Overview
- Eliminate unauthorized AI agent actions by enforcing granular policies defined in YAML for every AWS action, git repository, and tool each agent can touch.
- Maintain a complete, queryable audit trail for every tool call, approval, and API request—streamable to any S3 bucket for compliance reporting.
- Prevent costly mistakes and data breaches by requiring human-in-the-loop approvals for risky operations, with instant notifications via Slack or Telegram.
- Keep AI agents running without interruption by automatically rerouting to a backup provider when the primary fails—zero code changes required.
- Control AI agent spending precisely with per-project token budgets, rate limiting, and spend alerts that show exactly what each agent costs.
- Accelerate agent deployment through integrated CI/CD, code review, and testing workflows that enforce code quality before release.
- Achieve full traceability and accountability for every human-AI collaboration, from access permission requests to invoice approvals, with every interaction logged.
- Orchestrate multiple AI agents seamlessly with agent-to-agent messaging, live session tracking, and a real-time dashboard showing each agent's current task.
- Connect any AI provider—Claude Code, Codex, and more—using API key or OAuth, with the flexibility to mix providers and set fallbacks in a single policy.
- Eliminate infrastructure overhead by relying on a fully managed platform that handles Postgres, Redis, uptime, backups, and upgrades—just use a URL and dashboard.
Pros & Cons
Pros
- Managed Control Plane
- Policy Enforcement
- Audit Trails
- Human-in-the-loop Approvals
- Fully-managed Environment
- Supports Quick Connections
- Provider-agnostic Approach
- Efficient Day-to-day Operations
- Code Review and Testing
- ETL and Data Quality Checking
- Handles Access Permissions
- Ensures Traceability and Accountability
- Risky Operations Gated on Approvals
- Features Supporting Multi-agent Orchestration
- Cost Controls
- Managed Infrastructure
- Uncomplicated Integration
- Zero-downtime Operation
- API Key and OAuth Support
- Controlled Operation of Agents
- Access Definition In Yaml
- AWS Actions Supported
- Git Repositories Supported
- Tool Access Control
- Code Review, CI/CD, Deployment
- Monitoring, Incident Response
- Audit, Scanning and Compliance
- Access Controls for AWS
- Multi-provider failover feature
- Enterprise-grade controls
- Full Audit Trail
- Human-in-the-loop Approvals
- Multi-Agent Orchestration
- Cost Controls
- Defined by user access policies
- Per-project token budgets
- Rate limiting and spend alerts
- No Postgres Configuration
- No Redis to Tune
- No Gateway to Patch
- Hosted and Managed Solution
- Single Chokepoint for Logging, Compliance Checks
- Provides Managed Gateway Endpoint
- Automatic Policy Enforcement
- Allows API Key Bring-Your-Own-Plan
- No Seat Fees or Minimums
- Cancel Anytime Feature
- Data Export Anytime
Cons
- No Kubernetes support
- Fully managed, no tinkering
- Pay for each agent
- Limited deployment options
- No version control
- No multi-language support
- No self-hosted option
- Limited customizability
- No user interface personalization
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❓ Frequently Asked Questions
Sentrely supports the connection of AI agents in a quick and confidence-inspiring manner. Users can easily connect their AI agents via API key or OAuth with supported AI clients, ensuring effortless integrations regardless of the AI provider. This service is designed to be provider-agnostic, allowing it to function seamlessly with various AI providers.
Yes, Sentrely works with various AI providers. Its provider-agnostic approach ensures it can integrate with a wide range of AI providers. Users can connect their AI agents either via API key or by using OAuth with their supported AI clients, hence allowing flexibility and versatility in operations.
The human-in-the-loop approval mechanism in Sentrely involves gating risky operations on approvals from designated authorities. Sentrely sends a notice for approval to relevant authorities when such operations are to be performed. This feature enhances security and control over the tasks performed by AI agents.
Access control plays an integral role in Sentrely by offering diverse control for different actions including code reviewing, testing, ETL and data quality checking. It ensures that only correct individuals can go through specific operations, enhancing security and preventing unauthorized access or modifications.
Sentrely handles incidents and responses promptly as part of its commitment to ensure efficient day-to-day operations. It assists in deploying and monitoring AI agents, quickly responding to various incidents, thereby maintaining operational efficiency and reducing downtime.
Yes, Sentrely can manage ETL (Extract, Transform, Load) and data quality checking. It offers access control for these actions, ensuring that only authorized individuals can handle ETL operations and data quality checks, thus maintaining data integrity and quality.
Collaborations between humans and AI agents in Sentrely are designed to complete tasks efficiently. It seamlessly handles requests, such as access permissions and invoicing, ensuring traceability and accountability. By maintaining a close interaction between humans and AI, Sentrely ensures both can work together in a harmonized manner to complete tasks.
