OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
Stacksona
$2Starting price
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About Stacksona
Stacksona provides runtime governance for AI agents by converting written policies into executable rules that are enforced at the moment an agent attempts an action. It sits immediately before execution, allowing safe actions to proceed automatically while blocking or routing policy violations for review. The system evaluates proposed actions against defined rules, permits compliant ones to continue, and pauses only those requiring human judgment. Decisions, policy matches, and outcomes are retained as structured evidence for future reference. Stacksona integrates with existing agent frameworks and tools without replacing them, adding a lightweight control boundary at the action level. It supports customer operations, finance, access control, and production tooling by enforcing rules on refunds, payments, permissions, deployments, and other consequential actions. The platform includes decision history, pattern analysis, and advisory features to improve consistency in governance decisions over time.
Key features
- Converts plain-language policies into executable runtime rules
- Evaluates actions against rules before execution
- Allows, rejects, modifies, or routes actions for review
- Retains decision history with policy matches and outcomes
- Provides pattern analysis and advisory insights
- Supports Slack, email, and webhook notifications
- Offers bulk export for audit and compliance reporting
- Integrates with JavaScript SDK, MCP server, n8n node, and REST API
Use cases
- Enforcing refund policies with automatic approvals and escalation thresholds
- Controlling financial actions such as payments and vendor approvals
- Managing access permissions and sensitive data operations
Pros
- Enforces policies at runtime without modifying existing agent stacks
- Retains structured decision history for auditing and pattern analysis
- Allows routine actions to proceed automatically while pausing only boundary cases
- Provides advisory insights based on historical governance outcomes
- Supports multiple integration methods including SDK, MCP server, and API
Cons
- Free tier limited to one agent and 100 decision threads per month
- No explicit support for non-English policies or localized rules
- Requires technical integration via SDK, MCP, n8n, or API
- Decision history retention varies by plan, with maximum 365 days
Frequently asked questions about Stacksona
What does Stacksona do?
Stacksona provides runtime governance for AI agents by converting written policies into executable rules enforced at the moment an agent attempts an action. It allows safe actions to proceed automatically while blocking or routing policy violations for review.
Who is Stacksona designed for?
Stacksona is designed for organizations using AI agents in customer operations, finance, access control, and production tooling where consequential actions like refunds, payments, permissions, and deployments require governance.
How does Stacksona integrate with existing systems?
Stacksona integrates with existing agent frameworks and tools without replacing them, adding a lightweight control boundary at the action level via SDKs, MCP servers, n8n nodes, or a decision API.
What happens when an agent's action violates policy?
When an action violates policy, Stacksona pauses the workflow and routes the decision to the appropriate person for review, while permitting compliant actions to continue automatically.
Does Stacksona replace my existing agent stack?
No, Stacksona does not replace your agent stack. It adds a lightweight decision boundary immediately before actions with real consequences, keeping your agents, tools, models, and orchestration intact.
How can I get started with Stacksona?
You can start by turning your existing policies into runtime rules, reviewing the controls, and publishing them to give agents a machine-readable boundary to follow. A free runtime demo is available to explore the system.
