Artificial Intelligence (AI) implementation was analyzed in a recent report by Tray.io. According to the report, more than 90% of enterprises are currently experiencing limitations integrating AI into their tech stack. Almost three quarters of companies (73%) report that more than half of the apps in their tech stack have AI capabilities or AI-augmented features. However, this rapid proliferation of AI within existing Software as a Service (SaaS) apps is causing significant integration pains, including challenges with provisioning and on-going management, lack of AI implementation frameworks and issues surrounding change management within the organization. 

Almost half of enterprise executives (48%) indicate that their organization’s AI implementation strategy for the next year is focused on building strong integrations between their internal SaaS apps and AI, while close to 20% of practitioners state their organization doesn’t have an AI strategy as it relates to their tech stack and internal business processes.

SaaS bloat remains a challenge with 55% of companies reporting that they have more than 50 SaaS apps in their tech stack and 37% stating they have more than 100. Seventy-three percent of respondents state that more than half of the apps in their tech stack have AI capabilities or AI-augmented features, and 40% of respondents plan to use the built-in AI features for more than half of their SaaS apps.