Businesses are rapidly adopting agentic AI, enhancing their ability to deliver value quickly through digital labor. According to the 2025 Connectivity Benchmark Report by MuleSoft and Deloitte Digital, 93% of IT leaders plan to implement autonomous AI agents in the next two years, with nearly half already on board. However, challenges like data silos and integration hinder AI’s effective use. The report reveals that many organizations struggle with the increasing number of applications, making unified experiences elusive. Despite these obstacles, IT budgets are expected to grow, reflecting the high demand for AI solutions. Automation strategies are essential for successful integration, with most organizations recognizing the need for improved data connectivity and streamlined processes.
Businesses are increasingly turning to agentic AI to improve efficiency and value across various sectors. A recent report indicates that 93% of IT leaders intend to deploy autonomous AI agents within the next two years, and nearly half have already implemented them. The 2025 Connectivity Benchmark Report by MuleSoft and Deloitte Digital highlights the growing trend of AI adoption, which is transforming the landscape of digital labor.
The report, based on interviews with over 1,000 IT leaders globally, uncovers significant insights:
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Integration Challenges: Most organizations use an overwhelming number of applications, averaging 897, complicating data integration. Only 29% of these apps are currently connected, which hampers IT teams’ efficiency.
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Rising Workloads: With the demand for AI integration on the rise, 86% of IT leaders expect their workload to increase significantly over the next year.
- User Experience: Despite the push for enterprise-wide automation, 66% of organizations still struggle to provide a seamless user experience across all channels.
The necessity for robust integration strategies to support the growing number of AI agents is more critical than ever. IT leaders recognize that without effective integration, AI lacks the data it needs to function optimally. Additionally, 81% of leaders face hurdles leveraging AI for system integrations, indicating an urgent need for modern solutions.
The report emphasizes that automation isn’t just a technical undertaking but a strategic one. Organizations that enable non-technical users with low-code or no-code solutions are likely to thrive in the digital landscape. As automation demand rises, 98% of IT leaders are looking to expand these capabilities within their organizations.
For those interested in the future of AI and IT integration, the full 2025 Connectivity Benchmark Report can provide invaluable insights into best practices and trends.
Primary Keyword: agentic AI
Secondary Keywords: IT leaders, integration challenges, user experience
FAQ about AI Agents Implementation in IT
What are AI agents in IT?
AI agents are computer programs that can perform tasks, make decisions, and solve problems on their own. They use artificial intelligence to understand data and help IT leaders improve services and efficiency.
Why are so many IT leaders choosing to use AI agents?
Many IT leaders see AI agents as a way to save time and reduce costs. They can handle repetitive tasks, analyze data quickly, and provide better customer support, which helps organizations work smarter.
How will AI agents impact the future of IT?
AI agents are expected to change the way IT departments operate. They will allow teams to focus on more complex tasks while the agents manage routine jobs. This shift can lead to increased productivity and innovation within organizations.
What industries can benefit from AI agents?
Almost every industry can benefit from AI agents, including finance, healthcare, retail, and manufacturing. Any field that relies on data analysis, customer interactions, or workflow management can use AI to improve processes and outcomes.
What should companies consider before implementing AI agents?
Before adding AI agents, companies should assess their specific needs, infrastructure, and budget. It’s essential to ensure the agents can integrate smoothly with existing systems and that staff are trained to work alongside them effectively.
