Anthropic announced a new platform last week, Agents managed by Claudewith the goal of eliminating the most complex parts of implementing AI agents for enterprises and competing with existing orchestration frameworks.
Claude Managed Agents also represents an architectural change: enterprises, already burdened with orchestrating an increasing number of agents, can now choose to incorporate orchestration logic. at the AI model layer.
While this has some potential advantages, such as speed (Anthropic proposes that its customers can deploy agents in days rather than weeks or months), it also, of course, hands greater control over the enterprise’s AI agent deployments and operations to the model vendor (in this case, Anthropic), which could result in greater "enclose" for the enterprise customer, leaving them more subject to Anthropic’s terms, conditions and any subsequent changes to the platform.
But it may be worth it for your business, as Anthropic further claims that its platform “handles complexity” by allowing users to define agent tasks, tools, and guardrails with a built-in orchestration harness, all without the need for sandboxed code execution, checkpointing, credential management, scope permissions, and end-to-end tracking.
The framework manages state, execution graphs, and routing and brings managed agents into a provider-controlled execution cycle.
Even before the launch of Claude Managed Agents, new directional research from VentureBeat showed that Anthropic was gaining traction at the orchestration level as companies adopted its native tools. Claude Managed Agents represents a new attempt by the company to expand its presence as the orchestration method of choice for organizations.
Anthropic is increasing interest in orchestration
Orchestration has become an important segment that companies must address as they scale AI systems and implement agent workflows.
VentureBeat’s directional research of several dozen companies for the first quarter of 2026 found that companies mostly chose existing frameworks, such as Microsoft’s Copilot Studio/Azure AI Studio, and 38.6% of respondents surveyed in February reported using Microsoft’s platform. VentureBeat surveyed 56 organizations with more than 100 employees in January and 70 in February.
OpenAI followed closely with 25.7%. Both showed strong growth between the first two months of the year.
Anthropic, buoyed by increased interest in its offerings, such as Claude Code, over the past year, is putting up a fight.
Adoption of Anthropic’s Workflow API and Tool Usage increased from 0% to 5.7% between January and February. This closely follows the growing adoption of Anthropic’s core models, showing that companies using Claude are turning to the company’s native orchestration tools rather than adding a third-party framework.
While VentureBeat conducted a survey before the launch of Claude Managed Agents, we can extrapolate that the new tool will take advantage of that growth, especially if it promises an easier way to deploy agents.
Collapse the external orchestration layer
Companies may find a simplified internal harness for agents compelling, but that means giving up certain controls.
Session data is stored in a database managed by Anthropic, increasing the risk of companies becoming trapped in a system managed by a single company. This may be less desirable for some businesses and compete with their desires to move away from current stack software-as-a-service (SaaS) applications, which many hope AI will facilitate.
The spectrum of vendor lock-in means that agent execution is more model-based than organization-based, occurs in an environment that companies do not fully control, and behavior becomes more difficult to ensure.
It also opens up the possibility of giving agents conflicting instructions, especially if the only way for users to exert control over agents is to give them more context.
Agents could have two planes of control: one defined by the companies orchestration system through instructions and the other as a built-in ability of Claude’s runtime.
This could pose a problem for highly sensitive and regulated workflows, such as financial analysis or client-facing tasks.
Prices, control and competitive set.
Balancing control with ease is one thing; Companies also consider the cost structure of Claude Managed Agents.
Claude Managed Agents presents a hybrid pricing model which combines token-based billing with a usage-based runtime fee.
This makes Managed Agets more dynamic, although less predictable, in determining cost structures. Businesses will be charged a standard rate of $0.08 per hour when agents are actively operating.
For example, at $0.70 per hour, a one-hour session could cost up to $37 to process 10,000 support tickets, depending on how long each agent runs and how many steps are needed to complete a task.
Microsoft, currently the leader according to VentureBeat’s directional survey, offers several orchestration offerings. Co-pilot study uses a capacity-based billing structure, so companies pay for blocks of interactions between users and agents rather than the number of steps an agent takes.
Microsoft’s approach tends to be more predictable than Anthropic’s pricing plan: Copilot Studio starts at $200 a month for 25,000 messages.
Compared to similar competitors like OpenAI’s Agents SDK, the picture gets murky. Agents SDK is technically free to use as an open source project. However, OpenAI bills for the underlying API usage. Agents built and orchestrated with the Agents SDK using GPT-5.4, for example, will cost $2.50 per million input tokens and $15 per million output tokens.
The business decision
Claude Managed Agents offers respite to companies that find the actual deployment of production agents too complicated. Reduces your engineering expenses while adding speed and simplicity in a rapidly changing business environment.
But that comes with a choice: lose control, observability and portability, and risk becoming even more vendor dependent.
Anthropic just explained why its ecosystem is becoming not only the basic model of choice for companies, but also the orchestration infrastructure. It becomes more imperative for companies to balance ease with less control.