Sentrely ensures traceability and accountability through features such as access permissions and invoicing. Risky operations are logged and gated on approvals from designated authorities. By maintaining an organized account of operations, Sentrely ensures that actions can be traced back to their origin, holding individuals or systems accountable for their actions.
In Sentrely, features supporting multi-agent orchestration include managed infrastructure, cost controls, and provider-agnostic integrations. These features ensure multiple AI agents can concurrently and efficiently fulfill their tasks while promoting control and steady operations.
Sentrely can be easily integrated into existing applications through its uncomplicated integration feature. You can simply connect using an API key or OAuth, and it promises a zero-downtime operation, keeping agents running even when one provider fails.
To manage risks and approvals during operations, Sentrely implements an approval gating process, where risky operations require approvals from designated authorities. These events are logged for future reference, thus adding an extra layer of security to operations.
Yes, Sentrely operates with a promise of zero downtime. This means that even if one AI provider fails, Sentrely keeps the AI agents running, eliminating operational disruptions and maintaining an uninterrupted flow of tasks.
Yes, Sentrely provides the ability to connect either via API key or OAuth. This ensures ease and flexibility for the users as they can choose their preferred method of connection depending on their specific requirements and the AI clients they're using.
With Sentrely, a wide variety of operations can be completed. This ranges from conducting code reviews and tests, managing ETL operations, to handling access permissions, and invoicing. Additionally, risky operations are gated on approvals from designated authorities, ensuring adherence to protocol and maintaining operational safety.
Sentrely assists clients in efficiently deploying, monitoring, and responding to incidents involving their AI agents. It aids in smooth operation and swift response in case of any unpredicted incidents, ensuring a structured and orderly functioning of the AI agents, maximizing productivity.
Sentrely supports code reviewing and testing through its access control feature. By enabling specific permissions for these tasks, it ensures the reviewing and testing processes are undertaken by authorized personnel in a controlled environment, securing the integrity and reliability of the codebase and test results.
Yes, Sentrely offers cost controls and managed infrastructure among its features. It aims to streamline AI agent operations in a cost-effective way with per-agent pricing, while also providing a robust and well-maintained infrastructure to support AI agent operations.
Sentrely ensures efficient day-to-day operations by helping clients manage and monitor their AI agents effectively. It enables swift response to incidents and offers a central control plane that hosts and manages AI agents, thus minimizing operational hassles and maximizing productivity.
Users can benefit from Sentrely's provider-agnostic approach as it offers flexibility and independence from specific AI software providers. This allows for broader compatibility and the opportunity to work with a variety of AI suppliers without having to worry about provider-specific constraints.
Sentrely takes comprehensive measures to provide policy enforcement and audit trails. It provides a managed environment with policy enforcement for AI agents, creating set rules and guidelines that have to be complied with. Detailed audit trails are maintained for every operation, including access permissions, ensuring accountability for every action taken within the platform.
Sentrely operates as a Managed Control Plane for AI Agents. It aids in policy enforcement, maintaining audit trails, and provides human-in-the-loop approvals for AI agents. It single-handedly manages these aspects, allowing users to link their agents to the platform with ease and confidence. Sentrely has a unique feature-set like code reviewing, CI/CD, testing, deployment, and monitoring, among others. It also aids in policy management while ensuring controlled operation of your agents. It allows users to define access in YAML for different actions, ensuring efficient day-to-day operations and comprehensive audit trail maintenance.
Being a Managed Control Plane for AI agents, Sentrely provides a platform to ensure policy enforcement, maintain audit trails, and authorize human-in-the-loop approvals for the agents. Sentrely not just hosts but manages these features allowing users to connect their agents to the platform quickly and confidently. It logs every action performed by the AI agents for policy compliance checks and user approvals. In essence, Sentrely serves as a single chokepoint through which all AI agent action flows.
Yes, Sentrely is designed to work with various AI providers. It offers raw API key access as well as OAuth for easy connection with your favorite AI clients, making the whole process provider-agnostic. It provides seamless connectivity with AI clients such as Claude Code, Codex, and more. Users also have the ability to mix providers, set fallbacks, and ensure their agents keep running even if one provider goes down.
Sentrely offers a plethora of features aimed at ensuring the smooth operation of AI agents. Features like policy enforcement, audit trails, and human-in-the-loop approvals form its core functionalities. It facilitates code reviewing, testing, and CI/CD to expedite agent deployment. Sentrely also provides a platform for agent management and monitoring, incident response, maintaining audit trails, policy compliance checks, and user approvals. Its platform supports multi-agent orchestration, cost controls, and managed infrastructure for efficient operation of agents.
