Catch AI Spend Problems Before They Become a Bill

The first sign of a problem is usually the invoice

AI spend moves fast, and the first sign of a problem is usually the invoice. A misattributed workload, a retry loop burning tokens, a guardrail scan costing more than the request it's protecting — none of that shows up until someone goes looking, and by then it's already cost real money.

• Spend spikes get noticed after the bill, not before
• Misattributed or misrouted spend hides in aggregate numbers
• Retry and failure waste rarely gets a dedicated line item
• Guardrail scans can quietly cost more than the requests they protect

A feed that finds the leak, not just the total

Cloptima's intelligence engine continuously analyzes gateway and telemetry data and ranks what it finds by dollar impact, with evidence attached. You can acknowledge or dismiss each finding right from the feed.

• Spend and usage anomalies against each workload's own baseline
• Unattributed or unpriced spend, found and named
• Retry, failure-waste, and guardrail-overhead findings
• Unit-economics anomalies, such as cost per ticket or workflow

Turn on traffic, then check the feed

Turn on the governed gateway or telemetry ingest for your highest-spend apps, then check the Recommendations tab after the first few days of traffic to see what the intelligence feed surfaces.

Evidence-backed, not a raw alert firehose

Findings are evidence-backed and ranked, not a raw alert firehose — each one carries the context needed to act on it or dismiss it with confidence, and dismissed items stay out of the way going forward.