Paid but no access — detect, reconcile and auto-fix payment-to-provision gaps

Many subscription and online businesses routinely encounter "paid but no access" incidents where payment succeeds but provisioning fails, causing revenue leakage, support load, and customer churn; this problem affects ops, engineering, and revenue teams at both SMBs and mid-market companies. The issue is often hard to detect because payments, provisioning, and downstream systems live in different silos, and reconciliation is manual or reactive, costing hours of engineer time and delaying fixes. The product would provide real‑time detection of payment-to-provision gaps, automated reconciliation against payment processor events, and configurable auto-remediation workflows with human-in-the-loop approvals and audit trails. It would integrate with major processors and orchestration layers (Stripe, Adyen, Braintree, payment webhooks), surface deterministic root causes using event correlation and lightweight ML, and offer SDKs, dashboards, and policy-driven retries/rollbacks so teams can reduce mean time to resolution from hours to minutes. Go-to-market targets are the 2,000,000 subscription and online businesses that represent an $18.0B spend opportunity (2,000,000 × $9K ACV); pricing and packaging should aim for the $9K ACV benchmark for payments reliability and ops tooling. Timing is favorable: a subscription-first economy, the consolidation of payment touchpoints via orchestration platforms, and advances in observability and ML lower the technical barriers and increase willingness to buy; the market score of 92/100 and revenue potential of 88/100 reflect that. This idea can stand out by delivering low‑false‑positive, auditable automation that demonstrably recovers revenue, but execution challenges are nontrivial — robust multi-processor integrations, handling edge cases across legacy systems, and meeting security and compliance requirements are necessary to win in a medium-competitive landscape.