Rippletide checks each important agent action against the business context, rules, live evidence, and approvals that apply right now.
Access to a system is not enough to make the right decision.
An agent can draft, recommend, and call tools. But when it needs to close a ticket, update a CRM field, change an incident, publish a customer-facing status update, cancel an account, or trigger a workflow, it must know what is true for this business and this case.
Rippletide connects the policies, systems, traces, and approvals that govern an action. It makes the relevant conditions explicit, so the agent can move forward when they are met and surface the exceptions when they are not.
Startwith one important agent action.
Provethe decision flow against scenarios and real business context.
Expandfrom decision previews to runtime activation when the action is proven.
Identity tells you who can act. Rippletide tells you whether this specific action has enough business evidence to execute.
Choose one action that still creates a human queue: closing an incident, changing an account, or approving an exception. Rippletide checks the facts and business conditions before the action reaches a business system, so complete cases can move forward and unclear or risky cases reach the right person.
An ITSM agent proposes closing a Sev-2 incident and updating the customer status page. In this scenario preview, Rippletide checks the runbook, incident severity, affected customers, owner approval, and status-page policy.
{
"decision": "APPROVAL_REQUIRED",
"reason": "Customer-facing status changes require incident commander approval.",
"evidence": ["Sev-2 confirmed", "Runbook matched"],
"missing_evidence": ["incident_commander_approval"],
"trace_id": "tr_123"
}The agent is not blocked from working. Only the risky write-action is flagged until the right evidence and approval are captured.
Security Review Dossier
A homegrown approval layer is self-attested. Rippletide gives agent companies and enterprise teams a reusable, review-ready dossier showing how high-risk write-actions are detected, tested, approved, and traced.
EU data residency available. No training on customer data. SOC 2 audit in progress.
Rippletide reviews the tool surface your agents already expose, whatever the framework underneath.
Start with one important action. Bring the tools, business rules, live evidence, and approvals into a reviewable decision. Teams can see what allows an action to proceed, what needs a person, and what must stop.
Explore the developer workflowAutomatic Ontologies turn policies, API schemas, records, and workflow traces into a Context Graph. Underneath it: a hypergraph decision database and neuro-symbolic reasoning. The result is a business context an agent decision can be checked against and explained.
Everything you need to know about write-action safety. Can't find your answer? Talk to our team
Rippletide is the Action Runtime for AI agents. It checks each important action against the business context, rules, live evidence, and approvals that apply right now, then returns an explainable decision: allow, escalate, or block.
Rippletide is built for teams deploying support, ITSM, and revenue agents that need to act inside Zendesk, Stripe, ServiceNow, Salesforce, or internal APIs.
It evaluates one important action using agreed cases and frozen criteria. It shows which cases are allowed, which must escalate, and which must be blocked, without changing production.
If the action is READY, production activation for that same action is scoped separately. If it is NOT READY, the result identifies the precise remaining gap.
A decision preview shows how a specific write-action would be allowed, escalated, or blocked in a tested scenario. It includes the evidence present, what is missing, the reason, and a trace before runtime activation is considered.
IAM controls who can call a tool. Governance platforms provide broad oversight. Tool connectors provide access. Rippletide determines whether one specific high-risk write-action is legitimate in its business context, with the evidence and approval that apply to it.
The free risk review does not. We start from the agent's tool manifests, MCP exports, OpenAPI schemas, or JSON definitions. Any later runtime expansion is scoped separately.
You can build a basic approval layer. The harder part is producing reusable evidence for enterprise security review: risky action inventory, evidence requirements, unsafe scenario tests, approval traces, and audit-ready documentation.
Start with one important agent action. The 10-Day Proof makes the business context, evidence, and exceptions explicit before production activation is considered.