When an AI agent needs to change a ticket, CRM record, incident, or workflow, Rippletide shows what evidence and approval are required before that action can be enabled safely.
One 30-minute session to map your riskiest write-action and the evidence or approval gaps to fix. No live production access required.
AGENT PROPOSES. RIPPLETIDE DECIDES.
The hard part is letting it write.
AI agents can draft, recommend, and retrieve. But when they need to close a ticket, update a CRM field, change an incident, publish a customer-facing status update, cancel an account, or trigger a workflow, enterprise teams ask the same question: what stops the wrong action from being committed?
Rippletide reviews the agent's write surface, builds Safety Cases for risky actions, and previews the evidence and approval decisions required before those actions can be enabled safely.
Start with a review of your agent's tool surface. Prove the first Safety Case in scenarios and decision previews. Expand into runtime enforcement when the Safety Case is proven.
Identity tells you who can act. Rippletide tells you whether this specific action has enough business evidence to execute.
Safety Packs package risky write-actions, evidence checks, approval rules, unsafe scenarios, and audit traces for common agent workflows. Each pack is built and proven on your agent's real tool surface in 10 working days.
Control the customer-impacting actions that make enterprise support agents risky to deploy.
Designed for workflows in Zendesk, Intercom, Stripe, and internal support APIs.
Explore the Support PackMake IT and operations agents safer before they change production workflows.
Designed for workflows in ServiceNow, Jira Service Management, and internal ITSM tools.
Explore the ITSM PackControl the revenue-impacting writes that sales and RevOps agents need to perform.
Designed for workflows in Salesforce, HubSpot, email, and CPQ and contract workflows.
Explore the Revenue PackAn 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 a review of your agent's tool manifest. Build the first Safety Case. Expand into runtime enforcement when it is proven.
Also available for Claude Code rule enforcement as a developer proof surface.
Rippletide started as deep research: a hypergraph decision database, automatic ontologies, and neuro-symbolic reasoning for agent decisions. That research now runs underneath every risk review, Safety Case, and decision preview.
Automatic Ontologies and the Context Graph for agents are where that work lives. All of it is gathered on the research hub.
Everything you need to know about write-action safety. Can't find your answer? Talk to our team
Rippletide helps AI agent teams prepare high-risk write-actions for enterprise approval. It reviews the agent's tool surface, identifies risky actions, defines the required evidence and approval rules, tests unsafe scenarios, and packages the result in a traceable Safety Case.
Rippletide is built for teams deploying support, ITSM, and revenue agents that need to act inside Zendesk, Stripe, ServiceNow, Salesforce, or internal APIs.
We map one high-risk write-action, identify the evidence and approval gaps, and show what the first Safety Case would include. No live production access required.
A Safety Pack is a reusable package for a workflow family. It includes known risky actions, evidence checks, approval rules, unsafe scenarios, and trace templates, built and proven on your agent in 10 working days.
A decision preview shows how a specific write-action would be cleared, held for approval, or blocked in a tested scenario. It includes the evidence present, what is missing, the reason, and a trace before runtime enforcement is activated.
IAM controls who can call a tool. Governance platforms provide broad oversight. Tool connectors provide access. Rippletide reviews whether one specific high-risk write-action has enough business evidence and approval to be enabled safely.
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.
Review your tools, find your riskiest write-action, and turn it into a Safety Case your enterprise customer can review.