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Monday, 9:02 AM
Ori flagged 14 minutes ago
Payment failures up 340% in the last 2 hours
Correlated with deployment #847. Sentry shows 47 new checkout errors since 02:14 AM. Slack #support has 12 new customer complaints.
Roll back deploy #847 and notify the on-call engineer via Slack.
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Operations visibility, not dashboards.
Dashboards show you data. Oju shows you what to do about it.
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Ori watches for patterns humans miss. Cost anomalies, compliance drift, security events — surfaced before they become incidents.
Cross-tool correlation
A Stripe refund spike + a Sentry error surge + a Slack complaint cluster = one story. Oju connects the dots.
The magic
Three signals. One story.
Your tools see fragments. Oju sees the full picture. When signals converge across Stripe, Sentry, and Slack, Oju tells you what actually happened — and what to do next.
Stripe
Refunds +340%
Sentry
47 new errors
Slack
12 complaints
Checkout service failure — deploy #847
A breaking change in deploy #847 is causing checkout timeouts. This explains the Stripe refund spike, the Sentry error surge, and the Slack complaints. All three are one incident.
Not a dashboard
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Dashboards are rear-view mirrors. Oju is a windshield — showing you what's coming, not just what happened.
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The people who keep things running.
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See across every tool. Act on anomalies before they cascade. One view replaces 12 tabs.
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Continuous evidence collection. Audit-ready at any moment. EU AI Act, GDPR, SOC 2 — always current.
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AI cost visibility down to the model level. Performance baselines. Incident correlation across the stack.
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AI spend justified to the penny. Waste detection. Provider-level cost comparison with ROI attribution.
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