AUDITABILITY
Immutable Audit Trails.
Every request, review, and result is captured in a tamper-evident record for audits and incident response.
Trusted by AI Platform & Security Teams
Security-first architecture · Built to SOC 2-aligned controls
Let AI agents move fast—with the right human oversight.
Stacksona adds a simple approval layer to your agent workflows, so sensitive actions are reviewed, policy-checked, and fully tracked.
✓Catch risky actions before they reach production.
✓Move approvals out of scattered chats and tickets.
✓Keep a clear history of every decision.
POLICY DECISION
PENDING_APPROVAL · RISK_SCORE: HIGH
JSON VIEW
Policy Match: PASSED
Without a governance layer
Approvals are scattered across chat, email, and tickets—creating delays, inconsistency, and limited accountability.
With Stacksona
High-risk actions go to the right reviewer, with clear context, and return to the agent with a traceable decision.
Built for teams running AI in production
Simple oversight without slowing delivery.
SECURITY
Deterministic Guardrails.
Use policy controls to block unsafe actions and require human approval for sensitive changes.
VELOCITY
Faster Approvals, Fewer Bottlenecks.
Escalate only what matters, keep low-risk actions moving, and avoid manual approval bottlenecks.
Why teams choose Stacksona
Everything you need to keep agent decisions clear, safe, and accountable.
Enterprise Security Controls
- SSO-ready identity integration
- Role-based reviewer permissions
- Policy-scoped approvals by environment
Complete Decision Visibility
- Task-level event logging from request to resolution
- Approval provenance: who decided, when, and why
- Full human review context attached to each outcome
Built for Modern AI Stacks
- Integrates with existing agent runtimes
- Supports real-time human escalation paths
- Returns approved decisions directly to workflows
How it works in practice
Example: a high-risk customer action
An agent attempts a billing change. Stacksona captures the request, adds policy context, and routes one approval task to the assigned reviewer. The decision is then returned to the runtime with an audit-ready record.
Full Reviewer Context
Approvers see affected resources, action details, and policy rationale before making a decision.
Clear Outcome Control
Approve, deny, or request revision—with outcomes tied directly to the original task request.
Audit-Ready by Default
Decision data, reviewer input, and final execution state are preserved for governance and audits.
Works with your existing stack
Built to fit how your team already ships.
Any language
Any agent framework
Any deployment
Any approval workflow
Speak with a Governance Engineer.
See how Stacksona fits your existing agent architecture, security controls, and approval workflows.