agents who promise to offer tangible efficiency benefits.
The era of AI agent is over us
More than nine in 10 (93%) IT leaders believe that AI will increase developer’s productivity, but that number is even higher (98%) among AI agents users, indicating that support agents have Provided so far and Roi’s leaders feel that they feel they feel they feel ‘click on technology.
“Unlocking this new capacity, integration and API are fundamental to build a base ready for agents. Agents depend on unified data and business actions, driven by integration and automation, to provide precise and reliable responses and perform complex and several steps tasks, “Mulasesoft SVP and GM Andrew Comstock said.
As competent as they are, the adoption of the AI agent still comes with their challenges. More than two thirds (69%) of European companies cite data integration as a large challenger for the adoption of AI, and 94% of survey respondents fight to integrate data into all systems. In addition, only one in three (32%) applications are generally connected, which makes IA agents ineffective in many cases.
Ninety percent of companies agreed that data silos create commercial challenges, but those trying to use AI agents agreed more (94%).
It is clear, then, that a solid database is required that is ready for AI agents before companies even consider developing their AI strategies.
