RuleRail instantly resolves WISMO queries, processes complex refunds, and updates shipping data in 35 seconds — fully integrated with your headless tech stack or existing helpdesk.
Trusted by headless brands processing 10,000+ tickets/month
What RuleRail resolves
Every “where is my order?” is handled the moment it arrives. RuleRail reads live carrier data, drafts a personalised tracking reply, and closes the ticket — no human required.
You define the rules: refund ceilings, SKU exclusions, reship lifetime limits. RuleRail enforces them without exception. The AI can only act within the thresholds stored in your playbook.
Run the full automation pipeline in the background before ever going live. Every simulated decision is logged so your ops team can verify accuracy and build trust before flipping the switch.
ROI Calculator
Drag the slider to your monthly ticket volume and watch the numbers update instantly.
Monthly ticket volume
10,000tickets / mo
$25,000
Based on industry avg of $2.50/ticket — includes agent salary, training, tooling & QA overhead.
$4,500
$0.45/ticket — fully automated resolution, no headcount required.
$20,500
Switch to RuleRail and redirect your team to complex, high-value tickets only humans should handle.
That's $246,000 saved annually — enough to hire 3 additional engineers or fund your next infrastructure investment.
Our developer-first API architecture was built for headless environments. Integrate our secure analyze endpoint into your custom Next.js storefront, Gorgias app, or Gladly webhook stack instantly with a standard POST payload.
Built-in trust
Every automated action is evaluated against a playbook your team defines. Thresholds for refunds, reshipping, and address changes are stored in your database — not in the model.
Set a per-order dollar ceiling. Any refund request above it is automatically escalated to a human agent — the AI never overrides your limits.
Address changes are only permitted on unfulfilled orders. Once a shipment is in transit, the policy gate blocks the mutation and routes to your team.
Lifetime reship limits prevent abuse. If a customer has already received a complimentary reship, subsequent requests are escalated rather than approved.
Exclude high-value, custom, or non-returnable products from automated refund and reship flows with a single playbook entry.
Every decision — approved, escalated, or shadow-simulated — is written to a tamper-evident log with a timestamp, intent, and the exact policy gate evaluated.
Any ticket the AI cannot confidently resolve is escalated immediately. Your team never inherits a half-processed request.
RuleRail operates in shadow mode by default — every action is simulated and audited before you enable live execution.
Start with a risk-free audit. We analyse your existing ticket volume, map your policies, and show exactly which requests RuleRail would have resolved — before you touch production.
Describe your tech stack and typical ticket volume. Our team will contact you within 4 hours to deploy Shadow Mode on your sandbox environment — no production risk, no commitment.