Sentrely enables collaborations between humans and AI agents through its human-in-the-loop approval mechanisms. In scenarios where risky operations are undertaken, these operations are gated based on approvals received from designated authorities, thereby involving humans in the decision-making process. Every approval, interaction, or access request is logged for future reference ensuring full traceability and accountability. By involving human approvals at key stages, Sentrely ensures the right balance between automation and human supervision.
Sentrely can control a variety of actions spanning from code reviewing, testing, making Extract, Transform, Load (ETL) and data quality checks. Primarily it ensures policy enforcement, maintains audit trails, and manages approvals for your AI agents. You can also define the access in YAML for different AWS actions, git repositories, and tools each agent can touch, thus, maintaining major control over every single agent operation.
Yes, Sentrely has features built specifically for incident response and monitoring. The platform constantly monitors AI agent activities and immediately responds when incidents occur. Accordingly, it logs the incident for future references or audit trails. The incident response is fast and automated, ensuring that the operation and performance of the AI agents are unhindered.
Sentrely supports policy enforcement by granting users the ability to write project.yml declaring which AWS actions, git repositories, and tools each agent is allowed to use. Every tool call, approval, and API request is enforced and logged automatically by Sentrely. Additionally, it plays a crucial role in maintaining audit trails by logging every action undertaken by the AI agents and these logs can be queried from the dashboard and streamed to any S3 bucket as required.
Approvals in Sentrely are handled using a human-in-the-loop process. Any action tagged as risky or important, such as invoice requests or sensitive data alterations, can be reviewed and approved by a designated employee or team via Sentrely's approval gate. Users get instant notifications via telegram, slack, or the dashboard, allowing them to instantly approve or deny anything requiring authorization.
Yes, Sentrely provides facilities for testing and code reviewing. It supports a wide variety of use cases and extends integrations to multiple industries that involve code reviewing, Continuous Integration/Continuous Deployment (CI/CD), testing, and more for the AI agents. It ensures code quality and accelerates the development process by providing an efficient code review system.
Sentrely handles its infrastructure by managing all the critical components essential for the AI agents to run smoothly. The users are liberated from configuring databases like Postgres, tuning caches like Redis, or patching the gateway. Sentrely handles uptime, backups, and upgrades and provides the user with a URL and a dashboard, thereby enhancing user convenience.
Sentrely allows users to connect AI agents using API keys that provide raw access and complete control over the model and spend. Alternatively, users can also use OAuth for a simpler connection process by signing in with their existing account thus negating the necessity of an API key. This flexibility enhances the versatility of the platform and caters to varying user preferences.
Absolutely. Sentrely is designed so as to ensure that even in the event of a failure of a provider, the user's agents can stay operational. In the policy, a user can define a backup provider. In the case of a primary provider failure, Sentrely can automatically reroute to the backup provider without requiring code changes thus enabling zero downtime so your agents can keep running.
Sentrely being fully-managed implies that it takes on the responsibilities of managing all critical aspects concerning the AI agents from hosting the features, ensuring policy enforcement, audit trails, to managing human-in-the-loop approvals. Users do not need to worry about infra setup or managing their cloud accounts, making it a seamless and worry-free environment for users to connect their AI agents to the platform.
In Sentrely, access is defined using YAML, which is a data oriented human-readable format. Users can write out a project.yml file, clearly stating which resources each agent can access. This includes various AWS actions, git repositories, and tools that each agent can interact with. The access definition in YAML provides a declarative approach to manage access controls, providing efficient, structured, and secure access management.
Yes, Sentrely supports multi-agent orchestration. The platform facilitates agent-to-agent (A2A) messaging, live session tracking, and a real-time dashboard showing every running agent and its current task. These capabilities enable improved coordination and execution across multiple AI agents, effectively streamlining their operations.
Sentrely offers the flexibility of integrating with multiple third-party platforms. It supports more than 100 integrations including AWS, GitHub, Stripe, GHL, Meta and many more. Also, it allows the user to connect via an API key or use OAuth to link with various AI clients. This robust capability allows users to consolidate and manage all their different tools centrally from the Sentrely platform.
Yes, Sentrely offers cost controls to keep the operations fiscally accountable. The platform allows you to assign per-project token budgets and employs rate limiting to control your spend on the platform. It also includes spend alert features that enable you to know exactly how much each agent costs, thereby ensuring financial transparency and cost-effectiveness.
Yes, Sentrely plays a key role in maintaining audit trails. The platform logs all actions taken by AI agents that stream through it. Furthermore, it maintains a comprehensive log of tool calls, approvals, and API request, which can be queried directly from the dashboard or even streamed to an S3 bucket anytime. This comprehensive record ensures traceability, auditability and enhances accountability of the system.
Pricing
Pricing model
Free Trial
Paid options from
$199/month
Billing frequency
Monthly
