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 surfaces what it finds directly in the console's Recommendations tab: spend and usage anomalies against a workload's own baseline, attribution and pricing findings, retry and failure-waste findings, guardrail-overhead findings, and unit-economics anomalies. Each item is ranked by dollar impact with evidence attached, and you can acknowledge or dismiss it right from the feed.

• Spend and usage anomalies measured against each workload's own baseline
• Attribution and pricing findings — spend that's misattributed or mispriced
• Retry and failure-waste findings
• Guardrail-overhead cost findings
• Unit-economics anomalies (cost per answer, ticket, workflow, or customer)
• Ranked by dollar impact, with acknowledge/dismiss actions and audit-ready evidence

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.