Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents

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VentureBeat Pulse Research surveying 101 enterprises shows agent orchestration consolidating around major model platforms, with Anthropic's Claude chosen as primary by 40% — more than double Microsoft (18%) and OpenAI (13%). The driving factor is model gravity: proximity to a state-of-the-art base model (cited by 21%), with success measured by task completion reliability (32%) and multi-step workflow management (28%). The gap between ambition and reality is striking. Despite orchestration investments, 71% of enterprises say fewer than a quarter of their deployed 'agents' are true multi-step orchestrated systems — only 10% have crossed the halfway mark. What enterprises label 'agents' are mostly single-prompt chatbots dressed in a branded interface. By end of 2026, 51% plan a hybrid control plane combining provider-native tools with external orchestration, specifically to dodge vendor lock-in (flagged by 35% as their top risk). Just 6% will fully cede control to a provider-managed service. Real-time fiscal controls over token costs remain rare — a gap that will widen as agent workloads scale.