Deloitte Report IDs Key AI Enterprise Trends
A new report from Deloitte and ServiceNow identifies five key trends defining the next era of automation and the "AI-fueled enterprise." The "2026 Workflow Automation Outlook" focuses on how companies are moving from AI insights to real-world impact through connected, automated systems.
An AI-ready architecture is the foundation for scaling artificial intelligence, moving companies from siloed experiments to integrated systems. This involves creating a unified data model and a modular design that allows for the continuous adaptation and updating of AI models to solve new business problems. For example, a major U.S. telecom company built a self-service AI platform to break down internal silos and standardize AI development across its sales, customer service, and finance departments. Tech transformation is increasingly centered on rebuilding workflows with AI at their core, rather than simply automating existing processes. This shift to "intelligent automation" is evident in the manufacturing sector, where the market for AI is projected to grow from $3.8 billion in 2022 to over $68 billion by 2032. Companies like BMW are using AI for predictive maintenance, which can reduce costly disruptions by up to 40%. Contrary to the belief that governance slows down progress, a strong framework is proving to be an innovation enabler. A survey by the IBM Institute of Business Value found that 27% of AI efficiency gains are attributed to strong governance, and companies that invest more in AI ethics report 34% higher operating profit from AI. In fact, 52% of business leaders believe that good governance improves the time-to-value for AI projects. Autonomous action is set to revolutionize Customer Relationship Management (CRM), with AI agents handling tasks without direct human intervention. Companies using autonomous agents in their CRM have seen up to a 14% better issue resolution rate and 9% faster handling times. One global retail brand that implemented an agentic AI-powered CRM saw a 37% increase in customer retention and a 20% increase in average order value, leading to a 335% ROI. Enterprises are now prioritizing tangible business value over the sheer volume of AI features. The focus is on measurable outcomes like cost savings, revenue growth, and productivity improvements. For every dollar an organization invests in generative AI, the expected return on investment is $3.70. Broad AI adoption typically delivers 20-30% increases in productivity, speed to market, and revenue.
