Anthropic's Managed Agents handle complex multi-step work autonomously — browsing, coding, and executing within defined boundaries.
Managed Agents are Anthropic's latest product for autonomous AI work. Unlike single API calls, Managed Agents execute multi-step tasks independently — browsing the web, writing and running code, managing files, and chaining actions together. DeployLabs deploys and manages these agents within your business operations.
What Managed Agents brings to your operations.
Autonomous Multi-Step Execution
Managed Agents break complex tasks into steps and execute them sequentially — without requiring human input at each stage. Research a topic, compile findings, draft a report, format it, and save it to your document system. One instruction, multiple actions.
Web Browsing and Research
Agents browse the web autonomously to gather information, verify facts, monitor competitors, and track industry developments. Results are structured and delivered in your preferred format — not raw search results requiring manual review.
Code Execution in Sandboxes
Managed Agents write and execute code in isolated sandbox environments — data analysis in Python, report generation, API integrations, and file processing. The sandbox ensures code runs safely without affecting your production systems.
File and Document Management
Agents create, read, edit, and organize files autonomously. Document generation, data extraction from PDFs, spreadsheet analysis, and report compilation happen without manual intervention. Output lands in your document management system.
The platform gives you the foundation. We build the engine.
Managed Agents provides
- Managed Agent runtime with multi-step execution
- Built-in web browsing capability
- Sandboxed code execution environment
- File management and document processing
- Claude's reasoning and safety capabilities
- Anthropic's enterprise security infrastructure
DeployLabs adds
- Agent task design tailored to your business workflows
- Integration with your internal tools and data sources
- Coordination between multiple Managed Agents
- Output quality standards and review processes
- Monitoring, cost tracking, and usage optimization
- Governance policies for autonomous agent actions
Three phases. No templates. No shortcuts.
Assess
We identify which of your workflows benefit from autonomous multi-step execution vs. single API calls. The assessment maps task complexity, data sensitivity, and approval requirements to determine the right Managed Agent configuration.
1–2 weeksBuild
Managed Agents are configured with task-specific instructions, connected to your tools and data sources, and tested against real business scenarios. Approval gates are set for high-stakes operations. Output quality baselines are established.
4–6 weeksOperate
Post-launch monitoring tracks task completion rates, output quality, cost per task, and agent behavior patterns. Monthly reviews optimize instructions, expand task scope, and refine approval thresholds based on demonstrated reliability.
OngoingManaged Agents engines built for your industry.
Measured results from Managed Agents engine deployments.
Enterprise-grade security built into every deployment.
Sandboxed Execution
Code execution runs in isolated sandbox environments. No access to production systems unless explicitly configured. Each sandbox is ephemeral — created for the task and destroyed after completion.
Container Isolation · Ephemeral SandboxesAnthropic Enterprise Security
Managed Agents inherit Anthropic's enterprise security posture. Data is not used for model training. SOC 2 Type II compliance. Encryption at rest and in transit for all agent interactions and outputs.
SOC 2 Type II · Encryption · No-Training GuaranteeAction-Level Permissions
Each Managed Agent has defined permissions for web browsing, code execution, file access, and external tool use. Permissions are configurable per agent and per task type. No agent has unrestricted capabilities.
Least Privilege · Action Scoping · Configurable LimitsHuman Approval Integration
High-value or high-risk actions pause for human approval before execution. Approval workflows are configurable — by action type, by dollar threshold, by data sensitivity level. Full audit trail of all approval decisions.
Human-in-the-Loop · Approval Workflows · Audit TrailsWhat clients ask about Managed Agents.
How are Managed Agents different from the Claude API?
The Claude API handles single-turn or multi-turn conversations. Managed Agents handle autonomous multi-step workflows — they can browse the web, write and execute code, manage files, and chain multiple actions together without human input at each step. Think of the API as answering questions and Managed Agents as completing projects.
What types of tasks are Managed Agents best suited for?
Tasks with multiple steps that currently require a human to coordinate: research-and-report workflows, data collection and analysis, document generation from multiple sources, competitive monitoring, and any process where the output of one step feeds into the next. If a task requires more than three manual steps, Managed Agents likely handle it faster.
What does a Managed Agents deployment cost?
The AI Readiness Assessment is $2,500. Managed Agent configuration and deployment starts at $7,500. Monthly optimization retainers range from $2,000 to $5,000. Anthropic's per-task pricing is separate and depends on agent activity volume — typically $500–$3,000/month based on task complexity and frequency.
Can Managed Agents access our internal systems?
Yes, with explicit configuration. Managed Agents connect to your tools via API — CRMs, document management systems, databases, and project management platforms. Each connection follows least-privilege principles with defined permission scopes. No agent has unrestricted access to any system.
How do Managed Agents compare to multi-agent orchestration?
Managed Agents are single agents executing multi-step tasks. Multi-agent orchestration involves multiple specialized agents coordinating on a workflow — each with a different role and toolset. For complex operations spanning multiple departments, multi-agent systems provide better specialization. For complex but contained tasks, Managed Agents are simpler to deploy and manage.
Ready to build your Managed Agents engine?
Start with a free discovery call. We map your operations and show you exactly where Managed Agents creates the most leverage for your business.