Hybrid Control Plane
Hybrid Control Plane on Beyond Market Intelligence: a running collection of 4 stories we have gathered and hand-picked because they are worth your time. Every post here touches on hybrid control plane in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around hybrid control plane, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
One in five enterprises can't stop a runaway AI agent's spending in real time
Enterprise adoption of AI agents is revealing a critical shift: organizations are increasingly deploying multiple orchestration platforms—averaging three—to mitigate vendor risk and retain control. This trend, driven by concerns around security, permissions, and visibility, sees Microsoft AI Foundry/Copilot Studio leading usage, with Anthropic's Claude Platform gaining significant consideration. Notably, one in five enterprises still lacks real-time control over agent spending, highlighting the need for robust oversight as AI deployments evolve. Learn more about this emerging landscape with VentureBeat's coverage of Serval’s AI agent, Catalyst.
Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost
Enterprise agent orchestration has evolved into a plural reality. Across 107 organizations, the typical enterprise manages three orchestration platforms to maximize flexibility across AI models, prioritizing adaptability over vendor lock-in. Microsoft leads in current usage, while Anthropic is the frontrunner for future consideration. A significant challenge remains: one in five enterprises lacks real-time control to prevent runaway agent costs, highlighting a critical need for enhanced fiscal governance in this rapidly evolving landscape.
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
Enterprise AI organizations face a deployment challenge, not a platform problem—and most are converging on agentic orchestration. VentureBeat Pulse Research, surveying 101 enterprises, reveals Anthropic’s Claude leads with 40% adoption, driven by “model gravity” and a focus on reliable, multi-step execution. However, a significant gap exists: 71% report that less than a quarter of their deployed "agents" are truly orchestrated workflows.
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
Enterprise AI organizations face a deployment challenge, not a platform one—and many are framing chatbots as agents. VentureBeat Pulse Research, surveying 101 enterprises, reveals Anthropic’s Claude leads agent orchestration (40%), driven by model gravity and reliable multi-step execution. However, a significant gap exists: 71% report that less than a quarter of their agents are truly orchestrated workflows, highlighting the need for robust tooling and fiscal control. Enterprises are prioritizing hybrid control planes to avoid vendor lock-in, signaling a shift towards operational consolidation.