{"id":51318,"date":"2025-10-28T15:17:43","date_gmt":"2025-10-28T15:17:43","guid":{"rendered":"https:\/\/www.intelligentcio.com\/north-america\/?p=51318"},"modified":"2025-10-28T15:17:43","modified_gmt":"2025-10-28T15:17:43","slug":"zapier-survey-finds-four-in-five-enterprises-struggling-to-integrate-ai-with-legacy-systems","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/north-america\/2025\/10\/28\/zapier-survey-finds-four-in-five-enterprises-struggling-to-integrate-ai-with-legacy-systems\/","title":{"rendered":"Zapier survey finds four in five enterprises struggling to integrate AI with legacy systems"},"content":{"rendered":"\n

Zapier\u2019s latest survey shows four in five enterprises are struggling to integrate AI with legacy systems, despite strong enthusiasm for AI adoption.<\/em><\/p>\n\n\n\n

Zapier has released the findings from a survey examining the state of AI adoption across US enterprises.<\/p>\n\n\n\n

The results are mixed: although 92% of enterprises are treating AI as a priority, they are experiencing technical and organisational roadblocks. The findings serve as a timely reminder about the challenges of AI implementation, as noted in MIT\u2019s study, State of AI in Business in 2025. They also offer new perspectives on enterprise technology; workflow changes and the cultural issues tied to Digital Transformation.<\/p>\n\n\n\n

“There’s a huge gap between wanting AI and actually making it work in complex enterprise environments,” said Emily Mabie, AI Automation Engineer, Zapier.<\/p>\n\n\n\n

“Our survey shows the biggest barriers aren’t about believing in AI’s potential. They’re about integrating AI with their existing systems, skill gaps, high costs and vendor lock-in.”<\/p>\n\n\n\n

Key survey findings<\/p>\n\n\n\n

\u25cf Fifty-six percent of enterprise leaders consider themselves ‘enthusiastic champions’ of AI adoption, with another 28% cautiously optimistic. Only 4% are actively resistant and just 2% say they haven’t considered implementing AI. <\/p>\n\n\n\n

\u25cf Integration problems dominate: 78% of enterprises struggle to connect AI tools with existing systems – with 53% rating integration as moderately to extremely difficult. <\/p>\n\n\n\n

\u25cf Vendor challenges are real: 45% cite high costs as a barrier, 38% lack trust in vendor security and 33% fear vendor lock-in. <\/p>\n\n\n\n

\u25cf Skills matter: 35% of leaders cite AI skill gaps among employees as a barrier to adoption. <\/p>\n\n\n\n

\u25cf Competitive pressure is intense: 81% of companies feel pressure to speed up AI adoption to keep pace with competitors, with 41% saying slow rollouts have caused them to fall behind.<\/p>\n\n\n\n

The human and cultural story behind the numbers<\/strong><\/p>\n\n\n\n

Unlike stories that only highlight fears of losing jobs, Zapier\u2019s research points to more practical barriers. Data quality issues (29%), IT infrastructure problems (27%) and the difficulty of measuring ROI are key concerns.<\/p>\n\n\n\n

The survey also shows a divide between departments: IT is over ten times more likely to lead AI acceleration than sales, marketing, HR or customer service teams. Yet IT and the C-suite are also the departments most likely to hinder AI adoption due to infrastructure limitations and approval processes.<\/p>\n\n\n\n

“The story here isn’t about people resisting AI,” Mabie said. “It’s about organisations trying to manage a really complicated situation. They need to bring in transformative technology while handling security, governance, legacy systems and teams that have different levels of AI knowledge.”<\/p>\n\n\n\n

The execution gap in enterprise AI<\/strong><\/p>\n\n\n\n

The survey results come at a key time when businesses are making large investments in AI. While people often talk about fears of job loss or worker hesitance, the data shows a more basic problem. Most organisations do not have the infrastructure, integration capabilities and teamwork needed to implement AI successfully on a large scale.<\/p>\n\n\n\n

This gap between ambition and execution is impacting businesses in key areas. Companies that report slow AI rollouts say they have fallen behind competitors (41%), missed productivity gains (39%) and experienced delayed returns on investment (37%).<\/p>\n\n\n\n

Recommendations<\/strong><\/p>\n\n\n\n

Based on the survey findings, Zapier has the following recommendations:<\/p>\n\n\n\n

\u25cf Make sure the AI tools in your tech stack connect with each other. <\/p>\n\n\n\n

\u25cf Focus on building automated AI workflows across your enterprise. <\/p>\n\n\n\n

\u25cf Orchestrate AI as part of unified, company-wide business processes. <\/p>\n\n\n\n

\u25cf Democratise AI by making it accessible to team members regardless of their technical background while maintaining IT oversight for compliance and security. <\/p>\n","protected":false},"excerpt":{"rendered":"

Zapier\u2019s latest survey shows four in five enterprises are struggling to integrate AI with legacy systems, despite strong enthusiasm for AI adoption. Zapier has released the findings from a survey examining the state of AI adoption across US enterprises. The results are mixed: although 92% of enterprises are treating AI as a priority, they are […]<\/p>\n","protected":false},"author":58,"featured_media":51319,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8994,8995,1034,43],"tags":[5163,8407,10043,10042,10045,221,8230,10041,1257,10044,6359,10040],"class_list":["post-51318","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-c-suite","category-north-america","category-top-stories","tag-ai-adoption","tag-ai-integration","tag-ai-orchestration","tag-ai-survey","tag-automation-tools","tag-digital-transformation","tag-enterprise-it","tag-enterprise-technology","tag-internet","tag-legacy-systems","tag-workflow-automation","tag-zapier"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts\/51318","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/comments?post=51318"}],"version-history":[{"count":1,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts\/51318\/revisions"}],"predecessor-version":[{"id":51320,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts\/51318\/revisions\/51320"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/media\/51319"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/media?parent=51318"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/categories?post=51318"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/tags?post=51318"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}