Usage-Based Billing Accuracy
Usage data mismatches, anomalies, and incorrect tier application create billing errors that erode customer trust. Kaana monitors usage-based billing continuously and flags problems before they reach invoices.
Prevent up to 95% of usage billing errors proactively — before they reach your customers' invoices.
Caught proactively before reaching invoices
Industry average — Kaana eliminates them
Continuous monitoring across platforms
Every affected record tracked and linked
Before Kaana vs. After Kaana
See how continuous monitoring transforms usage-based billing accuracy.
Error Detection
Customers discover billing errors and file complaints — reactive, damaging to trust
Configurable rules catch tier miscalculations and usage anomalies before invoices generate
Investigation
Manually querying databases and cross-referencing usage records across systems
Full affected entity tracking with drill-down to specific bill runs, subscriptions, and records
Resolution
Guesswork and trial-and-error fixes without understanding root cause
AI-guided remediation with prioritized actions and target system identification
Monitoring
Periodic spot-checks that miss the majority of anomalies between review cycles
Continuous monitoring with configurable schedules — every 60 minutes, hourly, or daily
Key Capabilities
From detection rules to AI-guided remediation — a complete billing accuracy system.
Usage-Based Billing Detection Rules
Kaana's System Feed includes purpose-built detection rules for usage-based billing anomalies. Each rule connects to your billing system's usage data, applies aggregation logic to identify unusual patterns, and fires alerts when thresholds are breached. Rules run on configurable schedules so you catch anomalies before they hit invoices.
- Configure detection rules that monitor usage records from Zuora, Stripe, Chargebee, or other billing integrations
- Define aggregation windows, signal triggers, and deduplication logic to reduce noise and surface real issues
- System-provided rules cover common scenarios — unusual usage spikes, zero-usage billing, tier miscalculations
- Test rules with dry runs before activating them, and review generated signals to calibrate sensitivity
Anomaly Flagging & Affected Entity Tracking
When a usage anomaly is detected, Kaana creates a signal with full context — severity level, category, the specific integration and business system involved, and a list of every affected entity. Your team can see exactly which bill runs, subscriptions, or usage records are impacted.
- Each signal includes severity, category, integration source, priority, and the number of affected entities
- Drill into affected entities to see IDs, types, target dates, execution dates, and current status
- Track similar issues across signals to identify recurring patterns that indicate a systemic configuration problem
- Assign signals to team members, set priority, and track resolution through unhandled to resolved workflows
AI-Guided Remediation
KAI analyzes usage billing anomalies and recommends specific remediation steps — from reviewing billing configuration settings to synchronizing subscription states. Each proposed action targets a specific system and explains what to check and why.
- KAI determines whether usage anomalies stem from configuration errors, data quality issues, or upstream integration failures
- Proposed actions are prioritized — fix the root cause first, then address downstream effects
- Each action includes the target system, a description of what to review or change, and the expected outcome
- Ask KAI follow-up questions to dig deeper into specific entities or explore alternative remediation approaches
Why Kaana for Billing Accuracy
Catch usage anomalies early
Detect unusual patterns and spikes before they become incorrect invoices.
Prevent incorrect invoices
Block billing errors from reaching customers with proactive monitoring.
Configurable detection rules
Tailor monitoring to your specific usage models and billing logic.
AI-guided remediation
KAI identifies root causes and recommends prioritized fix actions.
Full entity traceability
Track every affected bill run, subscription, and usage record.
Continuous billing monitoring
Always-on monitoring across Zuora, Stripe, and Chargebee.
Ensure every invoice is accurate
According to MGI Research, billing errors affect up to 12% of B2B invoices. For usage-based models, the complexity of tier calculations makes errors even more common — and harder to catch without automation.
See how Kaana's detection rules catch usage billing anomalies before they become customer-facing errors.