Stop risky action before it happens
Refunds, outbound messages, data changes, and admin actions wait for the right review path.
Simple governance for agents that already
exist
Govern any agent, in any workflow.
Stacksona Gate adds approval, policy, and audit controls before agents take high-risk actions. No migration. No new framework. No rebuild.
If your agent can make an API call, it can ask Gate for approval.
Register an agent, guard a tool call, review the request, and return the decision in minutes.
APPROVAL BEFORE ACTION
pending_review · issue_refund · high risk
Simple decision API
No framework lock-in
Developer proof
Simple implementation. Clear control point.
Gate fits into the agent workflow you already have. Add one decision check before the sensitive action and keep your existing tools, prompts, and orchestration.
One API
call
Keep your stack
Start in
minutes
1
Agent asks Gate
Send the action, context, and risk level before running the tool.
2
Reviewer decides
Approve, reject, or leave a clear audit trail for later review.
3
Agent continues
Run the action only when Gate returns an approved decision.
Guarded tool call
decision = gate.request(action="issue_refund", risk="high")
if decision.approved:
issue_refund()Start by guarding one high-risk action. Expand only when you are ready.
Founder point of view
Agents are becoming operators. Most governance was not built for that.
“Governance isn’t simple and it’s very fragmented. We make it simple for anyone to integrate with a highly accessible system that can hook into any AI agent workflow as-is.”
— Eric Vivens, Founder, Stacksona
Gate came from a simple observation: teams were getting comfortable letting agents draft, summarize, and recommend, but the moment those agents needed to actually do something, the control layer became messy.
Gate was built for that gap: a simple control point before action, designed to work with the systems, tools and languages teams already use.
Give reviewers the context they need
Action details, risk, comments, and decisions stay together instead of living in scattered chats.
Keep proof attached to the workflow
Every approval or rejection becomes a usable audit trail for operators and governance teams.
The problem
Agent governance is too complicated for the teams that need it now.
Teams are moving from AI chat to AI execution. Agents are using tools, touching business systems, and making decisions that affect customers, records, money, and operations.
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 reliable decision trail for runtime actions.
Add approval before action.
Place one simple decision point in front of sensitive tools, then expand governance where risk is highest.
Why Gate is different
No platform migration. No workflow rebuild.
Gate does not ask you to replace your agent stack.
Use OpenAI, LangChain, CrewAI, custom scripts, internal tools, SaaS workflows, or your own orchestration layer. Gate sits at the decision point, not at the center of your architecture.
Any agent
Your agent does not need to be rebuilt around Gate. It only needs to call Gate before a guarded action.
Any workflow
Start with one sensitive action, then expand across support, sales, finance, operations, or internal automation.
Any stack
Use polling, webhooks, policy rules, reviewer routing, and audit logs without moving into a new agent platform.
How it works
The approval loop is simple.
Each step has one job: collect the action context, make a human decision when needed, then return a clear result to the agent.
Register an agent
Create an agent in Gate and copy the API key.
Define guarded tools
Choose which tools or workflows need approval.
Request a decision
Before the tool call, your agent sends Gate the action details.
Review the request
A human reviewer approves, rejects, or comments in the Gate inbox.
Return to the agent
The agent acts on the decision, with the full review history logged and attached.
Use cases
For the moments agents should not handle alone.
Use Gate anywhere an agent can create financial, customer, compliance, or operational risk.
Customer support
Your agent is about to issue a $400 refund. Gate pauses the action, routes it to a reviewer, and records the decision.
Sales and outbound
Your agent is about to send a personalized message to 250 prospects. Gate lets a human approve before anything leaves the system.
Finance and operations
Your agent is about to update a vendor payment workflow. Gate requires review before the action moves forward.
Account and admin workflows
Your agent is about to change a customer’s plan, access level, or account status. Gate creates a human decision point first.
Regulated workflows
Your agent is about to take an action that may need proof later. Gate keeps the approval trail attached to the decision.
Start with one guarded action.
Pick one tool call your agent should not make alone. Add Gate before it. Review the request. Return the decision. Keep the audit trail.
Designed for teams that want agent control without rebuilding their stack.