# Agency's Secure Sandboxes Boost Agent Productivity and Cost Efficiency

> With Agency, AI agents can now function securely and autonomously, significantly improving efficiency and productivity. This groundbreaking infrastructure marks a pivotal shift in how organizations can leverage AI technology.

**Source**: sierra.ai | **Published**: 2026-07-29 | **Type**: article

## Key Facts

- Agency's secure sandboxes enhance agent autonomy, boosting productivity by reducing wait times.
- Custom-built sandboxes avoid vendor constraints, enabling faster deployment of Ghostwriter features.
- Dynamic resource allocation allows efficient compute use, reducing costs while maintaining performance.
- Control over agent infrastructure leads to rapid feature development, enhancing competitive positioning.
- Focus on security from the start mitigates risks, ensuring trust with sensitive customer data handling.

## Summary

A significant development in the AI landscape has emerged with the introduction of Agency, a new infrastructure designed to enhance the functionality and security of AI agents like Pinecone and Ghostwriter. This innovation addresses critical limitations faced by earlier prototypes, particularly in terms of operational efficiency and security. By creating a secure, scalable environment for AI agents to operate autonomously, Agency aims to streamline workflows and improve productivity across organizations.

The backdrop to this advancement lies in the growing reliance on AI agents within corporate environments. Prior to Agency, engineers often found themselves hindered by the inefficiencies of existing systems, which required constant supervision and interaction. The introduction of Pinecone, an AI agent, demonstrated that while the models themselves were capable, the surrounding infrastructure was lacking. Agency seeks to rectify this by providing a robust framework that allows agents to function independently while ensuring data security and operational reliability.

Agency operates as an orchestration layer for agent sandboxes, built on a Kubernetes architecture. It consists of a stateless control plane that manages the provisioning of resources and a stateful runner layer where agents execute their tasks. This dual-layer approach not only enhances the scalability of operations but also allows for dynamic resource allocation, ensuring that agents can run efficiently without unnecessary constraints. The architecture is designed to handle sensitive customer data securely, with built-in measures to prevent unauthorized access and data breaches.

The decision to build Agency in-house rather than relying on third-party solutions reflects a strategic choice to maintain control over the development process and avoid the limitations of existing sandbox providers. Many of these providers impose strict resource limits and operational constraints that could stifle innovation and hinder performance. By developing a proprietary solution, the company can tailor the environment to meet its specific needs and those of its customers, facilitating faster deployment of features and enhancements.

Agency's design also incorporates a unique feature known as runner hibernation, which allows idle agents to be temporarily suspended and later reactivated without loss of state or performance. This capability not only optimizes resource utilization but also aligns with the observed behavior of AI agents, which often spend significant time waiting for user input. By decoupling the communication between agents and applications, Agency ensures that operations can continue seamlessly, further enhancing productivity.

As businesses increasingly integrate AI into their operations, the implications of Agency's launch extend beyond mere technical enhancements. The ability to provide secure, autonomous AI agents signals a shift in how organizations can leverage AI for complex tasks. It suggests a future where AI can operate with minimal human oversight, thereby freeing up valuable resources for strategic decision-making. Competitors in the AI space may need to reevaluate their offerings and infrastructure capabilities to keep pace with this advancement.

Looking ahead, the establishment of Agency could pave the way for broader adoption of AI agents across various sectors. As organizations seek to enhance efficiency and reduce operational costs, the demand for secure, scalable AI solutions will likely grow. Companies that can harness the capabilities of Agency will be better positioned to innovate and respond to market demands, potentially reshaping competitive dynamics in the AI landscape. The focus on building a reliable, user-friendly infrastructure may also inspire other players in the industry to prioritize similar approaches, emphasizing the importance of simplicity and security in software development.

## Entities

- **Companies**: Sierra
- **Products**: Pinecone, Ghostwriter
- **Technologies**: Kubernetes, DynamoDB, Elasticache Redis Streams

## Key Concepts

agent sandboxes, secure environments, autonomy for agents, runner hibernation, composable primitives, productivity, data security, infrastructure

## Definitions

- **Pinecone**: An AI agent that helps employees work faster by interacting with company systems.
- **Ghostwriter**: An agent-building agent designed for customers to create their own AI agents.
- **Agency**: An orchestration layer for agent sandboxes that provides secure and scalable environments for agents to operate.
- **runner hibernation**: A process that allows idle agent runners to be temporarily suspended to optimize resource usage.
- **composable primitives**: Basic building blocks designed to be reused across different products and applications.

## Use Cases

- Creating secure environments for AI agents
- Optimizing resource usage through runner hibernation
- Building applications that require sensitive data handling
- Rapidly developing features in Pinecone
- Providing autonomy to agents in task execution

## Frequently Asked Questions

**What is the purpose of Agency?**

Agency serves as an orchestration layer for agent sandboxes, providing a secure and scalable environment for AI agents like Pinecone and Ghostwriter to operate efficiently.

**How does runner hibernation work?**

Runner hibernation allows idle agent runners to be suspended and their state preserved, enabling efficient resource management while ensuring that agents can resume their tasks seamlessly when needed.

**Why did you decide to build your own sandbox infrastructure?**

We built our own sandbox infrastructure because existing solutions were not mature enough to meet our specific needs, and we wanted to avoid the constraints imposed by third-party providers.

**What are the security measures in place for the agents?**

Security is integrated into the architecture, with measures such as dedicated IAM roles, hardened containers, and strict control over API access to ensure that agents cannot access sensitive information by default.

**How does Agency improve productivity?**

Agency enhances productivity by allowing users to focus on high-leverage decisions without being bogged down by system limitations, and by enabling rapid feature development without reliance on third-party vendors.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/agencys-secure-sandboxes-boost-agent-productivity-and-cost-efficiency)
- [Original source](https://sierra.ai/blog/agency-secure-scalable-sandboxes-for-agents)
- [Sierra](https://welcome.ai/company/sierra): Featured company

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Source: Welcome.AI | https://welcome.ai/content/agencys-secure-sandboxes-boost-agent-productivity-and-cost-efficiency