Executive Summary

Many subscription businesses lose 1–5% of recurring revenue to billing leakage caused by failed renewals, misapplied discounts, entitlement drift and tax or proration errors; this problem affects mid-market and enterprise SaaS, fintech platforms and any company running recurring billing at scale, and is increasingly painful as customer counts and plan complexity grow. Teams currently rely on slow audits, manual reconciliation, or expensive consultants, so the failure modes persist and often go undetected for months. You could build a "60s AI audit" that connects to webhooks/event streams (Stripe, Chargebee, Recurly, custom billing systems), ingests recent billing events, and in under a minute surfaces a ranked set of actionable anomalies with root-cause links and estimated dollars at risk. Package this as an out-of-the-box product with a $4.8K ACV target and clear ROI dashboards that let finance and RevOps validate recoveries quickly. This market is attractive now because the subscription economy continues to expand, real-time billing events are broadly available, and lightweight AI/observability approaches can surface high-value anomalies with limited labeled data; the opportunity is roughly a $4.8B addressable market (1,000,000 businesses × $4.8K ACV), and internal scoring gives a Market Score of 93/100 and Revenue Potential of 88/100. Low-friction integration and short time-to-value make adoption easier than heavy analytics platforms. To stand out you need precise connectors for the 3–5 most popular billing providers, accuracy metrics (precision/recall), and a remediation workflow that reduces noise and delivers verifiable recovered revenue; these are real strengths if executed well. Key challenges are covering billing edge cases (taxes, international rules, nested entitlements), avoiding false positives that erode trust, and competing with medium-sized incumbents who offer bespoke audits—so initial focus should be on delivering reliable, measurable wins (e.g., >1% recovered ARR) in a handful of verticals before broad expansion.

Market Opportunity

Stop SaaS revenue leakage — 60s AI audit for subscription billing targets a $4.8B = 1,000,000 subscription businesses x $4.8K ACV (global addressable businesses willing to pay for automated billing audits/analytics) total addressable market with medium saturation and a year-over-year growth rate of 15-25% growth as subscription economy & billing complexity rises.

Key trends driving demand: Subscription economy growth -- more businesses run recurring revenue models, increasing billing complexity and leakage surface area; Real-time billing events -- wider adoption of webhooks and event streams enables instant anomaly detection; AI-driven observability -- lightweight ML models can surface actionable financial anomalies without extensive training data; Payment retries & dunning complexity -- evolving retry/dunning logic creates predictable, automatable leakage patterns.

Key competitors include ProfitWell (now part of Paddle), Baremetrics, Chargebee, Recurly, Adjacent/workaround solutions (Google Sheets/Excel, QuickBooks, and custom engineering).

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Stop SaaS revenue leakage — 60s AI audit for subscription billing

Executive Summary

Market Validation

Market Opportunity

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