Runtime governance for AI agents

Make AI policy executable.

Stacksona turns your policies into rules agents must follow while they work. Allow safe actions automatically, reject what crosses policy, and ask a person only when judgment is needed.

Request launch updates See runtime governance

Policy → runtime rules Allow · Reject · Review Agents continue automatically

Stacksona runtime governance decision interface

Runtime decision

REVIEW · issue_refund · policy matched

See the boundary

Same agent. Same tool. Different control.

Runtime governance sits immediately before execution. Safe work passes through, policy violations stop, and only the decisions that need judgment pause for a person.

Without runtime governance Agent executes directly

NO POLICY CHECK

Agent decides to actWorkflow reaches an external action.

READY

issue_refund$2,400 · verified customer

CALL

Action executedThe agent calls the same tool and the $2,400 refund executes immediately.

DONE

Policy evaluatedNO

Human judgment availableNO

Agent blocked from executionNO

With Stacksona Policy executes at runtime

ENFORCED

Agent decides to actWorkflow reaches the same external action.

READY

issue_refund$2,400 · verified customer

CHECK

Runtime ruleRefunds from $500 to $5,000 require manager approval.

POLICY

REVIEWManager judgment required before execution.

human review

Manager review

The workflow is paused at this action. The rest of the agent state is preserved.

Paused for managerThe agent waits only at the action that needs judgment.

OUTCOME

Policy evaluatedYES

Decision retainedYES

Workflow resumes when allowedYES

Control without turning every action into an approval.

Routine work stays automatic. Only the action that crosses a review boundary pauses for a person.

Policy → executable rules

Start with the policy you already have.

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.

Request launch updates Read the docs

Company refund policy

Verified refunds under $500 may be processed automatically. Refunds from $500 to $5,000 require manager approval. Refunds above $5,000 require finance authorization.

issue_refund · amount < $500Verified customer

ALLOW

issue_refund · $500 to $5,000Route to manager

REVIEW

issue_refund · amount > $5,000Finance authorization required

ESCALATE

Runtime governance

Govern the action, not the whole workflow.

Stacksona does not replace your agent stack. It adds a lightweight decision boundary immediately before actions with real consequences.

01 / PROPOSE

The agent reaches a tool or action.

Send the proposed action and the context needed to evaluate it.

02 / ENFORCE

Stacksona executes the applicable rules.

Allow it, reject it, modify it, or route it to the right person for review.

03 / CONTINUE

The agent keeps working when permitted.

Approved actions resume with the decision, policy result, and outcome retained as evidence.

Your agents stay yours

Put Stacksona at the action boundary.

Keep the agents, tools, models, and orchestration you already use. Add runtime governance immediately before the actions that need control.

JavaScript SDK MCP server n8n node Decision API

View integrations Read the docs

Runtime governance, not a new agent stack

Your agent Any framework or workflow

Stacksona Policy · decision · evidence Runtime boundary

Real action Message, refund, access, deploy

SDK MCP n8n API

Permitted actions continue Every decision is retained

Foresight

Use review history to sharpen future judgment.

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.

InsightsSurface patterns across comparable runtime decisions and outcomes.

AdvisoryGive reviewers grounded guidance while people keep the final judgment.

Refund agent workflow Comparable history found

Patterns from prior reviews

Foresight compares similar requests using your organization’s own governance history.

Outcome consistency

STRONG

Review coverage

GOOD

Recent similarity

GROWING

Advisory

Comparable refunds were usually approved when the account was verified and prior refund activity was low.

Where runtime governance fits

Control actions with real consequences.

Start with one action your organization already knows should be governed, then expand the rules as agents take on more work.

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 agents rules, then let them work.

Turn policy into runtime controls, enforce them at the action boundary, and involve people only when the decision actually needs them.

Request launch updates Read the docs