The orchestration imperative: Balancing agentic AI with determinism

https://imgproxy.divecdn.com/9iL5jjqlPnVfnwfyYqUkrXZte5i5MVkOAeArzHAUiic/g:ce/rs:fit:770:435/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eV8xOTgwMzU3OTQ2XzEyODB4NzIwXzEuanBn.webp

The mandate for orchestration has never been more urgent. According to 2024 Enterprise Management Associates (EMA) research, 91% of technology leaders view AI-enhanced orchestration as critical within the next two years, and 80% are shifting toward enterprise-wide orchestration to run connected digital services.

Much of that urgency comes from AI itself. Enterprises have invested heavily but returns lag. MIT’s 2025 State of AI in Business study found ~95% of generative AI pilots had no measurable P&L impact, and Gartner expects over 40% of agentic AI projects to be cancelled by 2027. MIT also noted that while half of generative AI budgets go to sales and marketing, the biggest returns actually come from unglamorous back-office automation.

Deploying autonomous AI agents without a centralized strategy threatens to multiply existing enterprise fragmentation. To successfully scale, IT leaders must bridge the gap between traditional automation and agentic AI.

The Architectural Debate: Deterministic vs....

Copyright of this story solely belongs to www.ciodive.com. To see the full text click HERE

Read more