Rippletide maps high-risk AI agent write-actions, tests unsafe scenarios, previews evidence and approval decisions, and packages the proof enterprise teams need before enabling writes.
One 30-minute session to identify your riskiest write-action. 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 issue a refund, close a ticket, update a CRM field, change an incident, 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 AI support agent proposes a $750 refund for an enterprise customer. In this scenario preview, Rippletide checks the ticket, the order, the customer tier, the refund reason, the policy threshold, and the approval requirement.
{
"decision": "APPROVAL_REQUIRED",
"reason": "Refund above $500 requires manager approval and linked ticket evidence.",
"missing_evidence": [],
"approval_url": "...",
"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.
Everything you need to know about write-action safety. Can't find your answer? Talk to our team
No. IAM decides who can call a tool. Rippletide reviews whether a specific high-risk write-action has enough business evidence to be enabled safely.
No. Rippletide focuses on risky agent write-actions: evidence, approvals, escalation, and traceability, packaged so enterprise teams can enable writes with confidence.
No. Rippletide does not compete on connector breadth. It reviews the write-actions exposed by agents and tools, then packages the evidence and approval controls around them.
No. Rippletide targets the specific risky action. Safe actions can continue; risky writes are flagged for evidence, approval, or escalation.
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.
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.
Most teams should start with the Support Action Safety Pack if their agents perform customer-impacting actions such as refunds, cancellations, credits, or ticket resolution.
Book a free risk review. In one 30-minute session, we map your agent tool surface, rank the riskiest write-actions, and show you what a Safety Case looks like.
Review your tools, find your riskiest write-action, and turn it into a Safety Case your enterprise customer can review.