Businesses are increasingly adopting agentic AI to enhance value delivery quickly by utilizing digital labor across various sectors. The 2025 Connectivity Benchmark Report by MuleSoft and Deloitte Digital indicates that 93% of IT leaders plan to implement autonomous AI agents in the next two years, with nearly half already having done so. Key findings from the report, based on interviews with 1, 050 IT leaders, reveal: 1. **Siloed Data**: Respondents use an average of 897 applications, with 45% utilizing over 1, 000, creating challenges for unified experiences. Just 29% of enterprise apps are integrated. 2. **Increasing IT Workload**: 86% of leaders expect higher workloads, with an 18% increase in projects anticipated. Despite this, 70% also oversee enterprise-wide automation. 3. **User Experience Challenges**: Although automation is growing, 66% of respondents lack a cohesive user experience across channels. Integration issues are major barriers to effective AI adoption, with 95% of leaders citing integration as a challenge. 4.

**Budget Trends**: 85% of IT decision-makers expect budget increases in 2025, with significant funding focused on data infrastructure (25% of budgets) compared to AI (5%). 5. **AI Integration Obstacles**: 83% of organizations identify disconnected data as a key blocker in modernization efforts. Only 2% of IT leaders feel that over half of their applications are integrated. 6. **Need for Robust Integration**: A surge in applications (average of 897 per organization) and a largely digital customer interaction landscape heighten the imperative for integration. 7. **Mobility and Innovation**: Data mobility poses major integration challenges, and outdated IT infrastructure complicates AI implementation, with 41% of leaders concerned about legacy systems. 8. **Automation Strategies**: Central IT teams govern 70% of automation efforts, and 65% of organizations are empowering non-technical users through low-code/no-code solutions. This report emphasizes the urgent demand for integrated systems that can leverage AI effectively while managing increasing workloads and disconnected data. For further details, the complete report is available at MuleSoft and Deloitte Digital.