The shift to agentic enterprise is turning artificial intelligence from isolated tools into active systems that manage business operations. Instead of layering AI on top of workflows, companies are embedding intelligence directly into them, focusing on durability, governance, and control for autonomous systems.
According to John Furrier, executive analyst at theCUBE Research, the mid-market is booming as underrepresented businesses find value in AI. Simon Chan, chair and founder of the AI Agent Conference, describes this as transformational: agentic systems can make decisions, take actions, and interact with human teams, evolving software from passive records into active participants.
Technical strategies are diverging. Ang Li, CEO of Simular, explains two approaches: API agents that require coded integrations, and computer use agents that operate directly on user interfaces without backend connections.
Demand pressures are accelerating adoption, especially where workforce constraints and rising complexity force change. Jin Chang, CEO of Fieldguide, says top audit and advisory firms are investing in agentic AI to build the operating model for the next two decades, driven by population replacement math and rising demand for CPA services.
Anthony Sardain, CEO of Cavela, notes that his platform automates 90% of product sourcing work for direct-to-consumer brands, highlighting how agents can reliably take on production tasks affecting speed, scale, and consistency.
The AI Agent Conference, covered by theCUBE on May 4-5, will explore how organizations embed decision-capable agents into workflows, navigate governance, and integrate AI into the execution layer.