{"id":84384,"date":"2025-01-29T05:00:00","date_gmt":"2025-01-29T13:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=84384"},"modified":"2025-07-29T10:55:00","modified_gmt":"2025-07-29T17:55:00","slug":"connectivity-report-announcement-2025","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/connectivity-report-announcement-2025\/","title":{"rendered":"Integration Key as 93% of IT Leaders Turn to AI Agents Amid Soaring Resource Demands \u2013 New Research"},"content":{"rendered":"\n

Integration is crucial for creating a limitless digital workforce of interoperable agents, as 80% of businesses cite data integration as a major challenge for AI adoption<\/em><\/p>\n\n\n\n

\n\n\n\n

As IT resource demands spike, new research finds that 93% of enterprise IT leaders have implemented or plan to implement AI agents<\/a> in the next two years. However, integration challenges hinder companies from fully realizing the technology\u2019s potential to create a limitless digital workforce, which can significantly alleviate IT workloads. <\/p>\n\n\n\n

The findings, gleaned from a survey of 1,050 enterprise IT leaders, reveal that 95% of respondents struggle to integrate data across systems. Moreover, only 29% of applications are typically connected within organizations, on average, impacting the accuracy and usefulness of AI agents. <\/p>\n\n\n

\n\t<\/tableau-viz>\n<\/div>\n\n\n\n

Why it matters:<\/strong> AI agent outputs depend on connected data that enables a comprehensive understanding of the context and nuances within user queries. These agents gather structured and unstructured data from diverse sources, including CRM<\/a>, ERP<\/a>, and HCM, as well as email, PDFs, Slack, and more, and use it to make decisions and take action for any business process. By integrating their data, systems, and applications, organizations can tap into a limitless, AI-powered digital labor force that can act autonomously across their business to successfully carry out both simple and complex tasks. <\/p>\n\n\n\n

One such example is Adecco:<\/strong> Adecco Group<\/a> is a leading talent company that’s reimagining recruiting and support for job applicants with Salesforce\u2019s Agentforce<\/a>. The organization is harnessing MuleSoft<\/a> and Data Cloud<\/a> to centralize data across over 40 systems, enabling recruiters to use Agentforce to drive faster job placements and personalize service at scale while boosting efficiency and accelerating decision-making.<\/p>\n\n\n\n

\n

The organization is harnessing MuleSoft and Data Cloud to centralize data across over 40 systems, enabling recruiters to use Agentforce to drive faster job placements and personalize service at scale while boosting efficiency and accelerating decision-making.<\/p>\n<\/blockquote>\n\n\n\n

Key findings from MuleSoft\u2019s 10th annual Connectivity Benchmark Report:<\/strong><\/h2>\n\n\n\n

Increased IT demand opens the door for AI agents to improve efficiency, lower cost<\/strong><\/h4>\n\n\n\n

IT teams already responsible for maintaining current systems are struggling to meet new demand for AI solutions<\/a>.<\/p>\n\n\n\n