Human control for AI.
Stacksona Gate gives you an end-to-end review operations platform for your AI agents, with 100% data sovereignty inside your own cloud. Enforce deterministic rules, route actions for human approval, and retain the evidence behind every decision.
AI can be probabilistic. Your boundaries don’t have to be.
Agents are being trusted to send messages, move money, change access, update records, and touch production systems. The authority you give them should be explicit before the action happens.
The workflow is paused at this action. The rest of the agent state is preserved.
Routine work stays automatic. Only the action that crosses a review boundary pauses for a person.
Your policy should work as hard as your agents do.
Turn plain-language policy into proposed tools, runtime rules, review paths, and evidence requirements. Review the controls, publish them, and give agents a machine-readable boundary they can actually follow.
Verified refunds under $500 may be processed automatically. Refunds from $500 to $5,000 require manager approval. Refunds above $5,000 require finance authorization.
Govern the action, not the whole workflow.
Manage the full review lifecycle, from an agent’s proposed action to policy evaluation, reviewer routing, approval, and audit evidence. Stacksona Gate adds this control to the agent stack you already use.
The agent reaches a tool or action.
Send the proposed action and the context needed to evaluate it.
Stacksona executes the applicable rules.
Allow it, reject it, modify it, or route it to the right person for review.
The agent keeps working when permitted.
Approved actions resume with the decision, policy result, and outcome retained as evidence.
Your agents stay yours. The final say stays with you.
Keep the agents, tools, models, and orchestration you already use. Add policy and human judgment immediately before the actions that need control.
Your review operations stay inside your own cloud.
Run Stacksona Gate in your own cloud with 100% data sovereignty over your review data. Policies, approval records, and audit evidence remain under your organization’s control. Planned marketplace availability across the platforms below: Early Q4 2026.
AWS
Planned availability · Early Q4 2026
Microsoft Azure
Planned availability · Early Q4 2026
Google Cloud
Planned availability · Early Q4 2026
IBM Cloud
Planned availability · Early Q4 2026
Oracle Cloud
Planned availability · Early Q4 2026
Cloudflare
Planned availability · Early Q4 2026
Give reviewers a head start, not an automatic answer.
Runtime enforcement creates structured decision history. Foresight uses your organization’s own comparable requests and outcomes to help reviewers make more consistent calls over time while people keep the final judgment.
Patterns from prior reviews
Foresight compares similar requests using your organization’s own governance history.
Comparable refunds were usually approved when the account was verified and prior refund activity was low.
Start where a mistake would be hardest to take back.
Choose the refund, payment, access change, message, or production operation that still makes you hesitate. Put a boundary there first, then give agents more room as trust grows.
Customer operations
Refunds, outbound messages, escalations, account changes, and customer data.
Finance and procurement
Payments, invoices, vendor actions, purchasing decisions, and spending thresholds.
Access and administration
Permissions, credentials, sensitive records, identity changes, and internal systems.
Production tools
Deployments, exports, destructive API calls, infrastructure changes, and irreversible actions.
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Give AI more responsibility. Keep human authority.
Bring policy enforcement, human review, and audit evidence together in one platform, inside your own cloud. Let safe work move and route consequential actions to the people who hold authority.