Dashboard
Shadow-mode ROI view. Preventable loss, violations found, approval candidates, ROI-if-enforced — all computed against the seeded 90-day refund history.
Open the dashboard →Five preview screens with illustrative refund data. Click through dashboard, approvals, ledger, policies, and replay — every screen is the production surface, rendered with seeded patterns we picked to show the policy engine doing real work.
Each stop is a public route. Bookmark any of them — there's no session, no signup, no connection.
Shadow-mode ROI view. Preventable loss, violations found, approval candidates, ROI-if-enforced — all computed against the seeded 90-day refund history.
Open the dashboard →See the queue an approver actually sees. Refund context, policy that flagged it, suggested decision, and the Slack/email notification path. Click through to reject, approve, or escalate.
Open the approval queue →Tamper-evident record of every refund decision. Policy version, approver, execution outcome, and replay link stay attached to every entry — auto-export PDF for audit.
Open the ledger →The starter policy library plus the visual rule editor. Five seeded templates: high-value refunds, repeat requesters, post-dispute denials, time-window limits, manager-approval flow.
Open the policy library →Run any policy against the last 90 days. See exactly which refunds would have been blocked, escalated, or auto-approved — before flipping enforcement on. No production risk.
Open the simulation lab →The tour is illustrative. Your data starts at one of these three doors.
One-click Stripe Connect OAuth. Axiru imports your last 90 days, evaluates them against your policies, and shows you the same dashboard you just toured — populated with your refunds. No enforcement until you flip it on.
Start free →Privacy-first path. Export refunds from your Stripe Dashboard and drop the file in. We parse it in the browser — nothing uploaded, nothing stored. Connect Stripe later when you want live updates.
Upload a CSV →Connect Stripe in shadow mode. We replay your last 90 days and send a tamper-evident PDF showing which refunds would have auto-approved, escalated, or been denied. Zero enforcement, zero risk.
Run a refund risk audit →Want to see Axiru running on data that resembles yours, with a human walking you through it? Pick a 30-minute slot and bring your toughest refund-policy edge cases.
Book a demo →Plain answers about what the tour shows and what it doesn't.
No. Every screen uses illustrative seeded data — refund patterns we picked to show the policy engine doing real work. Nothing is touching production systems and no Stripe account is connected.
No. The demo is fully public. Sign-up is only required when you want to evaluate against your own Stripe data — at which point Stripe Connect handles the auth in one click, and your dashboard turns into the same surface you're touring here.
Every screen is the actual production component, rendered with seeded data. You can click into any decision, open any approval, view the ledger entry, and see exactly how the surface behaves. No edited frames, no narration, no waiting.
The dashboard tour covers refund governance — the core of Axiru. The Agent Action Gateway and Evidence Agent bolt-on are documented separately on /ai-agents and /evidence; both surface inside the same dashboard and ledger you're touring here.
The dashboard is one click away. Five public routes. No signup, no Stripe connection, no commitment.
Start in shadow mode first. Move to live enforcement later.