Approval inbox
Review sensitive AI agent actions before they execute.
Approval inbox for AI agent workflows
Approval inbox for AI agents
Stacksona helps organizations review important AI agent actions before they happen. When an agent is about to send a message, issue a refund, update a record, export data, or change access, Gate sends the request to the right reviewer and keeps a record of the decision.
Let agents move faster without letting them act alone.
Start with one action that needs review, then expand when your team is ready.
APPROVAL BEFORE ACTION
pending_review · issue_refund · high risk
Simple decision API
No framework lock-in
Approval inbox
A purpose-built inbox for agent approvals
Slack threads and ticket comments were not built to approve AI agent actions. Gate keeps the request, reviewer, decision, notes, timing, and outcome together so teams can see what happened later.
Decision records
Capture who approved, rejected, or commented on each request.
Reviewer details
Show reviewers what the agent wants to do, who or what it affects, and why review is needed.
Review path
Show why the request needed review and who it was sent to.
Exportable records
Share records of reviewed actions with operations, risk, compliance, and customer teams.
That makes messages, refunds, record changes, exports, and access changes easier to review before they run and easier to understand later.
Founder point of view
AI agents are starting to do real work.
“AI agents are moving from suggestions to actions. Stacksona Gate gives organizations a simple approval inbox for those moments where a human needs to review the action before it happens.”
Eric Vivens, Founder, Stacksona
Teams are getting comfortable letting agents draft, summarize, and recommend. The risk changes when those agents start sending messages, changing records, triggering refunds, or touching internal systems.
Gate was built for that moment: right before the agent takes an action your team would want reviewed.
Review the action first
Refunds, customer messages, data changes, and admin actions can wait for the right person before they run.
Give reviewers the context they need
Reviewers see what the agent wants to do, why it matters, and what will happen if they approve it.
Keep the record with the action
Every approval or rejection keeps the reviewer, request, notes, timing, and outcome together.
The problem
Agents are entering workflows that need approval
AI agents are moving beyond drafts and recommendations. They are
starting to touch customers, records, money, internal systems, and
business workflows.
That creates questions every organization needs to answer:
Who reviewed this?
What did they see?
Why was it approved?
What happened after the decision?
Monitoring is after the fact
You may learn what happened, but only after an agent already touched a customer, record, account, or workflow.
Framework tools create lock-in
Control should not depend on moving every agent into one framework or rebuilding orchestration from scratch.
Manual reviews get scattered
Slack threads, tickets, and spreadsheets do not create a clear record for actions that already ran or were stopped.
Add approval before action.
Start with one action, like refunds or outbound messages, then add more actions when your team is ready.
Why Gate is different
No platform migration. No workflow rebuild.
Gate does not replace the tools your team already uses.
Add it before the actions that need review, then keep your existing agents, automations, prompts, and internal systems in place.
Any agent
Your agent does not need to be rebuilt around Gate. It only needs to call Gate before an action that needs review.
Any workflow
Start with one action your team would not want running without review, then expand across support, sales, finance, operations, or internal automation.
Any stack
Use polling, webhooks, reviewer routing, and records without moving into a new agent platform.
How it works
The approval loop is simple.
The agent prepares the action, Gate gets the right person involved when needed, and the workflow only continues when the decision allows it.
Choose the actions that need review
Start with actions like refunds, customer messages, record changes, data exports, access changes, or production API calls.
Send the request before it runs
When the agent reaches that action, send the details to Gate before the tool or workflow continues.
Show the reviewer what matters
Include what the agent wants to do, who or what it affects, and why the action needs review.
Review the request
A reviewer approves, rejects, or comments in the Gate inbox.
Return to the agent
The agent continues only when the decision allows it, and the review record stays attached.
Developer proof
Simple to add where actions already happen.
Gate fits into the workflow you already have. Add one check before the action runs and keep your existing tools, prompts, and orchestration.
One API
call
Keep your stack
Start in
minutes
1
Agent asks Gate
Send the action, reviewer details, and reason before running the tool.
2
Reviewer decides
Approve, reject, or leave notes for later review.
3
Agent continues
Run the action only when Gate returns an approved or allowed decision.
Guarded tool call
decision = gate.request(action="issue_refund", risk="high")
if decision.approved:
issue_refund()Start with one action your team already knows should be reviewed. Expand only when you are ready.
Live developer tools
Install Stacksona where your agents already run.
Stacksona now ships production-ready npm packages for agent runtimes, JavaScript applications, and n8n automations. Pick the surface that matches your workflow and start guarding sensitive actions without rebuilding your stack.
@stacksona/mcp-server
Connect MCP-capable agent clients to Stacksona Gate so tool execution can request approval before important actions run.
npm i @stacksona/mcp-server
View npm package
@stacksona/sdk
Add Gate decision checks directly inside Node.js and TypeScript services with a package designed for application-level guards.
npm i @stacksona/sdk
View npm package
n8n-nodes-stacksona
Bring approval, policy, and audit checkpoints into visual n8n workflows that coordinate agents, tools, and business systems.
npm i n8n-nodes-stacksona
View npm package
Use cases
For the moments agents should not handle alone.
Use Gate before agent actions your team would not want running without review.
Customer operations
Refunds, account changes, escalations, and customer-impacting messages get routed for review before execution.
Revenue and outbound
Prospect messages, quote changes, CRM updates, and campaign actions can pause for approval before they affect revenue workflows.
Finance and operations
Vendor workflows, payment changes, procurement steps, and invoice actions can require human approval before moving forward.
IT and admin
Access changes, plan updates, permissions, and internal system actions can be reviewed by the right owner first.
Compliance-heavy workflows
Any workflow where your team may need to show who reviewed the action, what they saw, and what they decided.
Answers teams search for
Questions teams ask before agents take action.
Stacksona sits right before the action runs. The agent asks first, the right person or rule decides, and the result is kept with the request.
Learn
Guides for teams putting agents into real workflows.
Learn where to add review before agents send messages, update records, export data, or call production systems.
AI observability vs runtime governance
Understand where monitoring ends and pre-execution control begins.
Runtime governance for AI agents
Learn where to add review before actions run.
Human-in-the-loop approvals
Route sensitive agent actions to the right reviewer.
AI agent audit trails
Capture evidence across requests, policies, approvals, and execution.
Responsible operations
Stacksona supports carbon removal through Stripe Climate.
Responsible AI should include responsible operations. Stacksona contributes 1.5% of every purchase to Stripe Climate, helping fund carbon removal as we build governance for agentic AI.
View our Stripe Climate contributionStart evaluating an approval inbox for agent actions.
Route important agent actions to the right reviewer before they run. Keep a record of who reviewed the request, what they saw, and what they decided. Start with one workflow, then expand when your team is ready.
Designed for organizations that want agent control without rebuilding their stack.