Use cases

Six reasons a company installs a gate. One demo for all of them.

Every use case below is played out by the same four agents in the public demo workspace: a finance agent, a procurement bot, a growth agent and a support triage agent, seven days of traffic through the real engine. Open it without an account: app.tryripcord.com/demo.

The blocked rolloutThe wrong paymentThe approval loadCustomer dataAuditorsInsurance · roadmap
Ship the agent

Deploy the agent your CTO blocked

The rollout stalled on one question: what if it's wrong once?

Stanford's 2026 AI Index puts scaled agent deployment under 10% of organizations, and 62% name security and risk as the primary obstacle, ahead of the technology itself. The agents work. Nobody could answer the question.

The gateway answers it in three steps. Connect the agent through Ripcord, so it never holds credentials. Pick the channel where approvals land. The scorecard decides. Start with a shadow week: the agent runs, the gate only watches, and you see what it would have held before it holds anything.

Outcome: the CTO gets the gate, you get the agent. Start the shadow week →

Stop the wrong payment

A wire is the least recoverable thing an agent can do.

Three payments from the demo week, all through the real engine:

$48,200
Meridian Consulting LLC. New beneficiary, large amount, and a pattern the ledger remembers: risk 80.
Held for the AP manager
$31,500
Redwood Compliance Partners. Rejected for a missing W-9, re-submitted verified.
Paid canary-first
5 × $9,640
Apex Partners Ltd, each under the $10k line. The 24-hour window adds them up.
Caught at two, frozen at three
Outcome: none of the three left the building on the agent's say-so. Watch it live →

Approve less, not everything

The supervision tax eats what the agent was hired to save.

Fifty agents acting every two minutes is 1.08 million actions a month. Spread over a hundred employees, approving everything is 540 approvals per person per working day, one every 53 seconds.

Ripcord scores instead of asking. Safe actions run instantly. Only the risky ones reach a human, routed to the person who owns the consequence. Repeated takeovers become route-to-human rules for that pattern, so the inbox gets quieter as the ledger grows.

In the demo: after a week of traffic from four agents, three holds are waiting: a wire, a mass send, a deletion. Open the inbox →
Keep the company

Keep customers out of the model

86.9% of companies have delayed an AI deployment because data governance wasn't ready.

Not budget. Not buy-in. Data (AvePoint State of AI, 2026). The gateway answers it the way the credential vault answers keys: the model works on tokens, never on the record.

PII becomes vault tokens before the model reads it. Egress is gated like dollars: 3,200 records headed outside fail closed. Every field that crossed the boundary is in the lineage ledger, hash-chained.

Outcome: the agent cannot leak what it never saw. See the data rules →

Prove it to auditors

Auditors want evidence, not a policy document.

ISO/IEC 42001 and the NIST AI Risk Management Framework are where audits are converging. Ripcord was not built to pass them; it was built to gate actions. It turns out a gate that records every verdict produces the evidence on its own.

Hash-chained ledger, replayable verdicts, conduct grades per agent, and a one-click incident dossier from the Near-Miss Report. The mapping is public, clause by clause: compliance mapping. Your audit firm can get a read-only seat.

Outcome: internal audit becomes a query. Open the evidence workbook →

Insure the fleetRoadmap

Insurers learn about risk from claims: paperwork filed after the disaster.

The gateway stands in the doorway every action walks through, so it sees the near-misses, and this month's near-miss rate predicts next quarter's losses. Every gated action builds the first actuarial table for agent risk: the denominator no insurer has.

This is where Ripcord is going, not what it sells today. The carrier conversations are on the roadmap, and the gateway is what makes them possible. Why it compounds →

Open the demo workspace → Book a demo The features, one by one
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